JP2017221551A - Biological information processing device, program, biological information processing method, biological information processing system, and information processing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To obtain estimated pulse wave information even when a measurement result of pulse wave measurement cannot be obtained, or even when the biological information processing apparatus does not have a function of measuring a pulse wave, a program, Provision of a biometric information processing method, a biometric information processing system, an information processing device, and the like. A biometric information processing device (100) uses an information acquisition unit (110) that acquires body movement information by using a signal from a body movement sensor (300) that detects a body movement of a user, and an estimation process of estimated pulse wave information of the user. And a communication unit 130 that receives user information including at least correspondence information between body movement information and estimated pulse wave information. Then, the processing unit 120 performs the estimation process based on the correspondence information received by the communication unit 130 and the body movement information acquired by the information acquisition unit 110. [Selection diagram]

Description

  The present invention relates to a biological information processing apparatus, a program, a biological information processing method, a biological information processing system, an information processing apparatus, and the like.

  Athletes (athletes) such as running and bicycles are performing heartbeat training, for example, as exercise load management using biological information such as pulse rate. The purpose of introducing exercise load management using biological information is to improve the efficiency of training and prevent injury by accurately grasping the load on the body from the inner surface of the body using physical information. .

  Against this background, the means for acquiring the pulse rate has also evolved. Until now, measurement using a so-called heart rate sensor attached to the chest with a belt has been the mainstream, but a sensor that can acquire the pulse rate by putting it on the arm has been commercialized, improving the convenience of the competitors. As a result, heart rate training has become widespread as a more familiar training method. However, the pulse wave sensor (biological sensor) attached to the arm has a problem that the pulse rate cannot be measured at a low temperature or when the pulse wave sensor and the arm have low adhesion. For example, if the user (subject) cannot confirm the pulse rate during exercise, heartbeat training or the like cannot be performed appropriately.

  In particular, there is a case where the user cannot devise the phenomenon that the pulse rate cannot be measured at a low temperature. For example, although the pulse rate can be measured immediately after the start of training, the temperature of the pulse wave sensor decreases due to the outside air temperature after about 30 minutes from the start of training, and the pulse rate cannot be measured. There is a case.

  On the other hand, Patent Document 1 discloses a conventional technique for estimating a pulse rate and presenting the estimated pulse rate to a user when the pulse rate cannot be measured. Specifically, in the prior art of Patent Document 1, the exercise intensity of the subject is calculated from the detection result of the body motion sensor, and the estimated pulse rate is obtained based on the obtained exercise intensity. When the pulse rate sensor can measure the pulse rate, the measured value is displayed on the display unit. When the pulse rate sensor cannot measure the pulse rate, the estimated pulse rate is displayed on the display unit. .

  Moreover, in the prior art of patent document 2, when it determines with the reliability of the measured pulse rate being low, the estimated pulse rate is used as a value which supplements a pulse rate. Specifically, when determining the appropriateness of the measured pulse rate, the estimated pulse rate (pulse estimated value) is used as a reference pulse for window processing.

  Furthermore, in the prior art disclosed in Patent Document 3, the pitch of the subject is calculated using the detection result of the body motion sensor, and the estimated pulse rate is estimated using the pitch.

JP 2012-23320 A JP 2014-236775 A JP2015-157128A

  For example, in the prior art of the above-mentioned Patent Document 1, it is assumed that the pulse wave sensor is operated as shown in FIG. 7 of the same document, and when the pulse wave sensor is not operated, The pulse was not estimated and the user could not grasp the pulse rate.

  Further, in the conventional technique disclosed in Patent Document 2 described above, since the actually measured pulse rate is used as the initial value of the estimated pulse rate, the estimated pulse rate is obtained if the pulse cannot be measured even once. There wasn't. In this case, the accuracy of the pulse measurement value presented to the user is reduced, and it takes time to specify the value.

  Furthermore, in the prior art disclosed in Patent Document 3, when pulse measurement is started during walking / running, the transition of the pulse rate before the start of measurement is not known, and if the pulse and the pitch are similar values, Since it is difficult to distinguish between the body motion component and the pulse component mixed in the wave signal, the pulse may not be identified well. For this reason, it takes a long time to start measuring the pulse rate, or erroneous detection has occurred.

  According to some aspects of the present invention, pulse wave information can be obtained even when a measurement result of pulse wave measurement cannot be obtained, or even when the biological information processing apparatus does not have a function of measuring a pulse wave. A biological information processing apparatus, a program, a biological information processing method, a biological information processing system, an information processing apparatus, and the like can be provided.

  One aspect of the present invention is an information acquisition unit that acquires body motion information using a signal from a body motion sensor that detects a user's body motion, and a processing unit that performs an estimation process of the estimated pulse wave information of the user. A communication unit that receives user information including at least correspondence information between the body motion information and the estimated pulse wave information, and the processing unit receives the correspondence information received by the communication unit, and the information The present invention relates to a biological information processing apparatus that performs the estimation process based on the body motion information acquired by the acquisition unit.

  In one aspect of the present invention, based on the correspondence information of the body motion information and the estimated pulse wave information received by the communication unit, and the body motion information acquired by the information acquisition unit from the body motion sensor, the processing unit Performs wave information estimation processing. Therefore, even when the measurement result of pulse wave measurement cannot be acquired, or when the biological information processing apparatus does not have a function of measuring a pulse wave, it is possible to obtain estimated pulse wave information.

  In the aspect of the invention, the correspondence information may be learning result data obtained by performing learning processing using the pulse wave information of the user.

  Accordingly, if the learning process is repeated, it is possible to obtain correspondence information with higher accuracy, and it is possible to improve the estimation accuracy of the estimation processing of the estimated pulse wave information.

  In one aspect of the present invention, the user information may include maximum pulse rate information indicating the maximum pulse rate of the user and resting pulse rate information indicating a pulse rate of the user at rest.

  Thereby, for example, it is possible to estimate the user's activity intensity and calorie consumption, improve the estimation accuracy of the estimated pulse wave information, and the like.

  In the aspect of the invention, the communication unit may receive the correspondence information from a server via a network.

  Thereby, it becomes possible to acquire correspondence information from the outside of the biological information processing apparatus.

  In the aspect of the invention, the communication unit may acquire the correspondence information from a second biological information processing apparatus having a pulse wave sensor.

  Thus, for example, when the storage capacity of the second biological information processing device is larger than the storage capacity of the biological information processing device, more body motion information is stored in the second biological information processing device, The second biological information processing apparatus can learn by using the stored body motion information to obtain correspondence information. Further, since the correspondence information is generated by the second biological information processing apparatus having the pulse wave sensor and the correspondence information is transmitted to the (first) biological information processing apparatus, the (first) biological information The processing device can calculate pulse wave information even if it does not include a pulse wave sensor.

  Further, according to an aspect of the present invention, the pulse wave sensor that measures the pulse wave of the user is provided, and the processing unit includes the correspondence information and the body motion even when the operation of the pulse wave sensor is off. The estimation process may be performed based on information.

  Thereby, even when the pulse wave measurement is not started, the estimated pulse rate can be obtained.

  Further, according to an aspect of the present invention, the image processing apparatus includes a detection unit that detects at least one user operation among attachment of the biological information processing apparatus to the user, movement of the user, and input operation of the user, The unit may start the estimation process when the user action is detected by the detection unit.

  As a result, when a user action is not detected, it is possible not to perform the estimation pulse wave information estimation process and to avoid unnecessary processing.

  Moreover, in one aspect of the present invention, when it is determined that the estimated pulse value obtained by the estimation process is in a non-change state, the processing unit determines that the estimated pulse value has changed. Until this time, the estimation process may be stopped.

  As a result, when it is not necessary to frequently perform the estimation pulse wave information estimation process, the number of estimation process executions can be reduced.

  Moreover, in one aspect of the present invention, the processing unit performs a determination process for determining the user's exercise state based on the body movement information, and the exercise state has not changed since the previous determination process. If it is determined that there is, the estimation process may be stopped, and if it is determined that the motion state of the user has changed, the estimation process may be resumed.

  Thereby, even when the estimation processing of the estimated pulse wave information is stopped, it is possible to determine whether or not to resume the estimation processing of the estimated pulse wave information.

  In the aspect of the invention, the processing unit may use the estimated pulse wave information when the estimation process is stopped as an initial value when the estimation process is restarted after the estimation process is stopped.

  This makes it possible to avoid re-performing the estimation pulse wave information estimation process.

  In one aspect of the present invention, when the operation of the pulse wave sensor is off, the processing unit performs exercise intensity and target exercise of the user based on the estimated pulse wave information estimated by the estimation process. You may perform the process which specifies at least 1 information of intensity | strength and calorie consumption.

  Accordingly, it is possible to present at least one information of exercise intensity, target exercise intensity, and calorie consumption to the user without turning on the pulse wave sensor.

  Another aspect of the present invention relates to a program that causes a computer to function as each of the above-described units.

  In another aspect of the present invention, body motion information is obtained from a body motion sensor that detects a user's body motion, the estimated pulse wave information of the user is estimated, and the body motion information And receiving user information including at least correspondence information between the estimated pulse wave information and a biological information processing method for performing the estimation process based on the correspondence information and the body motion information To do.

  In another aspect of the present invention, a biological information processing apparatus that acquires body motion information using a signal from a body motion sensor that detects a user's body motion, the body motion information and the estimated pulse wave information of the user An information processing device that transmits user information including at least correspondence relationship information, and the biological information processing device receives the user information from the information processing device, and the correspondence relationship information included in the user information And a biological information processing system that performs an estimation process of the estimated pulse wave information based on the acquired body motion information.

  Further, in another aspect of the present invention, body motion information is acquired using a signal from a body motion sensor that detects a user's body motion, and the correspondence relationship between the body motion information and the estimated pulse wave information of the user The present invention relates to an information processing apparatus including a communication unit that transmits user information including at least the correspondence information to a biological information processing apparatus that performs estimation processing of the estimated pulse wave information using information.

The system configuration example of this embodiment. Explanatory drawing of the correspondence information of exercise state information and estimated pulse wave information. Explanatory drawing of a learning process. Explanatory drawing of user information. Explanatory drawing of the process which receives correspondence information from a server. Explanatory drawing of the process which receives correspondence information from a 2nd biometric information processing apparatus. The other system configuration example of this embodiment. Explanatory drawing of user operation. Other explanatory drawing of user operation. Other explanatory drawing of user operation. The flowchart explaining the flow of a process of this embodiment. The flowchart explaining the flow of the determination process of a stop and restart of an estimation process. The other flowchart explaining the flow of the determination process of a stop and restart of an estimation process. FIG. Another external view of an electronic device. Another external view of an electronic device. Explanatory drawing of a biological information processing system. Another explanatory view of a living body information processing system. Another explanatory view of a living body information processing system.

  Hereinafter, this embodiment will be described. In addition, this embodiment demonstrated below does not unduly limit the content of this invention described in the claim. In addition, all the configurations described in the present embodiment are not necessarily essential configuration requirements of the present invention.

1. System Configuration Example FIG. 1 shows a configuration example of a biological information processing apparatus 100 (hereinafter also referred to as a biological information processing system 102) of this embodiment and an electronic apparatus including the same. The biological information processing apparatus 100 according to the present embodiment includes an information acquisition unit 110, a processing unit 120, and a communication unit 130. The information acquisition unit 110 acquires body motion information from the body motion sensor 300 that detects the user's body motion. The processing unit 120 performs estimation processing of the estimated pulse wave information of the user. The communication unit 130 receives user information including at least correspondence information between body motion information and estimated pulse wave information. The functions of the information acquisition unit 110, the processing unit 120, and the communication unit 130 can be realized by hardware such as a processor (CPU or the like) or an ASIC (gate array or the like), a program, or the like. For example, in the example of FIG. 1, the processor 50 realizes the functions of the information acquisition unit 110, the processing unit 120, and the communication unit 130. However, the present embodiment is not limited to this. For example, the biological information processing system 102 includes a plurality of processors, and various functions such as realizing the functions of the information acquisition unit 110, the processing unit 120, and the communication unit 130 with a plurality of processors. Variations are possible.

  Here, the estimated pulse wave information is a pulse wave representing a pulse rate, a pulse wave interval, a pulse fluctuation, and the like obtained by processing a measurement signal from a biological sensor such as a pulse wave sensor or an electrocardiograph. Pulse wave information estimated or calculated based not on information but on past pulse wave information history and measurement signals from other types of sensors that cannot directly measure pulse wave information (for example, acceleration sensors, vibration sensors, pressure sensors, etc.) That is.

  Examples of the biological information processing apparatus 100 or the electronic device include a wearable device. The electronic device may include a not-illustrated notification unit (for example, a display unit or an audio output unit). Part or all of the functions of the biological information processing apparatus 100 according to the present embodiment are realized by, for example, wearable devices. The biological information processing apparatus 100 and the electronic apparatus including the biological information processing apparatus 100 are not limited to the configuration in FIG. 1, and various modifications such as omitting some of these components or adding other components. Implementation is possible. For example, a configuration in which the biological information processing apparatus 100 includes the body motion sensor 300 is also possible.

  Further, some or all of the functions of the biological information processing apparatus 100 (biological information processing system) may be realized by an electronic device (portable electronic device) different from a wearable device such as a smartphone or a server system. A specific configuration example of the biological information processing system will be described later with reference to FIGS.

  For example, as will be described later with reference to FIG. 17, the biological information processing apparatus 100 according to the present embodiment is realized by the server system 600, and the server system 600 acquires body movement information from the wearable device 500 worn by the user. In some cases, the biological information processing apparatus 100 may include a communication unit 130 (a receiving unit that receives information from the wearable device 500) that communicates with the wearable device 500 via a network. The communication unit 130 may be a communication device such as a USB connector (communication terminal) or a wireless antenna, or may be a processor that controls the communication device.

  The body motion sensor 300 (body motion sensor device) is a sensor that is provided in the wearable device 500 attached to a subject and can acquire body motion information of the subject. For example, the body motion information is information indicating the body motion of the subject acquired from the body motion sensor 300. The body movement information is, for example, the movement distance, the number of steps, the step length, the movement time, the movement speed, acceleration, the absolute amount of acceleration variation, the frequency of acceleration variation, the amount of exercise, the exercise content (activity content), the altitude per unit time. Difference, elevation, information obtained from gyro sensor, absolute amount of angular velocity fluctuation, frequency of angular velocity fluctuation, information obtained from geomagnetic sensor, absolute amount of geomagnetic fluctuation, frequency of geomagnetic fluctuation, information obtained from barometric sensor signal It is information which shows etc. In this embodiment, it is recommended to handle these pieces of information as multidimensional vectors, but similar information may be cut in order to compress the amount of information.

  As the body motion sensor 300, for example, an acceleration sensor or the like can be used. In this case, the information acquisition unit 110 acquires acceleration information (or position information) as body motion information from the acceleration sensor. The body motion sensor 300 may be a gyro sensor, an altitude sensor, a geomagnetic sensor, an atmospheric pressure sensor, or the like. In addition, the body motion sensor 300 may be a GPS (Global Positioning System) receiver, for example. In this case, the GPS receiver (body motion sensor 300) acquires position information and movement speed information indicating the current position of the wearable device 500 (subject) based on the radio wave transmitted from the GPS satellite. The acquisition unit 110 acquires position information of the wearable device 500 (subject) as body motion information.

  Then, based on the correspondence information of the body motion information and the estimated pulse wave information received by the communication unit 130 and the body motion information acquired by the information acquisition unit 110, the processing unit 120 receives the estimated pulse wave information of the user. Perform estimation processing. In that case, for example, the processing unit 120 specifies exercise state information representing the user's exercise state based on the body movement information, correspondence information between the user's exercise state information and the estimated pulse wave information, and the exercise state Based on the information, the estimated pulse wave information is estimated. As in this example, correspondence information between body motion information and estimated pulse wave information can be replaced with correspondence information between exercise state information and estimated pulse wave information.

  Here, the exercise state refers to the state or degree of exercise (activity) performed by the user, for example, running state, walking state (moving state), lifting state, moving speed, oxygen intake (oxygen consumption) Amount), exercise intensity described later, and the like. Information representing this exercise state is referred to as exercise state information.

The correspondence information between the exercise state information and the estimated pulse wave information is information indicating a correspondence relationship between a certain exercise state and the estimated pulse rate of the user estimated at that time. For example, FIG. 2 shows a specific example of correspondence information. In the example of FIG. 2, hr ₀ to hr ₁ are associated with the user's speed (movement speed) v _{0 to} v ₁ as the user's pulse rate (estimated pulse rate). Similarly, the velocity _{v 1 ~v 2, hr 1 ~hr} 2 is associated as the estimated pulse rate, the velocity _{v 2 ~v 3, hr 2 ~hr} 3 is associated as an estimated pulse rate, the velocity _{v 3 ~v 4, hr 3 ~hr} 4 is associated as the estimated pulse rate. As described above, in the example of FIG. 2, the table information that associates the moving speed of the user with the estimated pulse rate is the correspondence information. The same applies to the correspondence information between the body motion information and the estimated pulse wave information.

  Thereby, if the user's body motion information can be acquired, it is possible to estimate the estimated pulse wave information using correspondence information as shown in FIG. Therefore, it is possible to obtain estimated pulse wave information (estimated pulse rate) or the like even when the measurement result of pulse wave measurement cannot be obtained or when pulse wave measurement is not started.

  In the learning table of FIG. 2, the estimated pulse wave information is associated with the user speed, but the present embodiment is not limited to this. For example, the analysis result of the acceleration signal, such as the frequency, amplitude, and pitch (number of steps per minute) of the acceleration signal obtained from the acceleration sensor, and the estimated pulse wave information may be associated and learned. With such a configuration, there is no need to analyze the body motion signal from the body motion sensor 300 to derive body motion information such as speed, and obtain estimated pulse information based on the signal characteristics of the body motion signal. Can do. Therefore, the estimated pulse information can be acquired with simpler processing.

  In addition, the learning table may be a table in which the moving speed acquired using GPS and the estimated pulse wave information are associated with each other, or generated based on information acquired from both the GPS and the acceleration sensor. It may be a table or the like in which an index representing a motion state (movement speed, gradient, etc.) and estimated pulse wave information are associated with each other.

  In addition, correspondence information (or correspondence information between exercise state information and estimated pulse wave information) between such body motion information and estimated pulse wave information is obtained by performing learning processing using the user's pulse wave information. The obtained learning result data may be used. For example, as shown in FIG. 3, the correspondence information may be updated as a learning table (learning result data) by performing learning processing using, for example, measured user pulse wave information (measured pulse rate) or the like. it can. In addition to the pulse wave information, body movement information, user's body information, and the like can be used for the learning process. When the correspondence information is updated by learning, the update information of the correspondence information can be communicated to the user. Here, the update information may be a message notifying the user that the correspondence information has been updated, or may be update data of the correspondence information.

  Accordingly, if the learning process is repeated, it is possible to obtain correspondence information with higher accuracy, and it is possible to improve the estimation accuracy of the estimation processing of the estimated pulse wave information.

  Moreover, as described above, the communication unit 130 receives user information including at least correspondence information between body motion information and estimated pulse wave information. As shown in FIG. 4, in addition to the correspondence information TI described above, this user information UI includes maximum pulse rate information MI indicating the user's maximum pulse rate, and resting pulse indicating the user's resting pulse rate. Number information RI may be included.

  For example, the maximum pulse rate information can also be used when performing processing for specifying at least one of the user's exercise intensity, target exercise intensity, and calorie consumption, as will be described later. The resting pulse rate information can be used as reference pulse wave information described later.

  Thereby, for example, it is possible to estimate the user's activity intensity and calorie consumption, improve the estimation accuracy of the estimated pulse wave information, and the like.

  Further, as illustrated in FIG. 5, the communication unit 130 may receive correspondence information as illustrated in FIG. 2 described above, for example, from the server 602 via the network. The server 602 is one server device included in a server system 600 described later with reference to FIG.

  Thereby, it is possible to acquire correspondence information from outside the biological information processing apparatus 100. For this reason, for example, it is possible to use correspondence information obtained by performing learning processing in the server 602. For example, body motion information and pulse wave information can be accumulated in the server 602, and as shown in FIG. 3, the server 602 can perform learning processing using them and specify correspondence information as learning result data. At this time, not only the body motion information and pulse wave information acquired by the biological information processing apparatus 100 but also the body motion information and pulse acquired by another apparatus other than the biological information processing apparatus 100 and transmitted to the server 602. Correspondence information can be obtained using wave information. As a result, it becomes possible to perform learning processing using more learning data (body motion information and pulse wave information). Therefore, the estimation pulse wave information estimation processing performed using the correspondence information that is the learning result The estimation accuracy can be improved.

  In addition to the example of FIG. 5, as illustrated in FIG. 6, the communication unit 130 may acquire correspondence information from the second biological information processing apparatus 800 having the pulse wave sensor 200. In this case, for example, the biological information processing apparatus 100 is a wristwatch-type wearable device shown in FIG. 14 and the like described later, and the pulse wave sensor 200 included in the second biological information processing apparatus 800 is a chest belt type heart rate monitor. is there. At this time, the information acquisition unit 110 of the biological information processing apparatus 100 acquires body movement information from the body movement sensor 300, and the communication unit 130 transmits the body movement information to the second biological information processing apparatus 800. Then, the second biological information processing apparatus 800 performs learning based on the pulse wave sensor information acquired by the pulse wave sensor 200 and the received body motion information, and obtains correspondence information. Then, the second biological information processing apparatus 800 transmits correspondence information to the biological information processing apparatus 100. Although not shown, the second biological information processing apparatus 800 may include a body motion sensor 300 in addition to the pulse wave sensor 200. For example, a specific example of the second biological information processing apparatus 800 is a chest belt type electrocardiograph equipped with an acceleration sensor.

  Here, the pulse wave sensor 200 (pulse wave sensor device) is a sensor for detecting pulse wave information (pulse wave signal). For example, the pulse wave sensor 200 is provided in a wearable device attached to a subject, and includes a light emitting unit and a light receiving unit. A photoelectric sensor including The pulse wave information is information relating to the pulse wave of the subject, for example, information indicating the aforementioned pulse rate (heart rate) or the like. The pulse wave sensor information is information obtained from the pulse wave sensor 200. The pulse wave sensor information may be pulse wave information itself, or may be a waveform signal indicating a pulse wave, for example. It is known that the pulse wave sensor 200 can be realized by various sensors such as a photoelectric sensor and other forms of sensors (for example, an ultrasonic sensor). The pulse wave sensor 200 of the present embodiment is widely applied to these sensors. Is possible.

  Thereby, for example, when the storage capacity of the second biological information processing apparatus 800 is larger than the storage capacity of the biological information processing apparatus 100, more body movement information is stored in the second biological information processing apparatus 800. Then, the second biological information processing apparatus 800 can learn using the stored body motion information to obtain the correspondence information. In addition, when the processing performance of the second biological information processing apparatus 800 is higher than the processing performance of the biological information processing apparatus 100, it is possible to perform learning at higher speed to obtain correspondence information, and the like. . As a result, the processing load on the biological information processing apparatus 100 can be reduced.

  Moreover, in this embodiment, unlike patent document 2 mentioned above, if the pulse is not measured, the estimated pulse rate cannot be obtained. Therefore, even when the pulse wave sensor is not provided or when the pulse wave sensor does not operate, the estimated pulse rate can be presented to the user. In addition, as will be described later, even when the pulse wave sensor is operated, the estimated pulse rate can be presented to the user before the pulse rate is measured by the pulse wave sensor. Can be shortened.

  Furthermore, as described in Patent Document 3 described above, when pulse measurement is started during walking / running, the pulse cannot be well identified during walking / running. It is possible to estimate the estimated pulse rate and present it to the user without changing the time.

  In the present embodiment, the following configuration may be used. That is, the biological information processing apparatus 100 includes a memory (storage unit) that stores information (for example, programs and various data), and a processor (processing unit 120, hardware) that operates based on the information stored in the memory. Processor). The processor acquires body motion information of the subject from the body motion sensor 300 (body motion sensor device) provided in the wearable device 500. Then, the processor performs an estimation process of the estimated pulse wave information of the user based on the body motion information.

  In the processor (processing unit 120), for example, the function of each unit may be realized by individual hardware, or the function of each unit may be realized by integrated hardware. The processor may be, for example, a CPU (Central Processing Unit). However, the processor is not limited to the CPU, and various processors such as a GPU (Graphics Processing Unit) or a DSP (Digital Signal Processor) can be used. The processor may be a hardware circuit based on an ASIC (Application Specific Integrated Circuit). The memory (storage unit) may be a semiconductor memory such as SRAM (Static Random Access Memory) or DRAM (Dynamic Random Access Memory), a register, or a magnetic storage device such as a hard disk device. It may also be an optical storage device such as an optical disk device. For example, the memory stores instructions that can be read by a computer, and the functions of the processing unit 120 are realized by executing the instructions by the processor. The instruction here may be an instruction of an instruction set constituting the program, or an instruction for instructing an operation to the hardware circuit of the processor.

2. Next, the method of this embodiment will be described.

  Moreover, the biological information processing apparatus 100 according to the present embodiment may include a pulse wave sensor 200 that measures a user's pulse wave. Alternatively, as illustrated in FIG. 7, the information acquisition unit 110 may acquire pulse wave sensor information from a pulse wave sensor 200 provided outside the biological information processing apparatus 100. In these cases, the processing unit 120 may perform the estimation process based on the correspondence information and the body motion information even when the operation of the pulse wave sensor 200 is off.

  Here, the case where the pulse wave sensor 200 is turned off includes not only a state in which power is not supplied to the pulse wave sensor 200 but also a state in which the power consumption of the pulse wave sensor 200 is smaller than at the time of measurement. Alternatively, the pulse wave sensor 200 is turned off when no signal is output from the pulse wave sensor 200 or when the processing unit 110 calculates pulse wave information using the signal from the pulse wave sensor 200. It may be a state where it is not implemented.

  Thereby, even when the pulse wave measurement is not started, the estimated pulse rate can be obtained.

  On the other hand, when the pulse wave sensor 200 is turned on, the processing unit 120 determines the pulse rate of the subject based on the pulse wave sensor information acquired from the pulse wave sensor (hereinafter, measured pulse rate). Called). Further, at that time, the processing unit 120 can perform an estimation process of the estimated pulse wave information based on the body motion information acquired from the body motion sensor 300, and obtain an estimated pulse rate. And the process part 120 can use the calculated | required estimated pulse rate for the correction process of a measured pulse rate, or can display an estimated pulse rate with a measured pulse rate on a display part not shown.

  Next, the start timing of the estimated pulse wave information estimation process will be described. For example, when the user does not wear the biological information processing apparatus 100, the above-described estimation processing of the estimated pulse wave information cannot be performed. In addition, when the user has been in the same posture for a long time, the pulse wave information often does not change greatly, and there is little need to perform the estimated pulse wave information estimation process.

  Therefore, the biological information processing apparatus 100 of the present embodiment may include a detection unit 140 as illustrated in FIG. The detection unit 140 detects at least one user operation among mounting of the biological information processing apparatus 100 to the user, user movement, and user input operation. And the process part 120 starts the estimation process of presumed pulse wave information, when said user operation is detected by the detection part 140. FIG.

  For example, specific examples of user operations are shown in FIGS. In the example shown in FIG. 8, a user wears a wristwatch-type biological information processing apparatus SU on the arm AM. For example, in the case of FIG. 8, the detection unit 140 includes, for example, an optical sensor provided on the back surface (the surface that becomes the subject side when worn) of the case unit of the wristwatch-type biological information processing apparatus SU. Then, based on the sensor information obtained from the optical sensor, it is determined whether or not the biological information processing device SU is attached, and the determination result is notified to the processing unit 120.

  In the example shown in FIG. 9, a user wearing a wristwatch-type biological information processing device SU on the arm AM moves the hand HD as indicated by an arrow YJ. In such a case as shown in FIG. 9, as shown in FIG. 7, the detection unit 140 acquires body motion information from the body motion sensor 300, and whether the user has performed a predetermined motion based on the acquired body motion information. It is determined whether or not, and the determination result is notified to the processing unit 120.

  Further, in the example illustrated in FIG. 10, for example, the user designates a button BT (operation unit, switch) provided on the biological information processing apparatus SU in order to give an execution instruction (request) for estimation processing of estimated pulse wave information. As indicated by YJ, the biological information processing apparatus SU is operated by pushing with a finger. In this case, the detection unit 140 detects whether or not the button BT in FIG. 10 has been operated, and notifies the processing unit 120 of information indicating the operation content when an operation on the button BT is detected. Alternatively, the detection unit 140 may detect that the case of the biological information processing device SU has been tapped with a finger. The processing and functions of the detection unit 140 may be configured to be performed by the processing unit 110.

  In the present embodiment, when any of such user actions is detected, the estimated pulse wave information is estimated. That is, the estimated pulse wave information estimation process immediately after the user wears the biological information processing apparatus, when the user moves the body, or when the user requests to perform the estimated pulse wave information estimation process. It can be performed. In other words, when the above-described user action is not detected, it is possible to prevent the estimated pulse wave information from being estimated and to avoid unnecessary processing.

  Next, a case where pulse wave measurement is performed using the pulse wave sensor 200 will be described. If the estimated pulse wave information described above is corrected using the actually measured pulse wave information, the accuracy can be further improved. Therefore, the processing unit 120 turns on the operation of the pulse wave sensor 200 after the estimation process is started.

  As a result, the pulse wave sensor information obtained from the pulse wave sensor 200 can be used for the estimation pulse wave information estimation process.

  For example, the processing unit 120 obtains the user's reference pulse wave information by the estimation process, and performs the estimation process based on the pulse wave sensor information obtained from the pulse wave sensor 200 whose operation is turned on and the reference pulse wave information. Do.

  Here, the reference pulse wave information is pulse wave information used as a reference when obtaining estimated pulse wave information. The reference pulse wave information is, for example, pulse wave information when the user is at rest, and can be obtained using the correspondence information described above with reference to FIG.

  Thereby, it is possible to improve the estimation accuracy of the estimated pulse wave information.

  As described above, if the pulse wave sensor information obtained from the pulse wave sensor 200 is used, the estimation accuracy of the estimated pulse wave information can be improved. However, if the pulse wave sensor 200 is always turned on, power consumption increases. turn into. Further, it is not always necessary to acquire the pulse wave sensor information at all times. For example, it is only necessary to be able to acquire the estimated pulse wave information every certain period.

  Therefore, the processing unit 120 performs intermittent on / off control for intermittently turning on / off the pulse wave sensor 200. In the intermittent on / off control, for example, after the pulse wave sensor 200 is turned on in the first period (operation on period), the pulse wave sensor 200 is turned off in the second period (operation off period), and then the pulse wave sensor again. In this control, a series of operations of turning on 200 is repeated. Note that the first period and the second period may be fixed periods or may be variably settable periods.

  This makes it possible to acquire pulse wave sensor information while suppressing power consumption by the pulse wave sensor 200.

  On the other hand, the processing unit 120 performs the estimation pulse wave information estimation process even in the operation off period in the intermittent on / off control. In the present embodiment, as described above, the estimated pulse wave information is obtained using, for example, body motion information and correspondence information, and therefore can be obtained without the pulse wave sensor information. In addition, even if the user cannot confirm the actually measured pulse wave information, it is often sufficient that the user can confirm the estimated pulse wave information at a minimum. Furthermore, compared to driving the pulse wave sensor 200 constantly, even if the processing unit 120 is driven to perform the estimated pulse wave information estimation process, the increase in power consumption is not a problem.

  This makes it possible to continue presenting the latest estimated pulse wave information to the user while suppressing an increase in power consumption. In this case, the processing unit 120 displays the estimated pulse wave information on a display unit (not shown), for example.

  In addition, as described above, in Patent Document 1 and the like, pulse estimation is not performed when the pulse wave sensor is not operated. Therefore, in order for the user to know the pulse rate, it is necessary to wait until the pulse wave measurement by the pulse wave sensor is completed, and the user cannot know the pulse rate immediately after wearing the biological information processing apparatus. .

  On the other hand, in this embodiment, as described above, when the detection unit 140 detects a user action, the processing unit 120 starts an estimation process of estimated pulse wave information. In other words, the processing unit 120 starts the estimation process at a timing before the timing at which the operation of the pulse wave sensor 200 is turned on.

  This makes it possible to present estimated pulse wave information to the user before performing pulse wave measurement by the pulse wave sensor.

  Next, stop and restart timings of the estimation pulse wave information estimation process will be described. When the user is in a resting state, the estimated pulse rate (pulse wave estimated value) often does not change much. Up to such a case, it can be said that there is little need to perform the estimation pulse wave information estimation process at the same frequency as when the estimated pulse rate fluctuates greatly.

  Therefore, when it is determined that the estimated pulse value obtained by the estimation process is in the non-change state, the processing unit 120 stops the estimation process until it is determined that the estimated pulse value has changed.

  Here, the non-change state is a state in which the difference between the pulse estimated value obtained in the previous estimation process and the pulse estimated value obtained in the current estimation process is within a given range. . The change state is a state in which the difference between the pulse estimated value obtained in the previous estimation process and the current pulse estimated value is equal to or greater than a given threshold value.

  As a result, when it is not necessary to frequently perform the estimation pulse wave information estimation process, the number of estimation process executions can be reduced.

  However, when the estimation processing of the estimated pulse wave information is stopped, whether or not the estimated pulse value is changed is directly compared with the estimated pulse value when determining the restart timing of the estimation processing. I can't.

  Therefore, the processing unit 120 performs a determination process for determining the user's exercise state based on the body movement information, and performs an estimation process when determining that the exercise state has not changed since the previous determination process. When it is determined that the motion state of the user has changed, the estimation process is resumed. In other words, if it is determined that the exercise state has not changed since the previous determination process, the pulse estimation value is also considered to be unchanged, the estimation process is stopped, and the user's exercise state has changed. If it is determined that the pulse estimation value has been changed, it is assumed that the estimated pulse value has changed, and the estimation process is resumed.

  Here, the exercise state is a non-change state, for example, the user is in a walking state and the walking pace is not changed. The exercise state is a change state, for example, the user is walking It is a state that has changed from a state to a traveling state.

  Thereby, even when the estimation processing of the estimated pulse wave information is stopped, it is possible to determine whether or not the pulse estimated value has changed, and whether or not to resume the estimation processing of the estimated pulse wave information. It is possible to make a judgment. In addition, as described above, when a user action is detected, it is possible to perform a modification such as resuming the estimation pulse wave information estimation process by assuming that the estimated pulse value has changed.

  Then, the processing unit 120 uses the estimated pulse wave information when the estimation process is stopped as an initial value when the estimation process is resumed after the estimation process is stopped. That is, the estimation process is resumed based on the previous estimated pulse wave information.

  As described above, by using the latest estimated pulse wave information when the estimated pulse wave information estimation process is resumed, it is possible to avoid re-execution of the estimation process from the time when the user is in a resting state.

  In addition, when the operation of the pulse wave sensor 200 is off, the processing unit 120, based on the estimated pulse wave information estimated by the estimation process, at least one of the user's exercise intensity, the target exercise intensity, and the calorie consumption. To identify one piece of information.

  Here, the exercise intensity (activity intensity) is, for example, a numerical value indicating the intensity of the exercise (activity) performed by the subject, and specifically, METs (Metabolic equivalents) or pace (during movement) ( min / km). The target exercise intensity is the target exercise intensity for the user to exercise, and is determined based on the current exercise intensity, calorie consumption, exercise time, user physical strength, target information input by the user, etc. Is done.

  Thereby, even if the pulse wave sensor 200 is not turned on, information on at least one of exercise intensity, target exercise intensity, and calorie consumption can be presented to the user. In this case, the processing unit 120 displays the above information on, for example, a display unit (not shown).

  In the present embodiment, body motion information is acquired from a body motion sensor that detects the user's body motion, the estimated pulse wave information of the user is estimated, and the body motion information and the estimated pulse wave information. And receiving user information including at least correspondence relationship information, and applicable to a biological information processing method that performs estimation processing based on correspondence relationship information and body motion information.

3. Details of Processing Next, details of processing according to the present embodiment will be described with reference to the flowchart of FIG.

  First, the processing unit 120 acquires body motion information from the body motion sensor 300 (S101). Next, the processing unit 120 determines whether or not the detection unit 140 has detected the above-described user action based on the acquired body movement information (S102). When it is determined that the user operation is not detected by the detection unit 140 (S102: NO), the processing from step S101 to step S102 is repeated until the user operation is detected. In this case, for example, the processing from step S101 to step S102 is performed at regular intervals.

  On the other hand, when it is determined that the detection unit 140 has detected a user action (S102: YES), the processing unit 120 determines whether to stop or restart the estimation processing of the estimated pulse wave information (S103), If it is determined to stop (S103: YES), a series of processing ends. The process flow of step S103 will be described later with reference to the flowcharts of FIGS.

  When it is determined that the processing unit 120 does not stop the estimation process (S103: NO), the processing unit 120 acquires correspondence information of the motion state information and the estimated pulse wave information from a storage unit (not illustrated) ( S104). Then, the processing unit 120 identifies exercise state information representing the user's exercise state based on the body motion information, and performs an estimation pulse wave information estimation process based on the correspondence information and the exercise state information described above. It performs (S105).

  Next, the processing unit 120 performs control to intermittently turn on / off the operation of the pulse wave sensor 200 (S106). Then, the processing unit 120 determines whether or not the operation of the pulse wave sensor 200 is set to ON (S107), and determines that the operation of the pulse wave sensor 200 is set to ON (S107). : YES), pulse wave sensor information is acquired from the pulse wave sensor 200 (S108). Next, the processing unit 120 obtains reference pulse wave information based on the acquired pulse wave sensor information (S109), and based on the pulse wave sensor information and the reference pulse wave information, the estimated pulse wave information is estimated. (S110). Then, the process returns to step S101.

  Further, when the processing unit 120 determines that the operation of the pulse wave sensor 200 is set to OFF (S107: NO), the process returns to step S101 without performing the processes of steps S108 to S110. .

  Next, the detailed flow of the process of step S103 of FIG. 11 will be described using the flowchart of FIG.

  First, the processing unit 120 compares the previous pulse estimated value stored in a storage unit (not shown) with the current pulse estimated value (S201). Next, the processing unit 120 determines whether or not the pulse estimated value is in a non-change state (S202), and when it is determined that the pulse estimated value is in a non-change state (S202: YES), the estimation process is stopped. Then, it determines (S203). On the other hand, when it is determined that the estimated pulse value is not in the non-change state (S202: NO), it is determined that the estimation process is not stopped (S204). In addition, at the time of the first and second execution, since both the previous pulse estimated value and the current pulse estimated value cannot be acquired, for example, the previous pulse estimated value and the current pulse estimated value are regarded as different values, and the estimation process Is determined not to stop.

  Moreover, the process of step S103 of FIG. 11 is realizable also by the process shown to the flowchart of FIG.

  In the example of FIG. 13, first, the processing unit 120 performs an exercise state determination process based on the body motion information of the user (S301). Next, the processing unit 120 determines whether or not the exercise state is the non-change state (S302), and determines that the estimation process is stopped when it is determined that the exercise state is the non-change state (S302: YES). (S303). On the other hand, when it is determined that the exercise state is not a non-change state (S302: NO), it is determined that the estimation process is restarted (not stopped) (S304). In addition, at the time of the first execution and the second execution, since it cannot be determined whether the exercise state is a non-change state, it is determined that the estimation process is not stopped.

4). Specific Example of Wearable Device FIGS. 14 to 16 show an example of an external view of a wearable device 500 (wearable device) that acquires biological information and body movement information. The wearable device 500 according to the present embodiment includes a band unit 10, a case unit 30, and a sensor unit 40. As shown in FIGS. 14 and 15, the case part 30 is attached to the band part 10. As shown in FIG. 16, the sensor unit 40 is provided in the case unit 30 and includes the body motion sensor 300 described above with reference to FIG. Further, the sensor unit 40 may include the pulse wave sensor 200 described above with reference to FIG.

  The band unit 10 is for wrapping around the user's wrist and wearing the wearable device 500. The band part 10 has a band hole 12 and a buckle part 14. The buckle portion 14 has a band insertion portion 15 and a projection portion 16. The user inserts one end side of the band unit 10 into the band insertion unit 15 of the buckle unit 14 and inserts the protrusion 16 of the buckle unit 14 into the band hole 12 of the band unit 10, so that the wearable device 500 is placed on the wrist. Installing. In addition, the band part 10 is good also as a structure which has a buckle instead of the buckle part 14. FIG.

  The case unit 30 corresponds to the main body unit of the wearable device 500. Various components of the wearable device 500 such as the sensor unit 40 and a circuit board (processing unit 120) (not shown) are provided inside the case unit 30. That is, the case part 30 is a housing for housing these components.

  The case part 30 is provided with a light emitting window part 32. The light emitting window 32 is formed of a light transmissive member. The case portion 30 is provided with a light emitting portion as an interface mounted on a flexible substrate, and light from the light emitting portion is emitted to the outside of the case portion 30 through the light emitting window portion 32. The case unit 30 may be provided with a display unit such as an LCD (Liquid Crystal Display) instead of the light emitting unit, or may be provided with a display unit and a light emitting unit.

  The wearable device 500 is worn on the user's wrist as shown in FIG. 17 and the like, and measurement of biological information and body motion information is performed in the worn state.

5. Specific Implementation Example of Biological Information Processing System Next, an example of a specific device that implements the biological information processing system 102 according to the present embodiment will be described. The functions of the biological information processing system 102 according to the present embodiment may be realized by a wearable device 500 (electronic device) and a server system 600 as shown in FIG. In this case, wearable device 500 (electronic device) includes body motion sensor 300, and server system 600 includes processing unit 120. Wearable device 500 (electronic device) may include pulse wave sensor 200. FIG. 17 shows an example in this case. For example, the server system 600 is connected to the wearable device 500 (electronic device) via the network NE, and acquires body movement information of the subject from the wearable device 500. If wearable device 500 includes pulse wave sensor 200, server system 600 also acquires pulse wave sensor information from wearable device 500. The wearable device 500 worn by the user needs to be small and light, so that there are large restrictions on the processing performance of the processing unit in the battery and the apparatus, or the data storage capacity. On the other hand, since the server system 600 has relatively small resource constraints, for example, it is possible to perform a process of estimating the estimated pulse wave information based on the body motion information at a high speed or hold more data. It is.

  The server system 600 only needs to be able to acquire various types of information collected by the wearable device 500, and is not limited to one that is directly connected to the wearable device 500. For example, as shown in FIG. 18, the wearable device 500 may be connected to another processing apparatus 700, and the server system 600 may be connected to the processing apparatus 700 via a network NE. As the processing device 700 in this case, for example, a mobile terminal device such as a smartphone used by a user wearing the wearable device 500 can be considered. The connection between the wearable device 500 and the processing device 700 may be the same as that of the network NE, but it is also possible to use short-range wireless communication or the like.

  In addition, as illustrated in FIG. 19, the biological information processing system 102 according to the present embodiment is not a server system 600 but a processing device 700 (electronic device, mobile terminal device in a narrow sense) such as a smartphone and a wearable device 500. It may be realized. Mobile terminal devices such as smartphones are often limited in processing performance, storage area, and battery capacity compared to the server system 600, but sufficient processing performance can be ensured in consideration of recent performance improvements. It is also possible. Therefore, if a request for processing performance or the like is satisfied, a smartphone or the like can be used as the biological information processing system 102 according to the present embodiment as shown in FIG.

  Furthermore, in consideration of improvement in terminal performance or usage pattern, an embodiment in which the wearable device 500 (electronic device) includes the biological information processing system 102 according to the present embodiment is not denied as described above. In this case, the processing unit 120 acquires information from the pulse wave sensor 200 and the body motion sensor 300 in the same device. When the biometric information processing system 102 is mounted on the wearable device 500, the biometric information processing system 102 has a low demand for data analysis, storage, etc. for a large number of users, and one or a small number of users who use the wearable device 500 Target users. In other words, the possibility of satisfying the user's request is sufficiently conceivable in the processing performance of the wearable device 500 and the like.

  That is, the method of the present embodiment is a terminal device (biological information processing apparatus, biological information analysis apparatus, biological information measurement) including a processing unit that estimates pulse wave estimation information of a user based on acquired user body movement information. Apparatus, biological information detection apparatus).

  In the biological information processing system 102, for example, body motion information acquisition processing and pulse wave estimation information estimation processing may be realized by distributed processing of a plurality of devices. Specifically, as in the example of FIGS. 17 and 18 described above, the biological information processing system 102 may be realized by at least two or more of the server system 600, the processing device 700, and the wearable device 500. . Alternatively, another device may perform part of the processing of the biological information processing system 102, and the biological information processing system 102 according to the present embodiment can be realized by various devices (or combinations of devices). Conversely, the biological information processing system 102 may be realized by a single device.

  As described above, in the present embodiment, a biological information processing apparatus that acquires body motion information using a signal from a body motion sensor that detects a user's body motion, body motion information, and estimated pulse wave information of the user The biological information processing apparatus receives user information from the information processing apparatus, receives the correspondence information included in the user information, and the acquired body movement The present invention is applicable to a biological information processing system that performs estimation processing of estimated pulse wave information based on information. Note that the information processing apparatus may be the second biological information processing apparatus 800 illustrated in FIG.

  Moreover, this embodiment acquires body motion information using a signal from a body motion sensor that detects the user's body motion, and uses correspondence information between the body motion information and the estimated pulse wave information of the user, The present invention is applicable to an information processing apparatus including a communication unit that transmits user information including at least correspondence information to a biological information processing apparatus that performs estimation processing of estimated pulse wave information.

  In addition, the biological information processing apparatus, the electronic device, and the like according to the present embodiment may realize part or most of the processing by a program. In this case, the biological information processing apparatus, the electronic device, and the like according to the present embodiment are realized by executing a program by a processor such as a CPU. Specifically, a program stored in a non-temporary information storage device is read, and a processor such as a CPU executes the read program. Here, an information storage device (device readable by a computer) stores programs, data, and the like, and functions as an optical disk (DVD, CD, etc.), HDD (hard disk drive), or memory (card type). It can be realized by memory, ROM, etc. A processor such as a CPU performs various processes according to the present embodiment based on a program (data) stored in the information storage device. That is, in the information storage device, a program for causing a computer (an apparatus including an operation unit, a processing unit, a storage unit, and an output unit) to function as each unit of the present embodiment (a program for causing a computer to execute the processing of each unit). Is memorized.

  In the description of FIG. 3, it is assumed that the learned update information can be configured to communicate the update information of the correspondence relationship information to the user when the correspondence relationship information is updated. Specifically, the update information may be communicated from the second biological information processing apparatus 800 to the user's wearable device 500 via wired or wireless communication. By communicating the update information with such a configuration, it is possible to quickly update the correspondence information.

  Alternatively, when the update information is generated, the update information is transmitted from the second biological information processing apparatus 800 to the server via the network, and when the user wearable device 500 is connected to the server via the network, for example, When uploading the measurement information of the wearable device 500 to the server via the network, the update information can be notified to the user by transmitting the update information of the correspondence information from the server to the wearable device 500. It should be noted that when the update information of the correspondence information is transmitted from the server to the wearable device 500, the update may be performed via the processing device 700 such as a smartphone. With this configuration, even when the user does not carry both the wearable device 500 and the second biological information processing apparatus 800, the correspondence relationship information learned by the second biological information processing apparatus 800 and the update are updated. Information can be acquired. Even if the wearable device 500 does not include a pulse wave sensor, an appropriate estimated pulse rate can be calculated from the body motion signal and the correspondence information.

  As a result, the processing of this embodiment can be realized by a program. The program may be a program that is read and executed by a processing unit (for example, a DSP) of a device such as a smartphone.

  Although the present embodiment has been described in detail as described above, it will be easily understood by those skilled in the art that many modifications can be made without departing from the novel matters and effects of the present invention. Accordingly, all such modifications are intended to be included in the scope of the present invention. For example, a term described at least once together with a different term having a broader meaning or the same meaning in the specification or the drawings can be replaced with the different term in any part of the specification or the drawings. Further, the configuration and operation of the biological information processing apparatus and program are not limited to those described in the present embodiment, and various modifications can be made.

10 ... Band part, 12 ... Band hole, 14 ... Buckle part, 15 ... Band insertion part,
16 ... Projection part, 30 ... Case part, 32 ... Light emission window part, 40 ... Sensor part,
50 ... Processor, 100 ... Biological information processing device, 102 ... Biological information processing system,
110 ... Information acquisition unit, 120 ... Processing unit, 130 ... Communication unit, 140 ... Detection unit,
200 ... Pulse wave sensor, 300 ... Body motion sensor, 500 ... Wearable device,
600 ... Server system, 602 ... Server device, 700 ... Processing device,
800 ... Second biological information processing apparatus

Claims (15)

An information acquisition unit that acquires body movement information using a signal from a body movement sensor that detects a user's body movement;
A processing unit that performs estimation processing of the estimated pulse wave information of the user;
A communication unit for receiving user information including at least correspondence information between the body motion information and the estimated pulse wave information;
Including
The processor is
A biological information processing apparatus that performs the estimation process based on the correspondence information received by the communication unit and the body movement information acquired by the information acquisition unit. In claim 1,
The correspondence information is
A biological information processing apparatus, which is learning result data obtained by performing learning processing using the pulse wave information of the user. In claim 1 or 2,
The user information is
A biological information processing apparatus comprising: maximum pulse rate information indicating a maximum pulse rate of the user; and resting pulse rate information indicating a pulse rate at rest of the user. In any one of Claims 1 thru | or 3,
The communication unit is
A biological information processing apparatus that receives the correspondence information from a server via a network. In any one of Claims 1 thru | or 3,
The communication unit is
The biological information processing apparatus, wherein the correspondence information is acquired from a second biological information processing apparatus having a pulse wave sensor. In any one of Claims 1 thru | or 4,
A pulse wave sensor for measuring the user's pulse wave;
The processor is
A biological information processing apparatus that performs the estimation process based on the correspondence information and the body motion information even when the operation of the pulse wave sensor is off. In any one of Claims 1 thru | or 6.
A detection unit for detecting at least one user operation among mounting of the biological information processing apparatus to the user, movement of the user, and input operation of the user;
The processor is
The biological information processing apparatus characterized by starting the estimation process when the user action is detected by the detection unit. In any one of Claims 1 thru | or 7,
The processor is
When it is determined that the estimated pulse value obtained by the estimation process is in a non-changed state, the estimation process is stopped until it is determined that the estimated pulse value is in a changed state. Information processing device. In any one of Claims 1 thru | or 7,
The processor is
Based on the body movement information, a determination process for determining the user's exercise state is performed,
If it is determined that the motion state is a non-change state from the previous determination process, the estimation process is stopped,
The biological information processing apparatus restarting the estimation process when it is determined that the exercise state of the user has changed. In claim 8 or 9,
The processor is
A biological information processing apparatus using the estimated pulse wave information when the estimation process is stopped as an initial value when the estimation process is resumed after the estimation process is stopped. In any one of Claims 1 thru | or 10.
The processor is
When the operation of the pulse wave sensor is off, at least one information of the user's exercise intensity, target exercise intensity, and calorie consumption is specified based on the estimated pulse wave information estimated by the estimation process The biological information processing apparatus characterized by performing the process to do. An information acquisition unit that acquires body movement information using a signal from a body movement sensor that detects a user's body movement;
A processing unit that performs estimation processing of the estimated pulse wave information of the user;
As a communication unit that receives user information including at least correspondence information between the body motion information and the estimated pulse wave information,
Make the computer work,
The processor is
A program for performing the estimation processing based on the correspondence information received by the communication unit and the body movement information acquired by the information acquisition unit. Using body motion sensors that detect the user ’s body movement to obtain body movement information,
Performing an estimation process of the estimated pulse wave information of the user;
Receiving user information including at least correspondence information between the body motion information and the estimated pulse wave information;
Including
A biological information processing method, wherein the estimation process is performed based on the correspondence information and the body motion information. A biological information processing apparatus that acquires body movement information using a signal from a body movement sensor that detects a user's body movement;
An information processing device that transmits user information including at least correspondence information between the body motion information and the estimated pulse wave information of the user;
Including
The biological information processing apparatus includes:
The user information is received from the information processing apparatus, and the estimated pulse wave information is estimated based on the correspondence information included in the user information and the acquired body motion information. Biological information processing system. Body motion information is obtained using a signal from a body motion sensor that detects a user's body motion, and the estimated pulse wave information is obtained using correspondence information between the body motion information and the estimated pulse wave information of the user. For the biological information processing apparatus that performs the estimation process of
An information processing apparatus comprising: a communication unit that transmits user information including at least the correspondence information.

Images