JP6836038B2 - Human body model providing system, human body model transformation method, and computer program - Google Patents

Description

The present invention provides a human body model according to the physique of a subject, and in particular, using an anatomical human body model including a skeletal model, a muscle model, etc. in stages, a model of each stage is attached to the body of the subject. The present invention relates to a human body model providing system, a human body model deformation method, and a computer program that are automatically deformed accordingly.

Conventionally, it has been performed to generate a human body model according to the physique of a subject by using various measurement results regarding the physique of the subject. For example, in Patent Documents 1 and 2 below, a human body model showing an external contour shape of a human body prepared in advance is deformed based on measurement results (height, chest circumference, dimensions of each part, etc.) related to the physique of the subject. Is disclosed.

Further, in Patent Document 3 below, it is shown that a skeletal model is derived from data showing the height, weight, and outer shape of a subject (subject) (see FIG. 13 and the like in Patent Document 3), and further, regarding the weight. Create a numerical model with a muscle model added based on the weight distribution shown in the database, and obtain a polygon model for the human body with polygon data about the shape of muscle and fat (FIGS. 39, 40 of Patent Document 3). See) etc. are also disclosed. Further, Patent Document 4 below shows that the shape of the internal tissue (tissue such as muscle, fat, etc.) of the deformed human body model based on the polygon mesh is subjected to the deformation process so as to be close to the shape of the internal tissue of the individual. (See FIGS. 1, 7, 8 and the like in Patent Document 4).

In Patent Document 5 below, standard skeleton model data and the like indicating the skeleton and the like according to age, gender, etc. are prepared, and standard skeleton model data and the like are appropriately used by using software for editing the shape and the like. It is shown that the user makes manual corrections.

On the other hand, a human body model is also presented using the compositional measurement results of the subject. For example, in Patent Document 6 below, it is shown that fat weight, lean body mass, etc. are obtained from the results measured based on the bioelectrical impedance method, and the obtained weights, etc. are displayed on a human body model (Patent Document 6). 6). Further, Patent Document 7 below discloses that the result of measuring a subject using a body composition meter (biological information: fat mass, visceral fat mass, muscle mass, etc.) is represented by a human body image (Patent Document 7). 7).

More recently, a 3D human anatomy app that has made it possible to present the anatomical composition of the human body three-dimensionally at each level, such as the skeletal level and muscle level, at the desired angle and desired magnification. It is provided (see Non-Patent Document 1).

JP-A-2002-183758 Japanese Unexamined Patent Publication No. 10-49045 Japanese Unexamined Patent Publication No. 11-192214 Japanese Unexamined Patent Publication No. 2013-89123 Japanese Unexamined Patent Publication No. 4-195476 Japanese Unexamined Patent Publication No. 2001-321350 Japanese Unexamined Patent Publication No. 2014-18444 teamLabBody "-3D Motion Human Anatomy The world's first 3D human anatomy app that reproduces the movement and morphology of living humans", [online], [Searched on March 16, 2016], Internet <URL: http //www.teamlabbody.com/3dnote-jp/>

The contents of Patent Documents 1, 2, 6 and 7 described above all represent a human body model reflecting the measurement results of the subject, but as in Non-Patent Document 1 described above, muscles are superimposed on the skeletal model. The problem that the contents of Patent Documents 1, 2, 6 and 7 cannot deal with the transformation of the shape of the muscle model so that the measurement result of the subject can be reflected on the anatomical muscle model arranged in the above manner. There is.

Further, Patent Document 3 does not actually measure the muscle mass and fat mass of the limbs (left and right arms, left and right legs) and trunk of the subject, but numerically uses various databases such as weight DB to numerically measure muscle and fat. Therefore, there is a problem that it is not possible to provide a model that reflects the actual muscle attachment and fat attachment of the subject. Since the polygon data on the shapes of muscles and fats disclosed in Patent Document 3 is based on the human body shape based on the wire frame model, a general model showing the simplified human body shape is generated. Stay in. Since Patent Document 4 is based on a numerical human body model, there is a problem that it is not possible to provide a model according to the individual body of the subject.

Further, fat is mentioned in Patent Documents 3, 4, 6 and 7 described above, but as a way of expressing fat in a human body model, FIG. 6 of Patent Document 6 and FIGS. 9 and 10 of Patent Document 7 are used. As described above, only a portion indicating fat is added to the peripheral contour of the human body model. For example, in a model in which fat is arranged on the muscle model of Non-Patent Document 1 described above and such fat is arranged. There is a problem that Patent Documents 3, 4, 6 and 7 cannot deal with the expression of the amount of fat. In particular, when the measured amount of fat is less than the standard, it is generally difficult to visually represent the state of the less than standard fat in a human body model.

Furthermore, as in Non-Patent Document 1, in the case of showing an anatomical human body model in which muscles and the like are superimposed on a skeleton model, a skeletal model and a model at the stage where muscles are arranged according to the measurement result of the subject, etc. As described above, if the model is deformed for each stage, there is a problem that it becomes difficult to ensure consistency between models at different stages.

The present invention has been made in view of such circumstances, and is a human body model providing system and a human body model deformation that can automatically deform a muscle model having muscles superimposed on a skeletal model according to a measurement result of a subject. The purpose is to provide methods and computer programs.

In addition, the present invention makes it possible to visually express the case where the amount of fat is higher than the standard or the case where the amount of fat is lower than the standard, depending on the measurement result of the subject, even at the stage of the fat model having fat to be superimposed on the muscle model. It is an object of the present invention to provide a model providing system, a human body model transformation method, and a computer program.

Further, the present invention prepares a skeletal model, a muscular model or a fat model in a state in which a plurality of types are set in advance according to the physique type, and the skeletal model, the muscular model or the fat model which is set Human body model providing system, human body model transformation method, which makes it possible to ensure consistency with models at other stages even if the model is transformed at one stage by performing transformation processing in cooperation. And to provide computer programs.

In order to solve the above problems, the human body model providing system according to the present invention is a human body model providing system that performs deformation processing of a human body model showing a physique based on information related to a physical measurement result of a subject. , A skeletal model according to the skeleton and a muscle model corresponding to the muscle covering the skeletal model, a means for acquiring a numerical value related to muscle mass at a specific part of the subject's body, and a numerical value related to the acquired muscle mass are standard. When it is larger than the standard, the means for deforming the muscle model so that the muscle portion related to the specific part in the muscle model becomes thicker, and when the numerical value related to the acquired muscle mass is smaller than the standard, the muscle model It is characterized by providing a means for deforming the muscle model so that the muscle portion related to the specific portion in the above is thinned.

The human body model providing system according to the present invention is a means for acquiring a numerical value related to visceral fat in the trunk of a subject, and when the acquired numerical value related to visceral fat is larger than a standard, the abdominal part in the muscle model is thick. It is characterized in that the muscle model is provided with a means for deforming the muscle model.

In the human body model providing system according to the present invention, when the human body model includes a fat model corresponding to the fat covering the muscle model and the muscle model is deformed, the fat model is subjected to the deformation of the muscle model. It is characterized by being provided with a means for deforming.

The human body model providing system according to the present invention is a means for acquiring a numerical value related to the subcutaneous fat mass at a specific part of the body of the subject, and when the acquired numerical value related to the subcutaneous fat mass is larger than the standard, the said in the fat model. It is characterized by providing a means for deforming the fat model so that the fat portion corresponding to a specific part becomes thicker.

In the human body model providing system according to the present invention, when the surface of the fat model is colored with a reference color and the value related to the acquired subcutaneous fat amount is larger than the standard, it corresponds to the specific part in the fat model. It is characterized by providing means for making the color of the surface portion darker than the reference color.

The human body model providing system according to the present invention includes means for making the color of the surface portion corresponding to the specific part of the fat model lighter than the reference color when the acquired numerical value related to the subcutaneous fat amount is smaller than the standard. It is characterized by that.

In the human body model providing system according to the present invention, when the acquired numerical value related to the subcutaneous fat amount is smaller than the standard, the muscle of the muscle model is reflected through the fat portion corresponding to the specific part in the fat model. It is characterized in that it is provided with means for changing the portion.

In the human body model providing system according to the present invention, the skeletal model includes a standard skeletal model, a first skeletal model in which the dimensions of the limbs are shorter than those of the standard skeletal model, and a standard skeletal model. There is a second skeletal model in which the dimensions of the limbs are lengthened, and the skeletal model includes a standard skeletal model corresponding to the standard skeletal model and a first skeletal model corresponding to the first skeletal model. And a second skeleton model corresponding to the second skeleton model, a means for acquiring a measurement result relating to the physique of the subject, and a standard skeleton model based on the acquired measurement result, the first skeleton model. The skeleton model and the second skeleton model are provided with a means for specifying any one of them, and the muscle model corresponding to the specified skeleton model is deformed.

In the human body model providing system according to the present invention, the skeletal model includes a standard skeletal model, a first skeletal model in which the dimensions of the limbs are shorter than those of the standard skeletal model, and a standard skeletal model. There is a second skeletal model in which the dimensions of the limbs are lengthened, and the fat model includes a standard fat model corresponding to the standard skeletal model and a first fat model corresponding to the first skeletal model. And a second fat model corresponding to the second skeleton model, a means for acquiring a measurement result relating to the physique of the subject, and a standard skeleton model based on the acquired measurement result, the first A skeleton model and a means for specifying any one of the second skeleton models are provided, and the fat model corresponding to the specified skeleton model is modified.

The human body model providing system according to the present invention modifies the specified skeletal model so as to similarly enlarge or reduce the skeletal model based on the means for acquiring the measurement result related to the physique of the subject and the acquired measurement result. The skeleton model is deformed, and the muscle model is deformed in accordance with the deformation of the skeleton model.

In the human body model providing system according to the present invention, the skeleton model has a deformation base point, and the deformation base point is supported from a plurality of vertices related to the physique of the subject included in the information related to the physical measurement result of the subject. The means for specifying the corresponding point, the means for specifying the direction from the joint closest to the deformation base point to the corresponding point in the skeleton model, and the direction in which the bone portion including the deformation base point and connected to the joint is specified. The length of the bone portion so that the means for changing the angle of the bone portion around the joint and the deformation base point of the bone portion whose angle has been changed coincide with the corresponding point. Means for deforming the bone and when the bone portion of the skeleton model is deformed, the corresponding portion of the bone portion in the muscle model changes in shape following the deformation of the bone portion of the skeleton model. It is characterized in that it is provided with a means for deforming the muscle model.

The human body model deformation method according to the present invention is a human body model deformation method in which a human body model processing device performs deformation processing of a human body model showing a physique based on information related to a physical measurement result of a subject. Including a skeletal model according to the skeleton and a muscle model according to the muscle covering the skeletal model, the step of acquiring the numerical value related to the muscle mass at a specific part of the subject's body and the numerical value related to the acquired muscle mass are standardized. When it is larger than the standard, the step of deforming the muscle model so that the muscle portion related to the specific part in the muscle model becomes thicker, and when the numerical value related to the acquired muscle mass is smaller than the standard, the muscle model It is characterized by including a step of deforming the muscle model so that the muscle portion related to the specific portion becomes thin.

The computer program according to the present invention is a computer program for causing a computer to perform deformation processing of a human body model showing a physique based on information related to a physical measurement result of a subject, and the human body model corresponds to a skeleton. A skeletal model and a muscle model corresponding to the muscle covering the skeletal model are included, and the step of acquiring a numerical value related to the muscle mass at a specific part of the subject's body and the numerical value related to the acquired muscle mass are standardized on the computer. When it is larger than the standard, the step of deforming the muscle model so that the muscle portion related to the specific part in the muscle model becomes thicker, and when the numerical value related to the acquired muscle mass is smaller than the standard, the muscle model It is characterized in that the step of deforming the muscle model is executed so that the muscle portion related to the specific portion becomes thin.

In the present invention, in the muscle model including the muscle covering the skeletal model, if the numerical value related to the muscle mass in the specific part of the body of the subject is larger than the standard, the muscle part corresponding to the specific part is thickened. If it is smaller than the standard, the muscle part corresponding to the specific part is thinned, so that the deformation reflecting the measurement result of the subject can be performed even at the stage of the muscle model. As a result, even when muscles are anatomically placed on the skeleton of the human body, it is possible to show a model that reflects the state of the muscles of the subject, which is useful when anatomically showing how the muscles of the subject are attached. Be done.

In the present invention, when the value related to the visceral fat in the trunk of the subject is larger than the standard, the abdominal part is thickened in the muscle model, so that the amount of visceral fat in the subject is also determined at the stage of the muscle model. You will be able to reflect the appropriate fatness. That is, unlike the subcutaneous fat that is attached so as to overlap the muscles, the visceral fat is added to the internal organs covered with the muscles. Therefore, when the visceral fat is large, the inside of the body is located at the site corresponding to the abdominal muscles. Since the situation is such that the muscle is pushed outward from the body, such a situation can be expressed at the stage of the muscle model in which the muscle is placed on the skeletal model.

In the present invention, with respect to the fat model containing fat covering the muscle model, when the muscle model is deformed, the fat model is also deformed in shape accordingly. Therefore, the thickness or thinness of the muscle model It will be possible to express the fat model by reflecting the situation, and it will be possible to ensure consistency between the muscle model and the fat model.

In the present invention, if the numerical value related to the amount of subcutaneous fat in a specific part of the body of the subject is larger than the standard, the fat part of the fat model corresponding to the specific part is thickened, so that the actual subcutaneous fat of the subject You will be able to express the parts marked with with a fat model in shape. That is, since subcutaneous fat is added between muscle and skin, the measured amount of fat is expressed as the thickness indicating subcutaneous fat at the stage of the fat model, so that the actual human body It will be possible to anatomically express how subcutaneous fat is attached with a composition that matches the compositional situation.

In the present invention, the surface of the fat model is colored as a reference color, and if the numerical value related to the amount of subcutaneous fat in a specific part of the subject's body is larger than the standard, the surface part of the fat model corresponding to the specific part. Since the color of is darker than the standard color, it is possible to distinguish the part with subcutaneous fat by the visual shade of color in addition to the shape expression by the thickness of the fat model, and in the fat model. It becomes easier to distinguish how the subcutaneous fat is attached.

In the present invention, the surface of the fat model is colored as a reference color, and if the numerical value related to the amount of subcutaneous fat in a specific part of the body of the subject is smaller than the standard, the surface part of the fat model corresponding to the specific part. Since the color of is lighter than the standard color, it is possible to visually express the case where there is little fat attachment, which was difficult to express with the conventional human body model, by the degree of surface color lightness in the fat model. , The range of expression of how to attach fat (subcutaneous fat) can be expanded compared to the past.

In the present invention, if the numerical value related to the amount of subcutaneous fat in a specific part of the body of the subject is smaller than the standard, the fat part of the fat model corresponding to the specific part permeates and the muscle of the muscle model is reflected. Therefore, by introducing a new expression method called the degree of transmission, it becomes possible to visually express the case where the amount of fat attached is small, which was difficult to express with the conventional human body model, with the fat model.

In the present invention, a total of three types of skeletal models are prepared according to the size of the limbs, and a total of three types of muscle models corresponding to these three types of skeletal models are also prepared to suit the physique of the subject. From the measurement results, we first identified a matching skeletal model from a total of three types of skeletal models, and then modified the muscle model corresponding to the identified skeletal model. Even if it is deformed, it becomes easier to ensure consistency with the skeletal model on which the muscle model is based, and it becomes possible to provide a well-balanced anatomical human body model as a whole.

In the present invention, a total of three types of skeletal models are prepared according to the size of the limbs, and a total of three types of fat models corresponding to these three types of skeletal models are also prepared to suit the physique of the subject. From the measurement results, first, a matching skeletal model was identified from a total of three types of skeletal models, and then the fat model corresponding to the specified skeletal model was modified. Even if it is deformed, it becomes easier to ensure consistency with the skeletal model on which the fat model is based, and it becomes possible to provide a well-balanced anatomical human body model as a whole.

In the present invention, the skeletal model is similarly enlarged or reduced based on the measurement result relating to the physique of the subject, and the muscle model is deformed according to the deformation of the skeletal model. The skeletal model is deformed to an appropriate size according to the appropriate dimensions, and the muscle model is also deformed according to the deformation of the skeletal model, and the deformation consistent with each model is made according to the physique of the subject. It will be easy to do.

In the present invention, the corresponding points corresponding to the deformation criteria of the skeleton model are specified from the measured values of a plurality of vertices related to the body surface of the subject, and the skeleton portion of the skeleton model is matched with the specified corresponding points. Since the angle and length of the subject are deformed, the skeletal model is finely deformed according to the physique of the subject, and the muscle model is also deformed according to the deformation of the skeletal model. The actual physical condition can be shown in detail, the physical condition of the subject can be anatomically discriminated through each model, and the results of training by the subject's exercise, diet, etc. can be visually displayed by the human body model according to the present invention. You will be able to confirm.

In the present invention, with respect to the muscle model in which the skeletal model is covered with muscles, the muscle portion corresponding to the specific part of the subject's body is thickened or thinned according to the numerical value related to the muscle mass, so that it is anatomical. Even with a model in which muscles are placed on the skeleton of the human body, the state of the subject's muscles can be expressed, and the user (subject, etc.) can anatomically confirm how the subject's muscles are attached.

In the present invention, when the value related to visceral fat in the trunk of the subject is larger than the standard, the abdominal part of the muscle model is thickened, so that the degree of fatness according to the amount of visceral fat of the subject is anatomically determined. It can be expressed at the stage of muscle model, and the user (subject, etc.) can confirm how to attach visceral fat, etc., in distinction from subcutaneous fat.

In the present invention, when the muscle model is deformed, the fat model is also deformed in shape following the deformation. Therefore, the thickness or thinness of the muscle model can be reflected at the stage of the fat model, and the subject. The muscle condition can be confirmed anatomically even at the stage of fat model.

In the present invention, the fat portion of the fat model corresponding to the specific part of the subject is thickened according to the numerical value related to the amount of subcutaneous fat in the specific part of the body, so that the actual fatness of the subject is determined. , It can be expressed in shape at the stage of fat model, and it is possible to anatomically confirm how subcutaneous fat is attached, distinguishing it from visceral fat.

In the present invention, in the fat model with a reference color, if the numerical value related to the amount of subcutaneous fat in a specific part of the subject's body is larger than the standard, the color of the surface portion of the fat model corresponding to the specific part. Is darker than the standard color, so in addition to the shape expression by the thickness of the fat model, the part with subcutaneous fat can be visually expressed by the shade of color, and the way of attaching subcutaneous fat can be seen more easily.

In the present invention, in the muscle model with a reference color, if the numerical value related to the amount of subcutaneous fat in a specific part of the body of the subject is smaller than the standard, the color of the surface portion of the fat model corresponding to the specific part. Is lighter than the standard color, so it is possible to visually express the state of low fat, which was difficult to express with the conventional human body model, with the light color of the surface of the fat model, and through the element of color, the user (subject, etc.) ) Can anatomically confirm how subcutaneous fat is attached.

In the present invention, if the numerical value related to the amount of subcutaneous fat in a specific part of the body of the subject is smaller than the standard, the fat part of the fat model corresponding to the specific part permeates and the muscle of the muscle model is reflected. Therefore, it is possible to visually express how fat is attached, which was difficult to express with a conventional human body model, by a new expression method of permeation of subcutaneous fat.

In the present invention, a total of three types of skeletal models are prepared according to the degree of the limb dimensions, and a total of three types of muscle models corresponding to these three types of skeletal models are also prepared, and the physique of the subject is prepared. A total of three types of skeletal models and muscle models that match the above are specified, and the specified muscle model is deformed. Therefore, even if the muscle model is deformed, the consistency with the corresponding skeletal model is maintained. It is possible to present to the user an anatomical human body model that can be maintained and secures a shape relationship that does not collapse between each model.

In the present invention, a total of three types of skeletal models are prepared according to the degree of the limb dimensions, and a total of three types of fat models corresponding to these three types of skeletal models are also prepared, and the physique of the subject is prepared. A total of three types of skeletal models and fat models are identified, and the specified fat model is deformed. Therefore, even if the fat model is deformed, the consistency is maintained in relation to the corresponding skeletal model. It is possible to present to the user an anatomical human body model that can be maintained and secures a shape relationship that does not collapse between each model.

In the present invention, the skeletal model is similarly enlarged or reduced according to the measurement result related to the physique of the subject, and the muscle model is deformed according to the deformation of the skeletal model. In addition to being able to show the appropriate size for the subject's physique, the muscle model can also be shown at the appropriate size for the subject's physique, and each anatomical model of the size that matches the subject's physique size is consistent. It can be confirmed in the removed state.

In the present invention, a corresponding point corresponding to the deformation standard of the skeleton model is specified from a plurality of vertices related to the physique (body surface) of the subject, and the skeleton model is designed so as to match the specified corresponding point. Since the angle and length of the skeleton part are deformed, the shape of the skeleton model can be finely adjusted according to the physique of the subject, and the shape of the muscle model can be appropriately adjusted according to the shape adjustment of the skeleton model. The actual skeleton of the subject can be expressed in detail with each anatomical model, so that the user (subject, etc.) can anatomically confirm the results of the subject's exercise, diet, etc. that appear on the body with the human body model according to the present invention. It can also be used to raise the user's awareness of training such as exercise and diet.

It is a schematic diagram which shows the structure of the health management system including the human body model providing system which concerns on embodiment of this invention. It is a block diagram which shows the overall structure of a health management system. It is a block diagram which shows the main internal structure of the arithmetic unit. (A) is a schematic view showing an example of an initial screen, and (b) is a schematic view showing an example of a measurement start screen. (A) is a schematic view showing an example of a measurement preparation screen, (b) is a schematic view showing an example of a measurement in progress screen, and (c) is a schematic view showing an example of a measurement end screen. It is a chart which shows an example of the contents of a reference value table. It is a block diagram which shows the main internal configuration of the server device which constitutes a human body model providing system. It is a chart which shows an example of the contents of a member database. It is a chart which shows the range related to each model for men in a human body model table. (A) is a schematic view showing a deformation of thickening the upper left arm of the muscle model, and (b) is a schematic view showing a deformation of thinning the upper left arm of the muscle model. It is the schematic which shows the deformation which thickens the upper left arm of a fat model. It is a schematic diagram which shows the deformation which makes the upper left arm of a fat model thin, the change which makes the color light, and the change which increases the transparency. FIG. 5 is a schematic diagram showing a situation in which a muscle model and a fat model expand or contract following a similar enlargement or contraction of a skeletal model. (A) is a schematic diagram showing an example of a plurality of deformation base points provided in the skeletal model, (b) is a schematic diagram showing an example of a plurality of deformation base points provided in the muscle model, and (c) is a plurality of examples provided in the fat model. Schematic diagram showing an example of the deformation base point of It is a chart showing the contents of the point table. It is a chart which shows the contents of a model numerical table. It is a flowchart which shows a series of processing procedures of a human body model transformation method. (A) and (b) are schematic views showing the deformation state of the left pelvis of the skeleton model. (A) to (c) are schematic views showing the deformation state of the upper left humerus of the skeletal model. It is a schematic diagram which shows the deformation state by visceral fat in the abdominal part of a muscle model. It is the schematic which shows the state which displayed the skeleton model on a communication terminal. It is a schematic diagram which shows the state which displayed the human body model which covers a skeleton model with a muscle model on a communication terminal. It is a schematic diagram which shows the state which the muscle model which covered the skeleton model is further covered with the fat model, and the human body model is displayed on the communication terminal. It is a chart which shows the range related to the fat model for a woman in a human body model table. It is a chart which shows an example of the contents of a female fat reference table.

1 and 2 are schematic views showing an overall configuration as an example of the health management system 1 according to the present embodiment. This health management system 1 is a system in which the human body model providing system 50 according to the present invention is connected to the human body measurement system 5 via a network NW, and the physical measurement of the subject H sent from the human body measurement system 5 is performed. The result is acquired, and a human body model (see FIGS. 21 to 23) in a form corresponding to the acquired measurement result is provided. After the measurement, the subject H and the like can confirm the anatomical human body model provided by the human body model providing system 50 by using the communication terminal 3. As the communication terminal 3, although a tablet showing a communication function is shown in FIGS. 1 and 2, in addition to the tablet, a mobile communication terminal such as a smartphone or a personal computer having a communication function (notebook personal computer, desktop personal computer, etc.) Can also be used.

The human body measurement system 5 that measures the user who is the subject H performs the required physical measurement by combining the body composition analyzer 10 and the coordinate measuring device 20, and processes the measured data by the measurement processing device 30. It has become. Membership registration is required to use the health management system 1 of the present embodiment, and in order to register as a member, a business that manages the use of the health management system 1 by using the user's name, nickname, password, email address, etc. It will be submitted to the body, and the business entity will issue a user ID that identifies the user for the user who has registered as a member. The information of the user registered as a member, the measurement result of the user, and the like are stored in the member database 60 of the human body model providing system 50. Hereinafter, the human body measurement system 5 will be described first, and then the human body model providing system 50 will be described.

The body composition analyzer 10 included in the human body measurement system 5 in the health management system 1 is an apparatus (first measuring device) for measuring the composition of the subject H. This body composition analyzer 10 measures the whole body of the subject H and measures a specific part, and the physical measurement items for the whole body include body weight, body fat percentage, fat mass, muscle mass, body water content, and the like. There are body fat percentage, muscle mass, fat mass, etc. as physical measurement items for a specific part. The specific parts to be measured are the left arm, right arm, trunk, left leg, and right leg, and the measurement of fat in the trunk (body) includes the measurement of visceral fat and the measurement of subcutaneous fat. Subcutaneous fat is measured for the remaining limbs (left and right arms, left and right legs).

As shown in FIG. 1, the body composition analyzer 10 includes a trapezoidal main body portion 11 on which the subject H is placed, and a left grip portion 12a and a right grip portion 12b gripped by both hands of the subject H. The left grip portion 12a and the right grip portion 12b are connected by left and right connecting lines 13a and 13b. A measurement electrode portion that comes into contact with the sole of the foot of the subject H is provided at a place where the subject H is placed on the upper surface of the main body portion 11, and similarly, a measurement electrode portion is provided on the surfaces of the left and right grip portions 12a and 12b. Has been done. Further, the body composition analyzer 10 connects the main body portion 11 to the measurement processing device 30 by the first connection line 14.

When the measurement start instruction sent from the measurement processing device 30 via the first connection line 14 is input to the main body 11, the body composition analyzer 10 starts the measurement of each of the above-mentioned items, and starts measuring about from the start of the measurement. The measurement is completed in 15 seconds. The body composition analyzer 10 sends the measurement result including the measured numerical value and the like from the main body 11 to the measurement processing device 30 via the first connection line 14.

On the other hand, the coordinate measuring device 20 included in the human body measuring system 5 is a device (second measuring device) capable of measuring the three-dimensional data (OBJ data) of the object to be measured, and has a total of three columnar portions 21, 22. , 23. These three columnar portions 21, 22, and 23 are arranged around the main body portion 11 of the body composition analyzer 10 described above at positions that are the vertices of the triangles so as to form a triangle in a plan view. Three-dimensional measurement is performed in synchronization with the measurement by the composition analyzer 10. Each columnar portion 21, 22, 23 includes a plurality of laser light emitting units 21a, 22a, 23a and scanning status acquisition units 21b, 22b, 23b, and emits laser light from each laser light emitting unit 21a, 22a, 23a. The object to be measured is scanned, and the scanned state is captured and detected by the scanning status acquisition units 21b, 22b, and 23b. In the coordinate measuring device 20, the columnar portions 21, 22, and 23 are connected to the measurement processing device 30 by the connecting lines 24a, 24b, and 24c for three-dimensional measurement.

When the measurement start instruction sent from the measurement processing device 30 via the three-dimensional measurement connecting lines 24a, 24b, 24c is input to the columnar portions 21, 22, 23, the three-dimensional measuring instrument 20 is used. Laser light is emitted from each of the laser beam emitting portions 21a, 22a, 23a of the columnar portions 21, 22 and 23 to start the measurement, and about 2 seconds after the start of the measurement, the detection and measurement of the scanning state of the laser beam is completed and the measurement is performed. The measurement result (OBJ data) including the numerical value is sent to the measurement processing device 30.

The measurement processing device 30 calculates various dimensional values related to the measurement object based on the numerical results (OBJ data, information on the positions of each part of the human body) sent from the coordinate measuring device 20, and calculates various dimensional values. The measurement processing device 30 constitutes a part of the coordinate measuring device 20.

Various dimensional values that can be obtained by the measurement processing apparatus 30 by the calculation process include the total size of the object to be measured, the body surface area, the body volume, the length of the arbitrary part, the peripheral length of the arbitrary part, and the like. When the human body called subject H is physically measured, in addition to the height of the human body, the length (sleeve length) of each arm, which is a specific part of the human body, the circumference of the wrist, and the circumference of the arm. (Maximum circumference), trunk length (sitting height), waist circumference, chest circumference, and buttock circumference, length for each leg (inseam length), ankle circumference, and Items related to the physique of subject H, such as the circumference of the thigh (maximum circumference), are measured (in addition, the width of the left and right shoulders, the neckline, etc. are also measured). As shown in FIG. 1, since the subject H opens his legs at the time of measurement, the measured value becomes smaller than the actual height by the amount of opening the legs. Therefore, the height is multiplied by a predetermined ratio in the measurement processing device 30. And perform automatic correction.

The above-mentioned method of arranging the three columnar portions 21, 22, and 23 at each coordinate of the triangle for three-dimensional measurement is a known three-dimensional distance measurement method using the principle of triangulation (principle of triangulation). The surface of the object to be measured is scanned by the laser light emitted from the laser beam emitting units 21a, 22a, 23a, and the scanning status is imaged by the scanning status acquisition units 21b, 22b, 23b, and the columnar portions 21, 22 are captured. , 23 are points on each surface of the object to be measured (the surface is made into a mesh) based on the relationship between the position of the triangle and the point of the scanning position of the laser beam in the images captured by the scanning status acquisition units 21b, 22b, 23b. The intersection) is composed of three-dimensional coordinates (X-axis corresponding to one direction of the horizontal plane, Y-axis corresponding to the direction orthogonal to the X-axis in the horizontal plane, and Z-axis corresponding to the X-axis and the vertical direction orthogonal to the Y-axis. The expanded position will be obtained.

When the coordinate measuring device 20 measures the human body (subject H) in three dimensions, the positions of about 30,000 points on the surface of the human body are obtained by the numerical values of the three-dimensional coordinate values, and these three-dimensional measurements are performed. Each point is numbered so that it can be identified (there are 1st point to about 30,000th point), and the measurement result (OBJ) is the correspondence between each number and the 3D coordinate value. Data) is included. As for the X, Y, and Z axes constituting the three-dimensional coordinate system related to the three-dimensional coordinate values, in the present embodiment, as shown in FIG. 1, the X-axis direction coincides with the width direction of the human body, and the Y-axis The direction is matched with the height direction of the human body, and the Z-axis direction is matched with the thickness direction of the human body. Therefore, for example, when the human body is viewed from the front, it is mainly represented by the XY coordinate system, and when the human body is viewed from the lateral direction, it is mainly represented by the YZ coordinate system.

FIG. 3 is a block diagram showing a main configuration of the measurement processing device 30. As the measurement processing device 30 of the present embodiment, a computer having a connection function with each of the measuring instruments 10 and 20 and a communication function via a network NW is used, and FIG. 3 shows a case where the computer is used. The configuration of is shown. The measurement processing device 30 is a CPU 30a that performs overall control and various processes, and various devices and the like are connected by an internal connection line 30h. The various devices and the like are connected to the external device connection unit 30b and the communication unit 30c. , ROM 30d, RAM 30e, display input / output interface 30f, storage unit 30g, and the like.

The external device connection unit 30b is a connection interface (for example, a USB serial interface) capable of bidirectionally transmitting various signals, information, etc. according to various standards (for example, standards such as IEEE). In the embodiment, the external device connection unit 30b connects to the measuring instruments 10 and 20, obtains the measurement results of the measuring instruments 10 and 20, and sends a measurement start instruction to the measuring instruments 10 and 20. I have to.

The communication unit 30c corresponds to a required communication standard corresponding to a communication device connected to the network NW (for example, a LAN module), and a communication line L and a required communication device (not shown, for example, a router or the like). By connecting to the network NW via the above, communication with the human body model providing system 50 is possible.

The ROM 30d stores a program or the like that defines the basic processing contents of the CPU 30a, and the RAM 30e temporarily stores the contents, files, or the like associated with the processing of the CPU 30a. The display input / output interface 30f is an interface to which the display device 35 is connected by a connection line 36. Since the display device 35 of the present embodiment has a display screen 35a having a touch screen function, the display device 35 is displayed on the display screen 35a. In addition to outputting each screen data corresponding to various screens, it also performs a process of accepting input of operation contents by touch on the display screen 35a and sending the received operation contents to the CPU 30a.

The storage unit 30g is a storage device composed of an HDD (Hard Disc Drive), an SSD (Solid State Drive), or the like, and is a program such as a basic program P1, a three-dimensional measurement program P2, a composition measurement program P3, and a measurement management program P4. , The screen data table T1, the reference value table T2, and the like are stored. After the explanation of each program, first, the tables (screen data table T1, reference value table T2) will be described. The screen data table T1 stores a plurality of various screen data for displaying the screen contents shown in FIGS. 4 and 5 on the display device 35.

FIG. 4A shows a state in which the initial screen 40 is displayed on the display screen 35a by outputting the initial screen data stored in the screen data table T1 to the display device 35. The initial screen 40 is the screen that is first presented in the anthropometry system 5, and the text "Enter user ID and password and select the enter button" is arranged at the top of the screen and the text is arranged. Below the text, a user ID input field 40a, a password input field 40b, and a selectable enter button 40c are arranged. The initial screen 40 is provided with a selectable keyboard field 40d at the bottom of the screen, and by sequentially selecting desired keys in the keyboard field 40d, the user ID input field 40a and the password input field 40b can be filled with each other. , It is designed so that alphanumeric characters corresponding to the selected key are entered.

When the enter button 40c is selected (logged in) with alphanumeric characters (user ID and password) entered in the user ID input field 40a and password input field 40b, the entered alphanumeric characters (user ID and password) are entered. The password) is sent from the display device 35 to the measurement processing device 30, and the measurement processing device 30 transmits the input contents (user ID and password) to the human body model providing system 50. As a result of such a measurement login operation, when the human body model providing system 50 sends a reply to the measurement processing device 30 that it is registered as a member, the measurement processing device 30 is logged in for measurement. It becomes.

FIG. 4B shows the measurement start screen 41 on the display screen 35a when the login for measurement is completed and the measurement start screen data stored in the screen data table T1 is output to the display device 35. Indicates the state in which is displayed. On the measurement start screen 41, the text "When you are ready, select the measurement start button" and the selectable measurement start button 41a are arranged below the text. When the selection operation of the measurement start button 41a on the measurement start screen 41 is performed, the fact that the measurement start button 41a has been selected is sent from the display device 35 to the measurement processing device 30.

In addition, below the measurement start button 41a, the text "Measurement starts 10 seconds after the selection of the selection start button" is placed to alert the user (subject H). The reason why such a text is arranged is that the measurement by the coordinate measuring device 20 requires the subject H to stand still in a predetermined posture for a certain period of time (about 2 seconds). If the three-dimensional measurement is performed immediately after 41a is selected, it is not possible to secure a state of resting in a predetermined posture. Therefore, a preparation time of 10 seconds is provided so that the subject H can create a posture suitable for the measurement. ing.

FIG. 5A shows a state in which the measurement preparation screen 42 is displayed on the display screen 35a by outputting the measurement preparation screen data stored in the screen data table T1 to the display device 35. The measurement preparation screen 42 is displayed when the measurement start button 41a is selected on the measurement start screen 41 of FIG. 4B, and the preparation countdown column 42a is displayed below the text “until measurement start”. Is provided, and the text "Please adjust your posture" is placed below it. In the preparation countdown column 42a, the number of seconds that counts down from 10 seconds to 1 second is displayed.

FIG. 5B shows a state in which the measuring screen 43 is displayed on the display screen 35a by outputting the measuring screen data stored in the screen data table T1 to the display device 35. The measurement screen 43 is the measurement preparation screen 42 of FIG. 5A, which is displayed by switching when the countdown progresses to 0 seconds, and is displayed below the text “Measuring”. A measurement countdown column 43a is provided, and below that, the text "Please maintain your posture" is placed. In the measurement countdown column 42a, the number of seconds that counts down from 15 seconds to 1 second according to the measurement time of the body composition analyzer 10 is displayed.

FIG. 5C shows a state in which the measurement end screen 44 is displayed on the display screen 35a by outputting the measurement end screen data stored in the screen data table T1 to the display device 35. The measurement end screen 44 is the measurement screen 43 of FIG. 5B, which is displayed by switching when the countdown progresses to 0 seconds, and is displayed below the text “Measurement end”. The text "Thank you for your hard work. Please relax. Please wait for a while until the result is obtained." Is placed. After a while after the measurement end screen 44 is displayed, a result screen showing the measurement values for the measurement items is displayed on the display screen 35a.

FIG. 6 shows a reference value table T2 stored in the storage unit 30 g. The reference value table T2 stores numerical values (reference values) for determining the measured levels of muscle and fat. In the present embodiment, a plurality of reference values for determining muscle level and fat level are stored for each specific site in a total of five specific sites such as the left arm, right arm, left leg, right leg, and trunk (muscle determination). Stores multiple reference values for and fat determination).

That is, as a plurality of reference values for determining muscles for each specific part (left arm, right arm, left leg, right leg, and trunk), the reference value table T2 includes a plurality of reference values of the first to ninth reference values. Similarly, as the plurality of reference values for determining fat, a plurality of reference values such as the first to ninth reference values are included. The numerical values of the 1st to 9th reference values include "1st reference value <2nd reference value <3rd reference value <4th reference value <5th reference value <6th reference value <7th reference value <8th reference value. The magnitude relationship of reference value <9th reference value "is established.

This is to determine a total of nine levels of muscle level and fat level in the present embodiment. Explaining a total of 9 levels in the case of muscle, the standard is set to "0" level, and the levels with less muscle mass than the standard are "-1", "-2", "-3", "-". Distinguish in a total of 4 stages according to the degree of small amount such as "4", and the level with more muscle mass than the standard is "+1", "+2", "+3", "+4", etc. It is distinguished in a total of 4 stages according to the degree of. Similarly, in the case of fat, the standard is set to "0", and the level at which the amount of fat is less than the standard is distinguished by a total of four stages of "-1", "-2", "-3", and "-4". Levels with a higher amount of fat than the standard are distinguished by a total of 4 levels of "+1", "+2", "+3", and "+4".

Explaining a specific example of level classification for muscles in the case of the left arm, if the measured muscle mass value of the left arm is less than the first reference value, it is "-4", and the second reference value is equal to or higher than the first reference value. If it is less than "-3", if it is more than the 2nd reference value and less than the 3rd reference value, it is "-2", if it is more than the 3rd reference value and less than the 4th reference value, it is "-1", "0" if less than the 5th reference value, "+1" if the 5th reference value or more and less than the 6th reference value, "+2" if the 6th reference time or more and less than the 7th reference value, the 7th reference value If it is less than the 8th reference value, it is judged as "+3", and if it is more than the 8th reference value and less than the 9th reference value, it is judged as "+4" (the same applies to the measured muscle mass of other specific parts).

Further, a specific example of classifying the level of fat will be described in the case of the left arm. If the measured fat amount of the left arm is less than the first reference value, it is "-4", and the second reference value is equal to or higher than the first reference value. If it is less than "-3", if it is more than the 2nd reference value and less than the 3rd reference value, it is "-2", if it is more than the 3rd reference value and less than the 4th reference value, it is "-1", "0" if less than the 5th reference value, "+1" if the 5th reference value or more and less than the 6th reference value, "+2" if the 6th reference time or more and less than the 7th reference value, the 7th reference value If it is less than the 8th reference value, it is judged as "+3", and if it is more than the 8th reference value and less than the 9th reference value, it is judged as "+4" (the same applies to the measured fat mass of other specific parts). The numerical value representing the total of 9 levels described above means the measurement result indicating the numerical value relating to the muscle mass or the fat mass of the specific site.

As shown in FIG. 6, in the trunk, in addition to the normal values for fat (first to ninth reference values for subcutaneous fat), reference values for visceral fat (first to ninth reference values). The value) is stored in the reference value table T2, and the level can be determined for two types of fat, normal fat (subcutaneous fat) and visceral fat, in the trunk (for the amount of visceral fat). The level determination is the same as in the case of subcutaneous fat described above).

Next, each program stored in the storage unit 30g of FIG. 3 will be described. First, the basic program P1 corresponds to an operating system that defines the basic processing performed by the CPU 30a in order to make the measurement processing device 30 function as a general computer, and the basic program P1 is described above. It is assumed that the input / output function of signals and the like through the external device connection unit 30b, the communication function through the communication unit 30c, the display function / operation reception function through the display input / output interface 30f, and the like are included.

Further, the three-dimensional measurement program P2 is known using the above-mentioned principle of triangulation using the numerical values (XYZ coordinate values of the detected plurality of vertices) included in the measurement results sent from the three-dimensional measuring device 20. According to the three-dimensional distance measurement method described above, it is stipulated that the CPU 30a performs a process of calculating numerical values related to measurement items (height, length of each limb, etc.) of subject H.

The composition measurement program P3 acquires the measurement values related to fat or muscle sent from the body composition analyzer 10, and for specific parts (trunk and limbs), the measurement values are obtained in the reference value table of FIG. The process of determining which of the nine levels the measured muscle mass and fat mass corresponds to by comparing with the reference value stored in T2 is also specified. As described above, the 9 levels are shown in the stages of "-4" to "+4", the stage of "0" is the standard, and the muscle mass increases as the negative value increases from "0". Alternatively, it indicates that the amount of fat decreases, and that as the positive value increases from "0", the amount of muscle or fat increases.

The measurement management program P4 defines the contents of various processes performed by the CPU 30a with respect to the general processes in the human body measurement system 5. Specifically, programming that causes the CPU 30a to perform processing for displaying various screens on the display device 35, processing for member authentication of registered users, processing for responding to user operations, processing for sending measurement results to the human body model providing system 50, and the like. The measurement management program P4 includes the contents.

Specifically, first, a process of displaying the initial screen 40 of FIG. 4A is performed, and when the measurement processing device 30 (CPU 30a) acquires the user ID input through the initial screen 40, the acquired user ID is obtained. The measurement management program process P4 stipulates that the inquiry information for inquiring whether or not is registered is transmitted to the human body model providing system 50. Further, when the measurement processing device 30 receives a reply from the human body model providing system 50 to the effect that it has not been registered in response to the transmission of the inquiry information, the user ID input screen indicating that the user ID is input again is displayed. The measurement management program process P4 defines the process to be displayed.

On the other hand, when the measurement processing device 30 receives a reply to the effect that it is registered from the human body model providing system 50 in response to the transmission of the inquiry information, the display processing of the measurement start screen 41 of FIG. 4B is then performed. The measurement management program process P4 defines what to do. When the measurement start button 41a receives the selection operation of the measurement start button 41a, the measurement preparation screen 42 of FIG. 5A is displayed and 10 seconds have passed from the selection operation of the measurement start button 41a. The measurement management program process P4 specifies that the measurement start instruction is transmitted to the body composition analyzer 10 and the coordinate measuring device 20.

Then, the display process of the measuring screen 43 of FIG. 5 (b) is performed, and when the measurement processing device 30 (CPU 30a) receives the measurement results from both the body composition analyzer 10 and the coordinate measuring device 20, FIG. 5 (c). The measurement management program process P4 stipulates that when the display of the measurement end screen 44 is switched to and the arrangement of the calculation results is completed, the result screen indicating each numerical value of the calculation result is displayed. In addition, information related to measurement results (XYZ coordinate values of each point according to physique and body shape, numerical values related to height and dimensions of each specific part, fat (subcutaneous fat of each specific part and visceral fat of the trunk) or muscle The measurement management program process P4 also defines that the arithmetic unit (CPU30a) performs a process of transmitting the level determination result (numerical value indicating the level) based on the measurement result and information including the user ID and the like to the human body model providing system 50. To do.

By transmitting the information related to the measurement result to the human body model providing system 50, a series of processes related to the measurement of the subject H of the human body measurement system 5 including the measurement processing device 30 is once completed, and after that, the human body measurement system At 5, it is in a state of waiting for the next measurement. On the other hand, the human body model providing system 50, which receives the measurement result from the human body model providing system 50, starts a process for providing an anatomical human body model according to the subject who performed the measurement, upon receiving the measurement result. become.

FIG. 7 is a block diagram showing a main internal configuration of the human body model providing system 50. The human body model providing system 50 of the present embodiment is constructed by a general server computer (server device), but a system can be combined by combining a plurality of server devices, a database device, and the like by performing distributed processing and the like. Of course, it is also possible to build a system by combining a server device that mainly performs processing related to the provision of a human body model and a database server device that mainly performs processing related to a database that stores member data of registered members. Can be assumed).

The human body model providing system 50 (corresponding to the human body model processing device) is a system in which various devices and the like are connected to the MPU 50a that performs overall control and various processing by an internal connection line 50h. There are a communication module 50b, a RAM 50c, a ROM 50d, an input interface 50e, an output interface 50f, a storage unit 50g, and the like.

The communication module 50b is a communication device corresponding to a connection module with a network NW, and conforms to a required communication standard (for example, a LAN module). The communication module 50b is connected to the network NW via a required communication device (not shown, for example, a router or the like), and enables communication with the measurement processing device 30 and the communication terminal 3 or the like. In addition, in this embodiment, the human body model providing system 50 acquires the physical measurement result (various information related to the measurement result) of the subject H by the communication module 50b.

The RAM 50c temporarily stores the contents, files, etc. associated with the processing of the MPU 50a, and the ROM 50d stores the programs, etc. that define the basic processing contents of the MPU 50a. The input interface 50e is connected to a keyboard 50i, a mouse, etc. that receive operation instructions and the like from a system administrator and the like. A display 50j (display output device) is connected to the output interface 50f, and the contents associated with the processing of the MPU 50a are output to the display 50j so that the system administrator or the like can check the current processing contents. ..

The storage unit 50g stores a database, a program, a table, and the like. Specifically, the member database 60 is stored as a database, the server program P10 and the model transformation program P11 are stored as programs, and the table is used. Stores the human body model table 70, the point table 80, the model numerical table 85, and the like. In order to install the model transformation program P11 in the storage unit 10g, it is conceivable to store the model transformation program P11 in a storage medium such as an optical disk and install it in the storage unit 50g through the storage medium.

FIG. 8 shows an example of the contents of the member database 60 stored in the storage unit 50 g, and shows the member's name, nickname, email address, and daily data (body composition analyzer 10 and) for each user ID as a user column. Numerical values indicating the respective measurement results of the three-dimensional measuring instrument 20 and data indicating the human body model obtained based on the measurement results are stored (note that although not shown in FIG. 8, the member database 60 includes others. , Gender, password, etc. are also stored). The user column of the member database 60 is increased by the member registration of a new user, and when the member user withdraws from the membership, the user column of that user is deleted, and each time each user makes a measurement, The data of the measurement date will be stored in the measurement data column, and the contents of the member database 60 will be updated at any time due to these factors.

The server program P1 in the program P1 stored in the storage unit 50g defines various processes according to the operating system for the server computer, and the MPU 50a performs the processes based on the specified contents, so that the human body The model providing system 50 fulfills each function as a server computer (server device).

In addition, the model transformation program P11 defines each of the main processes related to the present invention, and includes processing related to member authentication, processing for generating a human body model according to the measurement result, processing for distributing the generated human body model, and the like. , MPU50a stipulates that it is performed as various means. The details of the model transformation program P11 will be described later, and each table (human body model table 70, point table 80, model numerical table 85) will be described first.

FIG. 9 shows a part of the contents of the human body model table 70, and FIG. 9 shows the range of the human body model for men (details of the human body model for women will be described later). In the present invention, in providing a human body model according to the measurement result of the subject H, a human body model as a base is prepared instead of generating the human body model from scratch, and the prepared human body model is used as the subject H. A human body model according to the physique and physique of the subject is provided by appropriately deforming or the like according to the measurement result. The human body model table 70 stores the data of the human body model prepared in advance for each gender, specifies the gender of the logged-in user (subject) from the member data table 60, and determines which model data of the gender is used in the MPU 50a. Judges. The human body model of the present embodiment is configured to include a skeletal model, a muscle model, and a fat model to enable anatomical display.

The contents of the human body model table 70 will be described by taking a male human body model as an example. First, the human body model table 70 includes three types of models, a skeleton model 71, a muscle model 72, and a fat model 73, which constitute the human body model. Including, for each model, the ratio of the length dimension of the limbs to the height statistically (the ratio of the sleeve length, the ratio of the inseam) is the standard standard pattern 70a, and the dimensions of the limbs (the dimensions of the limbs) with respect to the standard pattern 70a. ) Is about 95% shorter than the first pattern 70b, and the standard patternle 70a is about 105% longer than the standard pattern (limb size), which is a second pattern 70c.

The skeleton model 71 is a model showing a skeleton, and is a standard skeleton model 71a corresponding to the standard pattern 70a, a first skeleton model 71b corresponding to the first pattern 70b, and a second skeleton corresponding to the second pattern 70c. Includes model 71c. Further, the muscle model 72 also has a standard muscle model 72a corresponding to the standard pattern 70a, a first muscle model 72b corresponding to the first pattern 70b, and a second muscle model 72 according to the second pattern 70c, similarly to the skeletal model 71. The fat model 73 also includes a standard fat model 73a according to the standard pattern 70a, a first fat model 73b according to the first pattern 70b, and a second fat according to the second pattern 70c. Includes model 73c.

Each of these skeletal model 71, muscle model 72, and fat model 73 is a set that is combined by pattern as a human body model. That is, as the standard pattern 70a, the standard skeleton model 71a, the muscle model 72a, and the fat model 73a are associated with each other to form one set (combination), and similarly, the first pattern 70b is the first. The skeletal model 71b, the muscle model 72b, and the fat model 73b are associated with each other to form a set, and the second skeletal model 71c, the muscle model 72c, and the fat model 73c are associated with each other as the second pattern 70c. It is a set.

Further, each of these skeletal model 71, muscle model 72, and fat model 73 is formed so as to be capable of three-dimensional display, and each model is similar to the model shown in the 3D human body dissection application according to Non-Patent Document 1 described above. By performing an operation of rotating (for example, a swipe operation), each model can be confirmed from a desired angle, and the required part of each model can be enlarged or reduced by the required operation (for example, a pinch device). ing.

Further, each of these skeletal model 71, muscle model 72, and fat model 73 is formed with a texture that is deformable in shape. For example, the skeleton model 71 (standard skeleton model 71a, first skeleton model 71b, second skeleton model 71c) representing the skeleton of the human body can be deformed to expand or contract in a similar manner and has a skeleton. Even at the level of multiple bones that make up the skeleton, it is possible to expand or contract the length dimension, change the angle of the skeleton around the joints, etc., and thereby partially deform the skeleton. It has become. Each of these skeletal model 71, muscle model 72, and fat model 73 has numerical values corresponding to their physiques, and these numerical values are shown for each model in the model numerical table 85.

Further, the muscle model 72 (standard muscle model 72a, first muscle model 72b, second muscle model 72c) representing the muscles of the human body is the above-mentioned skeletal model (standard skeletal model 71a, first skeletal model 71b). , The second skeleton model 71c) is formed in a form having muscles (muscle textures) covering the texture surface, and has a red or pink hue. The muscle model 72 is also deformable in shape, but there are two types of deformation, one is when the skeleton model 71 is deformed following the above-mentioned deformation, and the other is when the muscle model is deformed independently. There is a way to do it.

That is, the muscle of the muscle model 72 is formed by a sheet-like texture having a certain thickness representing the muscle, and when the skeleton model 71 expands or contracts in a similar manner as described above, it follows such deformation. As such, the texture of the muscle is designed to expand and contract to expand or contract dimensionally. Further, when the skeleton model 71 is partially deformed such as dimensional enlargement or contraction or angle change as described above, the muscle model 72 follows such partial deformation and muscles. The texture of is made to expand and contract. The muscle model 72 of the present embodiment has a configuration in which the muscles of the face portion, the hand portion, and the toe portion are omitted.

Further, as shown in FIGS. 10 (a) and 10 (b), when the muscle model 72 is deformed independently, the specific region is a specific region (left arm, right arm, left leg, right leg, and trunk). It is possible to deform the muscle portion (thickness of the muscle texture) to be thicker or thinner according to the degree according to the level determined by the measurement result (FIG. 10 (a)). Shows an example in which the muscle of the left arm becomes thicker, and FIG. 10B shows an example in which the muscle of the left arm becomes thinner). Since the muscle model 72 is formed with a texture having a certain thickness, when the thickness dimension is reduced, the muscle model 72 is deformed so as to reduce the thickness of the texture, so that the muscle model 72 is deformed so as to erode the skeleton model. Can't happen.

Further, the fat model 73 (standard fat model 73a, first fat model 73b, second fat model 73c) representing the fat of the human body is the muscle model 72 (standard muscle model 72a, first muscle model) described above. It is formed in a form having fat (fat texture) covering 72b, the second muscle model 72c), and is attached to the texture surface with a yellow or ocher color as a reference color. The fat model 73 can also be deformed in shape, but the method of deformation is the same as in the case of the muscle model 72, in the case of deforming following the above-mentioned deformation of the muscle model 72, or in the case of the fat model alone. There are two ways of transforming when transforming.

The fat of the fat model 73 is also formed by a sheet-like texture having a predetermined thickness indicating the fat, but the thickness itself is thinner than that of the muscle model 72. When the muscle model 72 is deformed to expand or contract in a similar manner following the skeletal model 71 as described above, the fat model 73 is such that the texture of the fat is deformed to follow such deformation. It is built in. Further, when the thickness dimension of the specific part (any of the limbs or the trunk) of the muscle model 72 is deformed to be thick or thin, the fat model 73 also has the fat part corresponding to the deformed specific part of the muscle model 72. The fat texture stretches and deforms so that it deforms thicker or thinner to follow. The fat model 73 of the present embodiment has a configuration in which the muscles of the face portion, the hand portion, and the toe portion are omitted.

Further, as shown in FIG. 11, when the fat model 73 is deformed independently, the thickness of the fat portion of the specific portion is in units of the specific portion (left arm, right arm, left leg, right leg, and trunk). It is possible to deform the dimensions to be thicker according to the determined level. Further, when the fat model 73 is deformed to increase the thickness of the specific portion, the tint of the surface portion of the thickened specific portion (the shade of the reference color) is gradually darkened according to the degree of thickening. As such, the texture of the fat model 73 is built in. The fat of the fat model 73 is arranged so as to be in close contact with and cover the surface of the muscle model 72, so that the shape of the muscle of the muscle model 72 can be easily reflected in the fat.

On the other hand, thinning the fat portion of a specific portion of the fat model 73 according to the determined level is as shown in FIG. 12, since the fat model 73 is formed with a thin texture as described above. It can be made thinner only in stages, and making it thinner in more stages makes the surface color of the specific part of the target lighter (the color of the standard color), and it is the target to indicate the level of further thinning. The transparency of the fat part of the specific part is gradually increased. For example, if the judgment level for subcutaneous fat is "-1", which is smaller than the standard "0", the size of the fat part of a specific part is reduced by one step, and the surface color of the fat part is reduced. Is one step lighter than the standard color (the surface color in the case of "0"), and if the judgment level is "-2", the surface color of the fat part of the specific part is further lightened by one step to make the judgment level. If is "-3", the fat part of the specific part becomes translucent, and if the judgment level is "-4", the transparency (transparency) of the fat part of the specific part is increased to make the fat model. The texture is created so that the muscles of the muscle model that is the lower layer can be seen.

FIG. 13 shows an outline of similar enlargement or contraction deformations of the above-mentioned human body models (skeleton model 71, muscle model 72, fat model 73). First, a skeletal model according to the skeleton in the human body model. When the 71 (for example, the standard skeleton model 71a) is enlarged or reduced based on the measurement result (for example, the measurement size according to the height) related to the physique of the subject H, it is associated with the skeleton model 71 and becomes a set. The muscle model (eg, standard muscle model 72a) follows the deformation of the skeletal model 71 (standard skeletal model 71a) and similarly expands or contracts. Further, following the deformation of the muscle model 72 (standard muscle model 72a), the fat model 73 (for example, the standard fat model 73a) is similarly expanded or contracted. Such follow-up deformation between each model is possible by enlarging or reducing at the same rate.

For example, the skeletal model 71 (eg, the standard skeletal model 71a) has a dimension of 170.58 cm as a height representing its physique (see the model numerical table of FIG. 16), while the measurement result of the subject H shows the subject. If the height of the skeleton is about 179.1 cm, the entire skeleton model 71 will be enlarged and deformed in a similar manner by 1.05 times (179.1 / 170.58) according to the measurement result of the subject. , The muscle model 72 (for example, the standard muscle model 72a) and the fat model 73 (for example, the standard fat model 73a) are also subjected to the processing of enlarging the whole by 1.05 times, so that the following enlargement deformation is performed. I have to. Further, when the skeletal model 71 (for example, the standard skeletal model 71a) is reduced and deformed in a similar manner by 0.95 times according to the measurement result of the subject, the muscle model 72 (for example, the standard muscle model 72a) is used. And the fat model 73 (for example, the standard fat model 73a) is also subjected to a process of reducing the whole by 0.95 times, so that the following reduction deformation is performed.

Also, to allow the skeletal model 71 showing the skeleton to undergo deformations that partially expand or contract in size, and to follow such deformations, the muscle model 72 showing the muscles and the fat showing the fat. In order to enable the model 73 to be deformed, each model is provided with a plurality of points (deformation base points) serving as base points for deformation.

14 (a) to 14 (c) show schematic representative examples of a plurality of deformation base points in each model. First, FIG. 14A shows deformation base points P1 to P14 showing a part of a plurality of deformation base points in the standard skeleton model 71a. The deformation base point P1 is the apex of the head, and hereinafter, the deformation base point P2 is the right shoulder, the deformation base point P3 is the left shoulder, the deformation base point P4 is the right elbow, the deformation base point P5 is the left elbow, and the deformation base point P6 is the tip of the right hand (third finger Joint), deformation base point P7 is the tip of the left hand (third joint of the middle finger), deformation base point P8 is the spine at the center of the waist, deformation base point P9 is the right pelvis, deformation base point P10 is the left pelvis, deformation base point P11 is the right knee, deformation base point P12 Is the left knee, the deformation base point P13 is the tip of the right foot, and the deformation base point P14 is the tip of the left foot. Each of these deformation base points P1 to P14 has coordinate values in the XYZ coordinate system. It should be noted that each deformation base point P1 to P14 is a typical example of the deformation base point, and in reality, there are a little more points (see the point table 80 in FIG. 15).

Further, FIG. 14 (b) shows a plurality of deformation base points P1'to P14' in the standard muscle model 72a associated with the standard skeleton model 71a shown in FIG. 14 (a), and these deformation base points P1'to P14'is a point corresponding to the deformation base points P1 to P14 of the standard skeleton model 71a of FIG. 14 (a). Since the muscle model 72 of the present embodiment has a configuration in which the muscles of the face portion, the hand portion, and the toe portion are omitted, the muscles corresponding to the face portion, the hand portion, and the toe portion shown in the figure are omitted. The deformation base points P1', P6', P7', P13', and P14' in the model 72 are virtual deformation base points.

Further, FIG. 14 (c) shows a plurality of deformation base points P1 ″ to the standard fat model 73a associated with the standard skeletal model 71a shown in FIG. 14 (a) and the standard muscle model 72a of FIG. 14 (b). P14 ″ is shown, and these deformation base points P1 ″ to P14 ″ are deformation base points P1 to P14 of the standard skeletal model 71a of FIG. 14 (a) and deformation base points P1 ′ of the standard muscle model 72a of FIG. 14 (b). It is a point corresponding to ~ P14'. Since the fat model 73 of the present embodiment has a configuration in which the muscles of the face portion, the hand portion, and the toe portion are omitted, the fat corresponding to the face portion, the hand portion, and the toe portion shown in the figure is omitted. The deformation base points P1 ″, P6 ″, P7 ″, P13 ″, and P14 ″ in the model 73 are virtual deformation base points.

As an example of partial deformation in the standard skeletal model 71a shown in FIG. 14 (a), the deformation base point P2 of the right shoulder is (X, Y, Z) = (X, Y, Z) = (in the XYZ coordinate system, depending on the measurement result of the subject. It is assumed that the situation is deformed so as to move by the coordinate distance of 3, 4, 4). When such partial deformation occurs in the standard skeletal model 71a, the deformation base point P2'of the right shoulder of the standard muscle model 72a corresponding to the deformation base point P2 of the right shoulder and the right shoulder of the standard fat model 73a. Similarly, the coordinate value of the deformation base point P2 ″ of is also deformed so as to move by the coordinate distance of (X, Y, Z) = (3, 4, 4), thereby partially transforming the skeleton model 71a. In addition, when such a partial deformation process is performed, the texture around the deformation base point freely expands and contracts according to the deformation (enlargement or reduction). It is made like this.

Further, the follow-up deformation of the standard fat model when the standard muscle model 72a of FIG. 14B is partially deformed is also performed in the same manner as described above. For example, as an example of partial deformation in the standard fat model 72a, the deformation base point P8'corresponding to the spine at the center of the waist is (X, Y, Z) = (X, Y, Z) = (in the XYZ coordinate system, depending on the measurement result of the subject. It is assumed that the model is deformed so as to move by the coordinate distance of 0, 0, 6). When such a partial deformation occurs in the standard muscle model 72a, the coordinate values of the deformation base point P8 ″ of the standard fat model 73a corresponding to the deformation base point P8'are also (X, Y, Z). By deforming so as to move by the coordinate distance of = (0, 0, 6), follow-up deformation can be performed even for partial deformation processing in the muscle model 72a.

In the above description of the deformation, the case of the standard human body model (standard skeletal model 71a, muscle model 72a, fat model 73a) has been described, but the first human body model (first skeletal model 71b, muscle model) has been described. 72b, fat model 73b) and the second human body model (second skeletal model 71c, muscle model 72c, fat model 73c) can also perform similar processing related to deformation.

FIG. 15 shows an example of the contents of the point table 80 stored in the storage unit 50 g of FIG. 7. The point table 80 shows the correspondence between the deformation base point of the skeleton model 71 and the number of each point included in the measurement result of the subject's three-dimensional measuring device 20. That is, since the points on the surface of the skin of the subject H measured by the coordinate measuring device 20 reach about 30,000 points, the skeleton model 71 is deformed when the skeleton model 71 is deformed according to the measurement result of the subject H. Since it is necessary to specify which of the approximately 30,000 points the base point should be moved toward, the point table 80 defines an association for such identification. As the deformation base point defined in the point table 80, a place where the bone is stretched even from above the skin (a place where the skin covers the bone without basically covering the muscle and fat) is selected. As a result, the measurement result of the subject H is less affected by muscles and fats even on the surface of the skin so that it can correspond to the skeletal model.

For example, the point table 80 defines that the head coordinate as the deformation base point of the skeleton model 71 corresponds to the 3225th point in the measurement result of the coordinate measuring device 20, and in this case, the skeleton model 71 The XYZ coordinate values of the head apex correspond to the XYZ coordinate values of the 3225th point (corresponding to the corresponding points), and if there is a discrepancy between the two, the head apex of the skeleton model 71 by the amount of the misaligned coordinate value. Is moved to the 3225th point.

Further, the measurement result points (XYZ coordinate values) associated with the deformation base points (XYZ coordinate values) of the skeleton model 71 may be associated with a plurality of points in addition to one case. In such a case. Is a point having an average value of XYZ coordinate values of a plurality of points as a corresponding point, and the XYZ coordinate value (numerical value indicating a three-dimensional position) of the corresponding point is associated with the XYZ coordinate value of the deformation base point. Will be.

For example, the right shoulder as the deformation base point is the 10166th point when viewed from the right (view in the YZ plane), and the 2055th point when viewed from the front (view in the XY plane). It is associated with a total of three points, the 14829th point when viewed from the rear (viewed on the XY plane). Then, in this case, the MPU 50a calculates the numerical values of the average XYZ coordinate values of the 10166th point, the 2055th point, and the 14829th point, and the point having the calculated average XYZ coordinate values is specified as the corresponding point. At the same time, the average XYZ coordinate value of the corresponding point corresponds to the XYZ coordinate value of the deformation base point of the right shoulder, and if there is a deviation between the two, the deformation base point of the right shoulder is moved toward the corresponding point so as to match. The MPU 50a performs the processing.

Further, FIG. 16 shows an example of the contents of the model numerical value table 85 stored in the storage unit 50 g of FIG. 7. The model numerical value table 85 stores numerical values corresponding to each part of each human body model (skeletal model, muscle model, fat model of each pattern for men and women) stored in the human body model table 70 shown in FIG. In FIG. 16, the range in which the numerical values corresponding to each part of the human body model corresponding to the male standard pattern 70a are stored is shown. Although not shown in FIG. 16, the model numerical table 85 also includes numerical values corresponding to the first pattern 70b and the second pattern 70c for men and numerical values corresponding to each pattern for women.

Each numerical value stored in the model numerical value table 85 is an average value for each pattern based on statistically obtained numerical values, and was obtained from an average height numerical value, an inseam numerical value, an arm length numerical value, and the like. The inseam ratio (the ratio of the average length of the left and right legs to the height), the sleeve length ratio (the ratio of the average length of the left and right arms to the height), etc. are stored, and these values are the values of the model according to the subject H. It is used when the pattern is specified from the patterns 70a to 70c, and when the degree of enlargement or reduction of the model of the specified pattern is specified.

Next, the model transformation program 11 stored in the storage unit 50g will be described. Specific programming contents of the model transformation program P11 include a process related to member authentication, a process of providing a human body model according to a measurement result, and the like.

When the human body model providing system 50 (MPU50a) receives the inquiry information related to the member authentication including the user ID and the password from the measurement processing device 30 as the process related to the member authentication, the user ID and the password included in the received inquiry information become the member. It is determined whether or not it is included in the database 60. Then, when the user ID and password are included in the member database 60, the MPU 50a performs a process of returning a reply to the effect of registration to the measurement processing device 30, and if not included, the fact that the user ID and password are not registered (non-registration). The process of returning the reply of (the fact that the member is a member) to the measurement processing device 30 is performed.

When the measurement result (information related to the measurement result) including the user ID sent from the measurement processing device 30 is received, the measurement data column of the member database 60 is associated with the user ID included in the reception. Then, the measurement result is stored together with the reception date and time (or measurement date and time).

FIG. 17 shows that, among the processes defined by the model transformation program P11, as the main process of the present invention, the human body model stored in the human body model table 70 is transformed in order to provide the human body model according to the assumed result. It is a flowchart which shows the process. According to this flowchart (which shows the contents of the human body model transformation method), the MPU 50a performs a series of processes for transforming the human body model according to the measurement result of the subject H. In the present embodiment, the human body model according to the measurement result of the subject H is not generated from scratch, but the human body model of each pattern stored in the above-mentioned human body model table 70 (see FIG. 9) is used. By generating (generating by transforming the stored human body model), it is possible to smoothly provide a human body model according to the subject. The process by the MPU 50a shown in the flowchart of FIG. 17 is started in response to the acquisition of the measurement result sent from the measurement processing device 30 by the human body model providing system 50.

At the first stage of S1, based on the measurement result from the measurement processing device 30, the standard pattern 70a of the human body model table 70 of FIG. 9, the first pattern 70b with short limbs, and the second pattern 70c with long limbs are selected. The MPU 50a performs a process of specifying which one to use. Specifically, the measurement result sent from the measurement processing device 30 includes the physique of the subject H such as the height of the subject H, the length of the left arm, the length of the right arm, the length of the left leg, and the length of the right leg. Since the indicated dimensional values are included, the sleeve length ratio and inseam ratio of subject H are calculated from these dimensional values (the ratio related to the limb dimensions is calculated), and the calculated values are compared with the model of FIG. The MPU 50a specifies the closest one among the sleeve length ratio and the inseam ratio of the same surname stored in the numerical table 85, and specifies the pattern corresponding to the specified sleeve length ratio and the inseam ratio as the pattern of the subject H.

At the next stage of S2, the human body model (a set of skeletal model, muscle model and fat model) corresponding to the specified pattern is shown in the measured height dimension (measured height) of the subject H as shown in FIG. The MPU50a performs a process of similarly expanding or contracting according to the measurement result relating to the physique).

For example, the height of the male subject H is 177.4 cm, and when the male standard pattern is specified at the stage of S1, the height of the standard pattern is 170.58 cm with reference to the model numerical table 85 of FIG. Therefore, in this case, the calculation of 177.4 / 170.58 is performed to obtain a ratio of about 1.04. As a result, the MPU 50a resembles the human body model (skeletal model, muscle model, and fat model) of the male standard pattern 70a stored in the human body model table 70 by about 1.04 times as shown in FIG. Expand to. Further, when the height of the male subject H is 165.5 cm and the standard pattern is specified at the stage of S1, the calculation of 165.5 / 170.58 is performed to obtain a ratio of about 0.97. .. As a result, the MPU 50a similarly reduces the human body model of the male standard pattern 70a stored in the human body model table 70 by about 0.97 times, as shown in FIG.

Then, at the stage of S3, the MPU 50a performs a process of partially deforming the skeleton model 71 (for example, the standard skeleton model 71a) in the human body model that is similarly enlarged or reduced. This partial deformation is a measurement obtained by acquiring the XYZ coordinate values of the points (corresponding points) of the numbers corresponding to the plurality of deformation base points (for example, the deformation base points of the standard skeleton model 71) included in the point table 80 of FIG. The skeleton model 71 is partially deformed by specifying from the results and moving the point to the measured XYZ coordinate value of the specified number so that the XYZ coordinate values of the deformation base points match.

18 (a) and 18 (b) show an example of the process of partially deforming the skeleton model 71 (for example, the standard skeleton model 71a). The change base point P20 (indicated by a black circle in the figure) of the left pelvis of the pelvis of the skeleton model 71 (corresponding to the deformation bone capable of deforming the polygon shape) is the point p1 of the specific number corresponding to the change base point (FIG. It is indicated by a white circle in the middle. It is moved to the corresponding point specified from the point table 80 in FIG. 15, and by the movement, the texture portion B1 of the left pelvis near the change base point P20 (enclosed by a broken line in FIG. 18 (b)). The skeleton model 71 is partially deformed by extending.

Further, FIGS. 19A to 19C show the bone portion H1 including the deformation base point P30 (deformation base point P30 of the left elbow) in the skeleton model 71 (for example, the standard skeleton model 71a) (in FIG. 19 the upper left arm). After changing the angle of the bone part H1 (corresponding to the bone for deformation) around the joint C1 (left shoulder joint C1 in FIG. 19) that is closest to the center side of the body, the length dimension is extended. An example of partial deformation is shown.

That is, as shown in FIGS. 19A to 19C, the deformation base point P30 of the left elbow (indicated by a black circle in the figure) is a point p2 of a specific number to be moved (indicated by a white circle in the figure). Since the deviation in the three-dimensional direction is large with respect to the corresponding point specified from the point table 80 of 15, the XYZ coordinate value of the deformation base point P30 is the specific number in the state shown in FIG. 19 (a). When the bone portion H1 of the upper arm is deformed so as to match the XYZ coordinate value of the point p2, the upper arm bone portion H1 is stretched in an unnaturally bent state. Therefore, in order to prevent such a problem, FIG. 19B is shown. As described above, the angle of the bone portion H1 of the upper arm is rotated around the joint C1 which is closest to the center side of the body of the deformation base point P30.

In order to perform angular rotation, first, as shown in FIG. 19A, a virtual line K1 connecting the deformation base point P30 of the epiphysis of the bone portion H1 of the upper arm and the center of the nearest left shoulder joint C1 is formed. Find the vector. Next, the direction of the vector of the virtual straight line K10 from the center of the shoulder joint C1 toward the point p2 of the specific number (corresponding to the direction from the center of the shoulder joint C1 toward the point p2) is specified. Then, the bone portion H1 of the upper left arm is rotated around the shoulder joint C1 so that the virtual line K1 overlaps with the virtual straight line K10 and the direction is the same, and the angle of the bone portion H1 with respect to the shoulder joint C1 is changed. To do.

When the angle is changed as shown in FIG. 19 (a), the point p2 is located on the extension line of the virtual line S1 connecting the shoulder joint C1 and the change base point P30 as shown in FIGS. 19 (b) and 19 (c). , The three-dimensional misalignment is eliminated. After that, as in the case of FIG. 18 described above, the length of the bone portion H1 in the state where the angle is changed is extended so that the change base point P30 coincides with the corresponding point p2. Transforms into. The description of the stage of S3 described above has been described for the skeleton model 71 in the case of deformation in which the length is partially extended, based on FIGS. 18 and 19, but the same applies to the case where the length is reduced. In the deformation of moving the deformation base point so as to match the point of the corresponding point, both are processed in the same manner.

Then, in the stage S4 in the flowchart shown in FIG. 17, a muscle model that follows the deformation of the skeleton model 71 (for example, the standard skeleton model 71a) in the stage S3 described above and is combined as a set of the skeleton model 71. The MPU 50a performs a process of transforming the 72 (eg, standard muscle model 72a) and the fat model 73 (eg, standard fat model 73a). Specifically, at the stage of S3, each corresponding deformation base point (see FIG. 14) in the muscle model 72 and the fat model 73 is set by the numerical value of the XYZ coordinate value obtained by moving each deformation base point of the skeleton model 71. Perform the process of moving. By performing the processing in the step of S4, the basic shapes of the muscle model 72 and the fat model 73 follow the shape of the subject's own skeleton.

At the stage S5 of the flowchart, the muscle model 72 (for example, the standard muscle model 72a) is subjected to the level determined for the visceral fat of the trunk included in the measurement result (“-4” to “+4”. Based on (corresponding to the numerical value), the abdominal part is deformed so as to become thicker or thinner.

FIG. 20 shows an image in which the abdominal region of the standard muscle model 72a is thickly deformed according to the level of visceral fat (the human body model is viewed from the left in the YZ plane). In FIG. 20, by deforming the front line L1 showing the contour of the front side of the muscle model 72a so as to move back and forth in the thickness direction (direction parallel to the Z-axis direction), the abdominal portion becomes thicker or thinner.

Thickening the abdomen is when the judgment level value is larger than the standard "0", and thickening the abdomen of the muscle model 72a if the visceral fat level of the trunk is "+1". At a position where the dimension W (the length dimension in the Z-axis direction in the case of the standard "0") is about 1.03 times, the front line L1 is projected in the direction of the black arrow in the figure (the belly protrudes forward). It is curved and deformed so as to move in the direction). The line L10 shown by the alternate long and short dash line in FIG. 20 shows the contour of the front side of the muscle model 72a after being deformed so as to be thickened. If the level of visceral fat in the trunk is "+2", the front line L1 is curved and deformed to move in the direction of the black arrow in the figure at a position where the dimension W is about 1.06 times, and the level is "+2". If it is "+3", the front line L1 is curved and deformed to move in the direction of the black arrow to a position where the dimension W is about 1.09 times, and if the level is "+4", the dimension W is about 1.12 times. The front line L1 is curved and deformed to move in the direction of the black arrow at the position where.

In addition, the abdominal region is thinned when the level of visceral fat in the trunk is "-4" to "-1", which is smaller than the standard "0", depending on the abdominal region of the muscle model 72. Since the portion of the skeletal model 71 is just a hollow portion below the sternum and ribs, the abdominal portion of the muscle model 72 can be thinly deformed according to the determination level.

As for the degree of thinning, if the level of visceral fat in the trunk is "-1", the anterior line L1 is shown at a position where the dimension W of the abdominal part of the muscle model 72a is about 0.98 times. It is curved and deformed so that it moves in the direction of the white arrow inside (the direction in which the belly retracts). The line L20 shown by the alternate long and short dash line in FIG. 20 shows the contour of the front side of the muscle model 72a after being deformed so as to be thin. If the level of visceral fat in the trunk is "-2", the front line L1 is curved and deformed to move in the direction of the white arrow to a position where the dimension W is about 0.96 times, and the level is "-3". If ", the front line L1 is curved and deformed to move in the direction of the white arrow to a position where the dimension W is about 0.94 times, and if the level is" -4 ", the dimension W is about 0.92 times. The front line L1 is curved and deformed to move in the direction of the white arrow in the figure at the position where. When the visceral fat level is "0", the abdominal part of the muscle model 72 is not deformed.

Further, the magnifications used for thickening (1.03, 1.06, 1.09, 1.12) and the magnifications used for thinning (0.98, 0.96, 0.) in the above description. Each numerical value of 94, 0.92) is an example, and it is of course possible to apply other numerical values according to the specifications of the system, etc., and each numerical value mentioned above is used by default, and statistically. The default value may be changed at any time based on the numerical value (the same applies to each numerical value used in the transformation based on each judgment level described later).

Then, in the stage S6 of the flowchart, the muscle model 72 (for example, the standard muscle model 72a) is determined for the muscle mass of specific parts (left arm, right arm, left leg, right leg, and trunk) included in the measurement result. Based on the determined level (“-4” to “+4”, which corresponds to the numerical value related to muscle mass), a process of deforming the muscle part related to each specific part so as to become thicker or thinner is performed. The standard is when the level is "0", and the portion of "0" is not deformed at the stage of S6.

Specifically, as shown in FIG. 10A described above, when the determination level at the specific part (for example, the left arm) is “+1” to “+4”, which is larger than the standard “0”, the specific part The muscles of the upper arm and forearm are deformed so as to be thicker (the width w1 of the left arm is deformed to be larger. The width w1 indicates the dimension when "0"). In this case, if the judgment level is "+1", it is deformed to be thicker at about 1.05 times the width w1, and thereafter, if it is "+2", it is deformed to be thicker at about 1.1 times the width w1. If it is "+3", it is deformed to be thicker at about 1.15 times the width w1, and if it is "+4", it is deformed to be thicker at about 1.2 times the width w1.

On the other hand, when the judgment level is "-1" to "-4", which is smaller than the standard "0", the muscles of the upper arm and forearm of the specific part are thinned as shown in FIG. 10 (b). It deforms (so that the width w1 of the left arm becomes smaller). In this case, if the judgment level is "-1", it is deformed to be thinned by about 0.96 times the width w1, and thereafter, if it is "-2", it is thinned by about 0.92 times the width w1. If it is "-3", it is deformed to be thinned by about 0.88 times the width w1, and if it is "+4", it is deformed to be thinned by about 0.84 times the width w1. By the deformation processing of the muscle model 72 according to the steps S5 and S6 described above, a muscle model shape that reflects the actual muscle attachment of the subject H can be obtained.

Then, in the stage S7 of the flowchart, the fat model 73 (for example, the fat model 73 (for example) combined as a set of the muscle model 72 following the deformation of the muscle model 72 (for example, the standard muscle model 72a) in the stages S5 and S6 described above). For example, the MPU 50a performs a process of transforming the standard fat model 73a). Specifically, in accordance with the deformation of the abdominal part at the stage of S5, the abdominal part of the fat model 73 is also deformed following the deformation (the amount of movement of the XYZ coordinate values of the abdominal part of the muscle model is similarly fat. (Move and deform the corresponding part of the model 73), and further, at the stage of S6, move and deform each corresponding specific part of the fat model 73 by the numerical value of the XYZ coordinate value accompanying the deformation of the specific part of the muscle model 72. Perform processing. By performing the processing in the step of S7, the basic shape of the fat model 73 becomes a shape that follows the muscle attachment of the subject himself / herself.

In the flowchart shown in FIG. 17, the fat model 73 is subjected to deformation processing following the deformation of the skeletal model 71 at the stage of S4, and is subjected to deformation processing following the deformation of the muscle model 72 at the stage of S7. However, the follow-up deformation process of the fat model 73 at the stage of S4 is omitted, and the amount of deformation due to the deformation of the skeletal model 71 and the muscle model 72 up to that point is collectively reflected at the stage of S7. As described above, the follow-up deformation process may be performed at once.

At the stage S8 of the flowchart, the fat model 73 (for example, the standard muscle model 73a) is used for the fat mass (subcutaneous fat) of specific parts (left arm, right arm, left leg, right leg, and trunk) included in the measurement result. Based on the level determined for (amount) ("-4" to "+4", which corresponds to the numerical value related to the amount of fat), a process of deforming the fat part related to each specific part so as to become thicker or thinner is performed, or Performs a process that changes the surface quality of the fat part.

Specifically, as shown in FIG. 11 described above, when the determination level in the specific part (for example, the left arm) is "+1" to "+4" from the standard "0", the upper arm and forearm of the specific part It deforms so that the fat part becomes thicker. In this case, if the judgment level is "+1", it is deformed thickly so as to have a width w10, and thereafter, if it is "+2", it is deformed thickly so as to have a width w11 (w11> w10), and at "+3". If there is, it is deformed thickly so as to have a width w12 (w12> w11), and if it is "+4", it is deformed thickly so as to have a width w13 (w13> w12).

Further, a process of coloring the surface of the thickened portion so that the color tone becomes darker than the reference color in the case of "0" is also performed. The case of "+4" is the darkest with respect to the standard color, the case of "+3" is the second darkest, the case of "+2" is the third darkest, and the case of "+1" is the fourth. The fat model 73 is an element for distinguishing how fat is attached even if the color is deep and the difference in color is different.

Further, as shown in FIG. 12, when the determination level in the specific part (for example, the left arm) is "-1", the thickness of the fat part in the specific part is increased in one step (for example, 0.97 times the ratio). Along with performing a thinning process, a process of making the surface color of the fat portion lighter than in the case of "0" is performed. When the judgment level is "-2", the color of the surface portion (for example, the upper arm and forearm portion) corresponding to the specific part is changed to be lighter than in the case of "-1", and is changed to "-3". Then, the texture itself that forms the fat part of the specific part is changed so that it is slightly transparent (changes so that it becomes translucent), and when it becomes "-4", the transparency of the fat part is further increased. The muscle of the muscle model 72 covered with fat of the fat model 73 is changed so as to be seen through. By making such thinning deformation, changing color, and gradually changing so as to be transparent, it is possible to gradually express the level when the amount of fat is less than the standard, which was difficult to show in the past. ing.

Finally, in the stage S9 of the flowchart, the data showing the deformed human body model (deformed skeleton model 71, deformed muscle model 72, deformed fat model 73) through the above-mentioned processing was measured by the subject H who measured the data. The MPU 50a performs a process of storing the measurement data in the measurement data column of the member database 60 shown in FIG. 8 together with the date of the measurement date in association with the user ID.

The data indicating the human body model stored in the member database 60 can be read out and displayed on the communication terminal 3 by making a viewing request to the human body model providing system 50 using the communication terminal 3 shown in FIGS. 1 and 2. The process related to such reading is also included in the process defined by the model transformation program P11.

That is, when the user ID and password are sent from the communication terminal 3, the human body model providing system 50 performs a login process for data viewing, and the sent user ID and password are registered in the member database 60. If this is done, the user will be logged in, and the latest human body model data in the logged-in state will be read from the member database 60 and transmitted to the logged-in communication terminal 3. The login state of the communication terminal 3 is continued until the log-off operation is sent from the communication terminal 3.

It is assumed that the human body model viewing program capable of displaying the human body model is pre-installed in the communication terminal 3 described above, and the human body model data (human body model data) sent from the human body model providing system 50 by activating this human body model viewing program ( If the skeletal model data according to the skeleton, the muscle model data according to the muscle, and the fat model data according to the fat are received, the anatomical human body model should be displayed based on the received human body model data. Can be done.

The activated human body model browsing program includes a menu bar having an item related to display in one corner of the screen, and by performing a model switching operation in this menu bar, the display on the skeleton model 71 and the top of the skeleton model 71 are performed. It is possible to appropriately switch between the display in which the muscle model 72 is arranged and the display in which the fat model 73 is arranged on the muscle model 72 arranged in the skeleton model 71.

FIG. 21 shows a human body model of a skeletal state based on a skeletal model 71 (for example, a model obtained by modifying a standard skeletal model 71a according to the measurement result of subject H) generated by the communication terminal 3 based on the received human body model data. The state displayed on the display screen 3a of the communication terminal 3 is shown.

Further, FIG. 22 is a muscle model 72 generated by the communication terminal 3 based on the received human body model data (for example, a model in which the standard muscle model 72a is deformed according to the measurement result of the subject H), and the skeleton model 71 is used. The state in which the human body model arranged so as to cover is displayed on the display screen 3a of the communication terminal 3 is shown.

Further, FIG. 23 is a fat model 73 (for example, a model obtained by modifying a standard muscle model 72a according to the measurement result of the subject H) generated by the communication terminal 3 based on the received human body model data, and is a model of the skeletal model 71. The state in which the human body model arranged so as to cover the muscle model 72 arranged above is displayed on the display screen 3a of the communication terminal 3 is shown.

Subject H (user) can grasp the shape of his / her skeleton in the display state of FIG. 21 by appropriately switching the display state of FIGS. 21 to 23, and can learn how to attach muscles in the display state of FIG. 22. It can be confirmed, and further, how fat is attached can be anatomically confirmed in the display state of FIG. 23, and the effect of exercise or diet is shown in FIGS. 22 and 23, not from the appearance state of the body. There is a merit that can be confirmed by the muscle level or fat level inside the body.

Further, since the human body models shown in FIGS. 21 to 23 are three-dimensionally generated like the human body model of the conventional 3D human body dissection application (see, for example, Non-Patent Document 1) described above, the communication terminal 3 If is equipped with a display screen 3a capable of touch panel operation such as a tablet or a smartphone, it is possible to browse the human body model from a desired angle by swiping (note that a personal computer or the like can be used as the communication terminal 3). When using it, it is possible to change the angle of the human body model by using an operating device such as a mouse). Further, the human body model shown in FIGS. 21 to 23 can be appropriately enlarged or reduced by a pinch operation of the display screen 3a (when a personal computer or the like is used as the communication terminal 3, the human body model can be enlarged or reduced by using an operating device such as a mouse. Allows enlargement or reduction operation)

In addition to the above-mentioned display of the human body model, the communication terminal 3 can also display the measured values of the body composition analyzer 10 and the coordinate measuring device 20, and the measured values sent from the human body model providing system 50. It is also possible to display each numerical value and each numerical value related to a plurality of measurement dates in a graph, and the graph display makes it possible to confirm changes over time.

In the above explanation, the explanation was basically based on the male human body model, but in the case of the female human body model, since the breast is present in the trunk, a fat model based on subcutaneous fat in the female trunk. The processing related to is basically the same except for the contents different from the case of the male human body model described above. The treatment of breast treatment based on subcutaneous fat in the trunk of a female fat model is described below.

FIG. 24 shows the fat model 76 for women in the human body model table 70. Similar to the human body model for men shown in FIG. 9, the fat model 76 for women also has a standard fat model 76a corresponding to the standard pattern 70a, a first fat model 76b corresponding to the first pattern 70b, and a second pattern. There is a second fat model 76c corresponding to 70c. Since breasts are present in the female trunk, the formation of breasts by subcutaneous fat in these female fat models 76 (fat models 76a to 76c for each pattern) was also found in the male fat model 73. On the other hand, it is the main difference in shape.

When a female subject is measured with a body composition analyzer 10, the amount of fat (amount of subcutaneous fat) in the trunk (body) includes the amount of breast, so the same treatment as for men described above is performed. Then, the subcutaneous fat of the breast is considered to be attached to the trunk, and the trunk is formed thicker than the actual female subject. In order to avoid the occurrence of such a situation, when the subject is a female, the MPU 50a performs a female-specific process in the deformation process of the fat model 76.

FIG. 25 shows a female fat reference table 90 that is referred to for performing a female-specific process, and such a female fat reference table 90 is also stored in the storage unit 50 g of the human body model providing system 50 shown in FIG. It will be. The cup value in the female fat reference table 90 means the dimensional difference between the chest circumference obtained from the measurement value (OBJ data) of the three-dimensional measuring device 20 and the underbust, and the average size of the female chest circumference according to statistics. Is 81.3 cm and the average size of the underbust is 70.4 cm, so that the average size of the cup value is 10.9 cm. In the present embodiment, the average size of the cup value of 10.9 cm is used to determine the distribution of the amount of fat in the trunk to the breast and parts other than the breast.

Specifically, as shown in the female fat reference table 90 of FIG. 25, the determination level is "+1" for the levels ("-4" to "+4") determined for the visceral fat of the trunk included in the measurement results. "Plus level" from "+4", "Standard level" with case law level "0", and "Minus level" from "-1" to "-4" judgment level (female fat) See the leftmost column of reference table 90). Each of these three levels is divided into three categories according to the cup value. When the cup value obtained by the measured value is less than 10.9 cm, it is "small", and the cup value is 10.9 cm or more 17 If it is less than .5 cm, it is classified as "medium", and if the cup value is 17.5 cm or more, it is classified as "large".

Then, if the measurement result relating to the subcutaneous fat of the trunk of the subject is "plus level" and the cup value is "small", the MPU 50a follows the female fat reference table 90, and the trunk of the fat model 76 is other than the breast. If the cup value is "medium" at "plus level", the body is deformed to thicken the whole trunk, and if the cup value is "large" at "plus level" , Performs a transformation that enlarges only the breast.

Further, if the measurement result relating to the subcutaneous fat of the trunk of the subject is "standard level" and the cup value is "small", the MPU 50a follows the female fat reference table 90, and for the trunk of the fat model 76, the breast. If the cup value is "medium" at the "standard level", the cup value is not performed at the "standard level" and the cup value is at the "standard level". If is "Large", the breast is deformed to be slightly larger and the part other than the breast is slightly thinner.

Further, if the measurement result relating to the subcutaneous fat of the trunk of the subject is "minus level" and the cup value is "small", the MPU 50a follows the female fat reference table 90, and for the trunk of the fat model 76, the breast. If the cup value is "medium" at "minus level", the whole trunk is thinned and "minus level" is performed without any particular deformation except for the breast. If the cup value is "Large", the breast is not deformed, but the part other than the breast is thinned.

In addition, at the above-mentioned "plus level", "standard level", and "minus level", the calculation formula for calculating the deformation rate when deforming the breast and the deformation rate when deforming a part other than the breast in the trunk. The formula for calculating is also specified in the female fat reference table 90. For example, in the "plus level", the deformation rate of the breast is calculated from the formula A, and the deformation rate of the trunk other than the breast is calculated from the formula E. Formula A is (cup value / 10.9) x (judgment level value / 4) x 100, and formula E is (10.9 / cup value) x (judgment level value / 4) x 100.

When the cup values of the "standard level" are "medium" and "large", the deformation rate of the breast is calculated from the formula B, and the deformation rate of the trunk other than the breast is calculated from the formula F. Formula B is (cup value / 10.9) x 0.1 x 100, and formula F is 227 (value related to the original texture formation, alpha value) x (10.9 / cup value) (decimal number). Rounded below). Further, when the cup value of the "standard level" is "small", the deformation rate of the breast is calculated from the formula C, and the deformation rate of the trunk other than the breast is calculated from the formula G. The formula C is (1- (cup value / 10.9)) × 0.1 × 100, and the formula G is (10.9 / cup value) × 0.1 × 100.

Further, at the "minus level", the deformation rate of the breast is calculated from the formula D, and the deformation rate of the trunk other than the breast is calculated from the formula H. Formula D is (10.9 / cup value) x (judgment level value x (-1) / 4) x 100, and formula H is 227 (value related to original texture formation, alpha value) x (10. 9 / cup value) x (1- (judgment level value x (-1) / 4) (rounded to the nearest whole number). The contents of the above-mentioned female fat reference table 90 and the contents of the above-mentioned formulas A to H, etc. Is an example, and it is of course possible to change the contents as appropriate according to the system specifications, changes in statistical values, and the like.

As described above, the human body model providing system 50 according to the present invention provides a human body model having a shape corresponding to the measurement result of the subject H so that it can be anatomically confirmed. Therefore, how to attach muscles or how to attach fat, etc. Can be visually confirmed by the subject, and the change in muscle mass due to strength training, etc., or the decrease in fat mass due to diet exercise, etc. can be grasped in detail, which is useful for raising awareness of continuing various training and exercise, etc. Be done.

The present invention is not limited to the above-described embodiment, and various modifications can be considered. For example, in the above description, the values of "-4" to "+4" indicating the determination level are obtained by the measurement processing device 30 based on the measurement result from the body composition analyzer 10, but the body composition analyzer 10 itself is used. If the level can be determined, the processing load of the measurement processing device 30 may be reduced by determining the determination level with the body composition analyzer 10. Further, the level determination process can be performed by the human body model providing system 50 instead of being performed by the measurement processing device 30, and in this case, the measurement processing device 30 calculates the calculation result from the body composition analyzer 10. , It is transmitted to the human body model providing system 50 as it is, and the human body model providing system 50 determines the level from the received calculation result.

Also, the judgment level stage is not limited to "-4" to "+4", and when simplifying the specifications, it is such as "-3" to "+3" or "-2" to "+2". The steps may be rough, while when the specifications are refined, the steps may be finer, such as "-5" to "+5" or "-6" to "+6". When changing the above, the stage of deforming the muscle model 72, the fat model 73, and the like is also roughened or finely divided according to the changed stage.

Further, as shown in FIG. 13, the degree of expansion or contraction in a similar manner is set according to the ratio of the length dimension of the limbs to the height (sleeve length ratio, inseam ratio), but the sleeve length or inseam. The ratio of to the length from the joint to the foot under the neck, which is obtained by subtracting the length of the face from the height, may be used instead of the value to the height. That is, since the length of a person's face (dimensions along the Y-axis direction) is statistically different, the sleeve length or inseam ratio is calculated by excluding such a uneven part (human face). When calculated, it is preferable in that the physical condition can be expressed more accurately.

Further, in the above description, the body composition analyzer 10 and the coordinate measuring device 20 are linked to perform the measurement at the same time, but the body composition meter 10 and the coordinate measuring device 20 each measure independently. , And these measurement results may be transmitted to the human body model providing system 50. What is necessary in the present invention is that the human body model providing system 50 acquires the physical measurement result necessary for providing the human body model, and if the necessary measurement result can be obtained, the method of measuring the subject is , Any form may be used, and any measuring instrument may be used.

Further, when the system of the present invention is locally constructed, the measurement processing device 30 shown in FIG. 1 is provided with the function of the human body model providing system 50, and the measurement processing device 30 provides the above-mentioned human body model providing system 50. May be performed.

Furthermore, as a device for displaying the human body model on the communication terminal 3, the subject H in the measurement state as shown in FIG. 1 is imaged, and the captured image is superimposed on the human body model described above and displayed. Then, the relationship between the appearance of the subject H and the anatomical human body model inside the human body may be presented to the user. In this case, the captured image of the subject is displayed so as to be superimposed on the fat model so that the human body model is shown by changing the transmittance, or the captured image is used as a background and is placed on the captured image. , The skeleton model 71, the muscle model 72, and the fat model 73 may be arranged in this order.

Further, as an example of simplifying the specifications of the present invention, the skeleton model 71, the muscle model 72, and the fat model 73 do not use a three-dimensional model, but use a two-dimensional model to display an angle. The change function and the like may be omitted. When using such a two-dimensional model, prepare a skeleton model showing the skeleton, a muscle model showing the muscle, and a fat model showing the fat for each layer, and superimpose the muscle model on the skeleton model in layers. It is also possible to present a model in which the skeleton is covered with muscles, and further, by superimposing a fat model on the model in this state, a model in which the muscles are covered with fat can be presented. Further, in the case where the confirmation of fat is not required, the fat model may be omitted and the skeleton model 71 and the muscle model 72 may form the human body model.

Furthermore, in the above description, the whole body model is provided, but it is not necessary to provide the whole body model depending on the application, and a specific part (left arm, right arm, left leg, right leg, or body) is provided. If it is necessary to provide an anatomical human body model only for (one of the executives), perform the above-mentioned processing for the necessary part and provide the human body model for the necessary part (for example, only the left arm). It is also possible to make various specifications. The various modifications described above can be combined as appropriate.

Since the present invention provides an anatomical human body model composed of a skeletal model, a muscle model, and a fat model having a shape according to a measurement result of a subject, it is possible to visually observe how muscles are attached, how fat is attached, and the like. It can be suitably used for confirmation purposes.

1 Health management system 3 Communication terminal 3a Display screen 5 Human body measurement system 10 Body composition analyzer 20 Three-dimensional measuring device 30 Measurement processing device 35 Display device 50 Human body model providing system 50a MPU50a
60 Member Database 70 Human Body Model Table 71 (Men's) Skeletal Model 72 (Men's) Muscle Model 73 (Men's) Fat Model 76 (Women's) Fat Model 80 Point Table 85 Model Numeric Table 90 Women's Fat Reference Table P2 Three-dimensional measurement program P3 Composition measurement program P4 Measurement control program P11 Model transformation program

Claims (11)

In a human body model providing system that performs deformation processing of a human body model showing a physique based on the physical measurement results of a subject
A means of obtaining a captured image of a subject in a state of performing physical measurement,
A human body model providing system comprising a means for arranging the captured image on the human body model subjected to the deformation processing. The human body model providing system according to claim 1, further comprising means for changing the transmittance of an captured image arranged so as to be visible on the human body model. The human body model includes a skeleton model according to the skeleton.
The measurement result includes information indicating the physique of the subject.
Wherein based on the information indicating the size of the subject, said skeleton model to enlarge or reduce similar manner, the human body model providing system according to claim 1 or claim 2 obtain Bei means for performing deformation processing of the skeleton model .. The skeletal model includes a standard skeletal model, a first skeletal model in which the dimensions of the limbs are shorter than the standard skeletal model, and a second skeletal model in which the limbs are longer than the standard skeletal model. There is a skeletal model,
The measurement result includes information indicating the physique of the subject.
A means for identifying any one of the standard skeleton model, the first skeleton model, and the second skeleton model based on the information indicating the physique of the subject is provided.
The human body model providing system according to claim 3 , wherein the deformation processing is performed on the specified skeleton model. The human body model includes a muscle model corresponding to the muscle covering the skeletal model.
The human body model providing system according to claim 3 or 4, further comprising means for deforming the muscle model in accordance with the deformation when the deformation processing related to the skeleton model is performed. The human body model includes a fat model depending on the fat covering the muscle model.
The human body model providing system according to claim 5, further comprising means for deforming the fat model in accordance with the deformation of the muscle model when the muscle model is deformed. The measurement result includes a plurality of points having information on the position of each part of the subject.
The human body model includes a skeleton model according to the skeleton.
The skeleton model has a plurality of deformation base points depending on the position of each part of the skeleton.
A means for identifying a corresponding point corresponding to each of the plurality of deformation base points from the plurality of points included in the measurement result, and
When there is a deviation between the deformation base point and the corresponding point corresponding to the deformation base point, the deformation base point in the skeleton model is set so that the deformation base point matches the corresponding point corresponding to the deformation base point. The human body model providing system according to any one of claims 1 to 6, further comprising a means for performing deformation processing of the including bone portion. The measurement result includes a plurality of points having information on the position of each part of the subject.
The human body model includes a skeleton model according to the skeleton.
The skeleton model has a plurality of deformation base points depending on the position of each part of the skeleton.
A means for identifying a corresponding point corresponding to each of the plurality of deformation base points from the plurality of points included in the measurement result, and
When there is a deviation between the deformation base point and the corresponding point corresponding to the deformation base point, the joint that is closest to the center side of the body from the deformation base point in the skeleton model heads toward the corresponding corresponding point. Means to identify the direction and
A means for changing the angle of the bone portion around the joint so that the bone portion connected to the joint including the deformation base point in the skeleton model has the same direction as the specified direction.
A means for performing deformation processing of the bone portion so that the deformation base point of the bone portion whose angle has been changed coincides with a corresponding point corresponding to the deformation base point.
The human body model providing system according to any one of claims 1 to 6. In the human body model deformation method in which the human body model processing device performs deformation processing of the human body model showing the physique based on the physical measurement result of the subject.
Steps to obtain a captured image of the subject in a state of performing physical measurement,
A method for deforming a human body model, which comprises a step of superimposing the captured image on the human body model that has undergone the deformation processing . In a computer program for causing a computer to perform deformation processing of a human body model showing a physique based on the physical measurement result of a subject .
On the computer
Steps to obtain a captured image of the subject in a state of performing physical measurement,
A computer program characterized by executing a step of superimposing and arranging the captured image on a human body model subjected to the deformation processing. In order to have a computer having a communication function receive data related to a human body model that has undergone physique deformation processing based on the physical measurement results of the subject, and perform display processing of the human body model that has undergone the transformation processing. in the computer program,
On the computer
A computer program characterized by executing a step of displaying a captured image of a subject in a state of performing physical measurement in a state of being superposed on a human body model subjected to the deformation processing.