JPH0326281A - Operation diagnosing device - Google Patents

Abstract

PURPOSE:To automatically execute the diagnosis and evaluation of operation while a real operational feeling is still remained by extracting required various data from the photographed move of an operational point for a person to be diagnosed and comparing the extracted data with the data of a comparison reference. CONSTITUTION:When an input means 21 inputs the data of swing photographed by a TV camera 100, a measuring means 22 extracts the data for the coordinates of the operational point to be the base of swing analysis from these input data by using picture processing technique. A calculating means 23 extracts and calculates data such as velocity, acceleration, angular velocity and angular acceleration, etc., for each operational point from the obtained coordinate data. Then, a data group is calculated to be matched with the comparison reference as the object of the comparison. A comparison reference holding means 24 holds the data of the plural comparison references and a comparing and deciding means 25 compares the extracted and calculated data with the data of the comparison references. A post-processing means 26 selects a diagnosed result for each selected comparison reference, which is held by the comparison reference holding means 24, and executes processing so that a sound output or picture display output can be executed. Then, an output means 27 outputs this result by a sound or picture display, etc.

Description

[Detailed description of the invention] [Industrial application field] The present invention relates to an apparatus for analyzing and diagnosing human motion.

In particular, the present invention relates to a device that performs motion analysis, obtains an evaluation value for a target motion, and outputs a diagnostic result. INDUSTRIAL APPLICATION This invention can be utilized for the golf swing diagnostic device which diagnoses a golf swing in real time.

〔overview〕

The present invention provides a motion diagnosis device that photographs the motions of a patient to be diagnosed and analyzes the motions. By comparing the results with other data and immediately outputting the results, it is possible to give an evaluation diagnosis based on quantitative data while the patient still has the memory of the sense of movement.

[Conventional technology]

BACKGROUND ART Analysis and evaluation of movements in sports and the like have traditionally been performed by instructors. For example, when practicing a golf swing, an instructor would watch the golf swing and give appropriate advice. If there was no instructor present, the swing would be recorded on a VTR or film and then played back for the instructor to watch and give advice.

Alternatively, there are motion analysis devices that photograph swings and perform image processing on them, but they do not analyze the photographed swings in real time and compare them with some kind of evaluation standard to make a diagnosis.

There has also been a golf swing evaluation device that measures the speed and direction of the ball or the speed of the club head at the moment of impact and displays the numbers.

[Problem to be solved by the invention]

However, if you practice alone and there is no instructor,
Since it is not possible to diagnose the swing and give appropriate advice, the effectiveness of practice is not increased. In addition, unless some kind of diagnosis is made and advice is given on the spot while the player still has a feeling of the swing, the teaching effect will not increase, and even if the teaching is done at intervals, the learning effect will not be achieved. It didn't go up. Furthermore, even if the swing is analyzed by an image processing device, if the diagnosis is shown at intervals, the feeling of performing the swing will have been lost, and the teaching effect will not be improved. There was a problem.

Furthermore, even if you measure the speed and direction of the ball or the head speed at the moment of impact and display those numbers, it does not evaluate the movement as a whole, so it does not diagnose the swing, and it does not diagnose the swing as a whole. It was insufficient as a diagnostic device.

The present invention solves the problems of the prior art described above, and provides a motion diagnostic device that can analyze motion in real time and automatically diagnose and evaluate motion while the motion is still felt. The purpose is to

[Means to solve the problem]

The present invention includes a photographing means for photographing the motions of a person to be diagnosed, a sampling means for sampling the motion images photographed by the photographing means and converting them into digital signals, and a photographing means for capturing the motion images of the patient from the image data converted to the digital signals. In a motion diagnosis device equipped with a measuring means for extracting the coordinates of each of a plurality of motion points set for motion analysis by a diagnostician, the characteristics of the motion are determined from the coordinates of each motion point extracted by the measuring means. a data calculation means for calculating the represented data; a comparison means for comparing the data calculated by the data calculation means with data of a comparison standard to obtain an evaluation value; and a comparison means for calculating the evaluation value obtained by the comparison means. The present invention is characterized by comprising an output means for selecting and outputting a diagnosis result prepared in advance.

The device may include a plurality of comparison standards, and a means for comparing the plurality of comparison standards with the data of the patient to determine which comparison standard the data of the patient is close to. Furthermore, it is provided with means for selecting a plurality of comparison standards, and the comparison means can compare data of the comparison standards selected by the selection means with data of the subject.

Preferably, the data calculation means further includes means for calculating a value of data at the same time as the comparison reference data using the calculated data values at two or more points in time.

Preferably, the measuring means includes a tracking means that moves in the movement direction of each of the plurality of set motion points, specifies an area including the motion point, and outputs a coordinate signal of the motion point.

Note that the output of the diagnosis result is preferably performed by voice, and the motion to be diagnosed may be a golf swing.

[Effect]

The photographed image of the patient's movements is converted into a digital value signal, and data for comparison with a comparison standard is extracted and calculated. To extract this data, first, coordinates are extracted for each movement point set on the wrist, shoulder, club head, etc. necessary to evaluate the movement of the patient. Next, from the coordinates of each motion point, various data that can be compared with comparison standard data, such as velocity, acceleration, angular velocity, angular acceleration, or peak value, which represent the characteristics of the motion, are calculated. Then, the data obtained by this calculation is compared with the data of the comparison standard, an evaluation value is obtained based on the difference between the data of the comparison standard, and the corresponding diagnosis is outputted to the person to be diagnosed by voice or image.

〔Example〕

Embodiments of the present invention will be described below with reference to the drawings.

The embodiment will be explained using an example of golf swing diagnosis.

FIG. 1 shows a system configuration of a golf swing diagnostic device according to an embodiment of the present invention. The golf swing diagnostic device shown in FIG. 1 includes a TV camera 100 that photographs the swing of a person to be diagnosed 106, a strobe 101 attached to this TV camera 100, and images taken by this TV camera 100 that are manually processed, image processed, A processing device 103 that performs information processing such as calculations and comparisons, and a C for a monitor that displays images.
RT 102, and a speaker 10 that gives the diagnosis results, advice thereof, and procedures for abuse to the person to be diagnosed by voice.
4, and a switch 105 for performing operations such as selecting which comparison standard the person to be diagnosed would like to be diagnosed with or instructing to start measurement. Also, diagnosed person 10
A force plate 107 is provided on which the player 6 rides when swinging, and the output thereof is input to a processing device 103. In addition, the patient's body and golf head are covered with reflective tape at operating points PI, P2, and P3.
, P4, P5, and Pg are provided.

Note that the force plate 107 is a device that can measure the movement of weight, the distribution of weight to both legs, etc., and if the changes are measured and used as an auxiliary for evaluation of motion analysis, the effects of this example will be further enhanced. Can be done.

Next, FIG. 2 shows an outline of the structure of the processing section that the apparatus of this embodiment performs in the swing diagnosis process.

That is, this processing section includes an input means 21 into which data of the swing photographed by the TV camera 100 is input, and a swing controller that uses image processing technology from this data to extract data on the coordinates of the motion point that is the basis of swing analysis. The measuring means 22 extracts and calculates data such as velocity, acceleration, angular velocity, and angular acceleration for each motion point from the coordinate data obtained by the swing measuring means 22, and generates a data group that matches the comparison standard to be compared. A data calculation means 23 for calculating, a comparison standard holding means 24 for holding data of a plurality of comparison standards, a comparison judgment means 25 for comparing extracted and calculated data with comparison standard data, and a comparison standard holding means based on the comparison result. post-processing means 26 that selects the diagnostic results for each selected comparison standard held in 24 and processes them so that they can be output as audio output or image display; and output means that outputs the results as audio or image display. 27.

3rd TI! J indicates the structure of the swing measuring means 22 of this processing device 103. The swing measurement means 22 includes a sampling circuit 201 that samples the output image of the TV camera 100 using a clock signal supplied from a timing signal generation circuit 203 and converts it into a binary signal, and a binary signal output from the sampling circuit 201. a coordinate calculation circuit 202 that calculates the coordinate value of each operating point from the signal and outputs it to the CPU 205;
A window signal generation circuit 204 outputs a window signal for tracking the operation point and forming a window area through which the detected output passes, based on the position signal of the operation point given from the CPU 205, a TV camera 100, and a sampling circuit. 201, coordinate calculation circuit 202, window signal generation circuit 20
The timing signal generation circuit 203 supplies a clock signal (CLK), an X, Y coordinate signal, a vertical synchronization signal (VD), and a horizontal synchronization signal (HD) necessary for 4.

Next, FIG. 4 shows the structure of the timing signal generation circuit 203. This timing signal generation circuit 203 generates and outputs a clock signal (CLK) for sampling and image processing, a horizontal synchronization signal (VD) and a vertical synchronization signal (HD) for rask scan, and an X1Y coordinate signal. belongs to.

The clock signal output from the oscillator 301 is output as is to the sampling circuit 201 or the coordinate calculation circuit 202 and the window signal generation circuit 204. The clock signals are also led to coordinate signal generation circuits 302 that generate horizontal X coordinate signals. The output from the tip of this coordinate signal generation circuit 302 is output as a horizontal synchronization signal HD. Further, the horizontal synchronization signal HD is guided to a coordinate signal generation circuit 303 that generates each Y coordinate signal. The output from the tip of this coordinate signal generation circuit 303 is output as a vertical synchronization signal VD. This coordinate signal generation circuit 3
02 and 303 can be constructed by shift registers. Horizontal synchronization signal HD and vertical synchronization signal VD are TV camera 1
It also leads to 00.

FIG. 5 shows the structure of the window signal generation circuit 204. When the window signal generation circuit 204 tracks a plurality of operation points and detects coordinate positions, the plurality of operation points move around, so the window signal generation circuit 204 accurately tracks the movement of each operation point and detects the coordinate positions. It is for. Further, by reducing the calculation processing of coordinates other than operation points that are not used for diagnostic analysis, it is possible to reduce the calculation processing amount of the coordinate calculation circuit 202 and the calculation processing amount of the C P 0205.

This window signal generation circuit 204 is configured to output a window signal WS by ANDing a signal in the X direction and a signal in the Y direction. The X-direction signal is sent to a counter 141 to which the horizontal synchronization signal HD and the clock signal are input; Comparator (COMP) for comparing with X2 signal 142, 14
3 and the outputs of the comparators 142 and 143, the X direction signal output from the counter 141 becomes
An AND circuit 144 is provided that outputs a window signal in the X direction when 1≦X≦x2. The Y-direction signal is also the same, and includes a counter 145 to which the vertical synchronization signal VD and the clock signal CLK are input, comparators 146 and 147 that compare the Y-direction signal with Y1 and Y2 signals provided from the CPU 205, and a comparator. 146 and 147
and an AND circuit 148 that performs a logical product of the outputs of the .

Then, the AND circuit 149 takes the logical product of the outputs of the AND circuits 144 and 14B, and outputs the window signal WS to the coordinate calculation circuit 2.
The plan is to output it on 02.

An example of a window created using this window signal is shown in FIG. Motion Boin} Xl≦X≦X2, Y1≦Y≦Y2 near P
The shaded area within the frame serves as a window, and the coordinate values of the motion boin }P contained within this window are output from the coordinate calculation circuit 202. The area of this window signal moves in the moving direction as the operating point }P moves. This movement is C P
The window area is sequentially moved in accordance with the movement direction of the motion point P determined in U205.

Note that the example shown in Fig. 6 has a configuration in which one window is created, and in reality, coordinates are obtained for multiple operation points }P+''Ps, so a window signal is output for each operation point. In addition, the window signal generation circuit 204 shown in FIG.
are prepared for the set number of operation points.

FIG. 7 shows the structure around the CPU 205. The CPU 205 includes an interface circuit 401 to which the switch 105 is connected, a program memory 402 storing a processing program, a memory 403, an audio synthesis circuit 404 to which the speaker 104 is connected, a display 405 capable of displaying numbers, Each CRT 102 is connected to a CRT interface 406 via a bus. It is also connected to a coordinate calculation circuit 202 and a window signal generation circuit 204 via a bus.

Next, the operation of the apparatus of this embodiment will be explained with reference to a flowchart.

FIG. 8 shows a flowchart of the golf swing diagnostic operation in the apparatus of this embodiment.

First, prior to swing diagnosis, the person to be diagnosed selects which comparison standard will be used for the diagnosis. This selection is switch 10
This is done by operating 5. Another method for selecting a comparison standard is to insert a memory card such as an IC card in which comparison standard data is stored into the external storage input/output device of the processing device 103 according to the diagnosis patient's selection. can. As a comparison standard, swing data of a plurality of different types of golf players is prepared. For example, motion patterns are prepared that are made up of data groups that analyze the swing motions of famous golf players such as Tsuneyuki Nakajima, Shoji Ozaki, and Isao Aoki.

To explain the overall diagnostic operation, first, measurement is started, the swing of the subject is photographed using the TV camera 100, the photographed swing is measured, and the measured data is stored (step S32). Step S32
Swing characteristic data is calculated from the data measured in (Stenop S33).

The calculated feature data is compared with the selected comparison standard data (steps S35-1 to S35-n). Then, the difference with the data of the comparison standard is calculated, and the advice corresponding to each comparison standard is loaded from the memory (step S36-1-536-n), and it is converted into an audio signal and output (step S37). >. If further diagnosis is to be performed, the diagnostic operation process is performed again. Note that step S31 is a step for determining whether or not measurement has started.
Step 338 is a step for determining whether or not the process is finished.

Next, the operation of each diagnostic processing process will be explained.

The TV camera 100 photographs the patient's swing.

At this time, reflective tape is attached to the parts necessary for analyzing the patient's movements to define movement points P1 to P6. By attaching reflective tape in this way, the movement can be improved.
+ Increase the brightness of ~P6 to make it easier to extract from the image.

Further, the operation point P can also be extracted by color, and in that case, the TV camera 100 is a color TV camera. Furthermore, a color extraction circuit with a maximum number of operating points is required from the output color image.

Since the TV camera 100 moves at high speed when photographing the person to be diagnosed, it is preferable to use a strobe 101 to briefly turn on the strobe in synchronization with the video signal to capture the motion. Further, a shutter camera can also be used as the TV camera 100. In this case, the strobe 101 may be replaced with an illumination light that is always on.

The image taken by the TV camera 100 is sent to the sampling circuit 201, where it is sampled by the clock signal from the timing signal generation circuit 203 and converted into a binary signal, and the binary signal is sent to the coordinate calculation circuit 202. Sent out.

The coordinate calculation circuit 202 inputs the motion image data manually input from the sampling circuit 201 to the timing signal generation circuit 203.
The clock signal, X and Y signals input from x
Convert to 1Y coordinate signal. At this time, the window signal generation circuit 20
Based on the window signal supplied from 4, the coordinate calculation results only within the window area that occur in the image are manually input to the CPU 205. As a result, coordinate signals related to the motion points P, -P6 necessary for swing analysis are taken into the CPU 205.

Next, the processing at CP U205 will be explained.

The CPU 205 performs the swing measurement and storage, data calculation, and comparison processes performed in steps 332 to S36.

First, swing measurement and its storage processing will be explained.

FIG. 9 is a flowchart further explaining the process of step S32.

Swing measurement is performed by calculating positional coordinates for each operating point position from the operating point coordinate signal input from the coordinate calculating circuit 202 described above.

That is, the positions of the centers of gravity of each motion point } P + to P5 are calculated. This calculation of the center of gravity position of the motion point is performed by adding the X coordinate value and the Y coordinate value inputted from the coordinate calculation circuit 202 for each motion point. Furthermore, the number N of signals input as the coordinates of the motion point for each motion point is measured. Then, the average value of the coordinate values for each operating point is calculated as follows: X=ΣX/NS Y=ΣY/N, the calculated coordinate value is used as the coordinate value of the operating point, and the coordinate value for each operating point is stored in the memory 403. .

In addition, the window area for taking in the measured coordinate values is set for each motion point at the position of the motion point in the previous image, and the window region is set around the motion point and the position coordinates of that motion point. The position coordinates of are output to the window signal generation circuit 204. At this time, the coordinate position of the next operation point may be predicted by comparing the position of the previous operation point and the position of the current operation point, and the position coordinates for the window area may be output to the window signal generation circuit 204. good.

The above measurements are performed on each image from the measurement start point to the measurement end point, and coordinate values indicating the motion of each extracted motion point are stored in the memory 403.

Note that at this point, measurement of necessary data is started from the measurement trigger point. This measurement trigger point is
The trigger point can be set at the highest point of the club head, when the club angle reaches a position of 60 degrees with respect to the vertical direction, or when the club passes overhead from right to left. Further, it is possible to set a temporal timing as a trigger point, such as setting the trigger one second after pressing the start button.

Furthermore, the measurement end point is the point at which the data necessary for swing analysis is completed;
Any point on the follow-through after impact of the swing is chosen. Note that this measurement end point does not need to be set, and may be ended after a certain period of time has elapsed from the measurement trigger point.

Next, data calculations are performed to extract the characteristics of the patient's swing.

This data is for each operating point P1 to P6.
The velocity of the club head VPt, the angle of the club θ1, the angle of the arm θ2, the angular velocity of the club θ1, and the arm are calculated. Make it into a table format. Note that this table shows data only for club head coordinates PI, wrist coordinates P2, and shoulder coordinates P3.

The relationship between the operating point and the operating data in this case is explained in the 10th section.
As shown in the figure.

(Hereinafter referred to as the margin of this page) Data can be calculated from the coordinate values of the motion points l' P + to P6. The data can be calculated from the position coordinates of the motion points using the following formula.

VP ln-” Xlh X+n-+) +
(3'+fi-y+h-+)2'rlR=tan-'
[:(X2R x+h)/(y2., yen)
]'r, h=tan-' [(xsn-x2h)/(y
3n-y2n) ]D T l,, = T t −
T + - +DT2h=T2,,T2l,-1 PDT. %=DT. Il/DT2h D D T 1h= D T I,, D T + . ，
- rDDT2-=DT2I, DT2h-1 where: VP: head speed, T1: club angle, T2: arm angle, DT,: club angular velocity, DT2: arm angular velocity, PDT: angular velocity ratio, DDT. :Club angular acceleration, DDT. : Arm angular acceleration.

Next, from the data obtained in the above-mentioned table, data whose measurement time is the same as the peak time or impact time and the data held as a comparison standard is determined by calculation.

The capture of image data of the patient's movements starts from the measurement trigger point, but the point at which the patient makes an impact with the ball or the point at which acceleration peaks is not sampled and output. Therefore, it is necessary to obtain data at this peak point by calculation for comparison with reference data. In addition, it is best to provide the comparison standard data as data at a predetermined time interval from the time of impact of the ball, data at a predetermined angular interval, and the peak value of each data, so that It needs to be data.

In addition, by comparing the temporal or coordinate position of the peak head speed with the point of impact, it is possible to determine whether the timing of the swing is good or not, and also to determine the timing of the peak of the arm angular acceleration and the peak of the club's angular acceleration. By comparing ? Since it is possible to judge whether the peak is moving away from the center of rotation of the wing, it is possible to evaluate reswing by finding the peak value and its temporal position.

This peak and comparison time point data can be obtained by interpolating data from three of the above data points.

For example, the peak time of angular velocity can be determined using the following equation.

Club angular velocity DT. Assuming that ■ is the maximum value, it is interpolated by . Similarly, arm angular velocity DT. ．． , club angular acceleration D
DT. ．． , the peak time of the arm angular acceleration DDT2fi can be determined. The peak value at this peak time can be obtained by interpolating data before and after that time. This data interpolation can be performed by inserting the data at the three points described above using parabolic approximation, or can also be performed using circular arc approximation or linear calculation.

Moreover, the value at the time of impact is the time point X, with the coordinate position (xo, YQ) of the head addressed before the start of measurement as the coordinate at the time of impact. It is possible to select three points with coordinates close to , and obtain each data of the three points by parabolic approximation. Furthermore, by interpolating the above-mentioned peak value instead of the address position, the coordinate position at which the head speed has a peak value can be found, and that time point can be similarly determined as the impact time point.

An example in which this interpolation is performed using a parabola will be explained.

As shown in Figure 11, let the parabola be y=ax2+bx+c-{1),
Three points of data d 11-1 , dl'l , a,,. 1
is do-+ = a Xl%-12+ b Xy,-
+ + C -{2)dh== a xr12 +
bx. , + c − (a) dart”
a Xn++” + b X nil + C −
-(4), Xo where XI, -1 < X6 < Xg+1 above
Point data d. For d, find a, b, and c from the simultaneous equations (2) to (4). can be found.

Further, calculations for data at the same time as the comparison reference data are similarly performed by interpolation, linear approximation, or other calculations.

Next, a comparison is made with the data of the selected comparison standard.

As comparison standard data, data on the characteristic motion of the swing of a professional golfer who is used as a practice model is given in the form of data corresponding to the above-mentioned table.

Once the above-mentioned data of the person to be diagnosed has been extracted and calculated, the data of the selected comparison standard is read out, and the distance from the data of the person to be diagnosed is determined.

This distance is determined by determining the difference between the head speed, arm angular velocity, acceleration, angular velocity ratio, etc. at each point in time of the comparison standard, and calculating the difference between the respective data as the sum of squares. This makes it possible to determine how much the swing data of the person to be diagnosed differs from the data of the comparison standard.

Regarding the distance of this data, each piece of data is weighted because the point to be focused on in the diagnosis differs depending on which professional golfer is selected as the comparison standard. For example, if "Shoji Ozaki" is set as a target, the player wants to make a diagnosis focusing on flight distance, so data that affects the flight distance of the ball is weighted heavily. Furthermore, when aiming for ``Isao Aoki,'' the diagnosis focuses on how the wrist is used, rather than distance, so wrist movements are weighted.

The weighting in comparing the data with this comparison standard is
Weighting variables can be determined using various statistical methods, such as multivariate analysis, from data collected over a number of times by a particular professional golfer, such as Isao Aoki, or data collected from the swings of a large number of professional golfers. can.

When the distance between the obtained motion data and the comparison reference data, that is, the evaluation value is given by this comparison, advice is output according to the evaluation value. This advice is prepared for each comparison standard, and the advice given differs depending on the target comparison standard. This is because the check items for the swing to be diagnosed differ depending on the target professional golfer. For example, if the comparison standard is "Masashi Ozaki", you will be checking arm swings and body twists to increase the flight distance of the ball.
This is because it is preferable to output advice that focuses on this point.

Next, an example of advice outputted in accordance with the comparison standard and the evaluation value obtained by the comparison will be explained.

Here, in order to simplify the explanation, the angular velocity PDT at the time of impact and the head speed VP at the time of impact obtained by the calculation using the above-mentioned interpolation will be explained. An example will be explained in which advice is output based on two data.

The data obtained by analyzing the swing of the person being diagnosed is PDT =
0.6 VP. =45 (m/s).

At this time, as a comparison standard, the angular velocity ratio ml and head speed m2 at impact for "Isao Aoki" and "Shoji Ozaki" are given as shown in Table 2 below, and the weight ω of the weighting is shown in Table 3. Suppose that it is given as follows.

Table 2 Table 3 Here, the data of the person to be diagnosed is compared with the data of the comparison standard, and the overall evaluation score A is calculated using the following formula.

Table 4 m, m, Here, when "Isao Aoki" is selected as the target comparison standard, the total score is 81 points, and when "Shoji Ozaki" is selected, the total score is 61 points. .

And, as advice, in the case of "Isao Aoki", "The overall evaluation score is 8l points. It's almost a target swing. Please turn your wrist a little faster.

The flight distance is sufficient. " is output, and in the case of "Masashi Ozaki", "The overall evaluation score is 65 points. I still have a long way to go to achieve my goal of swinging. Please rotate your hips a little faster. Please shake it up a little more. ' is output.

The sentence following the score in the first sentence of this advice output is an evaluation sentence corresponding to the overall evaluation score. This sentence is given in the form of Table 4 below according to the overall evaluation score.

In addition, the next sentence of the advice output is given according to the comparison value of head speed at impact for each type of comparison standard, as shown in Table 5 below, and is output based on the difference with the data of the comparison standard. Ru.

(The following is the margin of this page) Table 5 Table 6 The last sentence of the advice example is advice on how to use the wrists and hips, and depending on the comparison value with the angular acceleration at the time of impact, as shown in Table 6 below. It is given.

(Hereinafter, the margin of this page) In this way, even if the data of the person being diagnosed is the same, evaluation and advice are output according to the target type.

The advice obtained through the comparison with the comparison standard is converted into an audio signal by the audio synthesis circuit 404, and then output from the speaker 104 to the person to be diagnosed. Also,
It can be displayed as characters or images from the display 405 or the CRT 102.

Next, another embodiment will be described.

In the example described above, one of the target comparison criteria is selected,
An evaluation value is calculated based on the difference from the data of the comparison standard, and advice is given according to the evaluation value, whereas in this other embodiment, data of a plurality of comparison standards, which are various swing patterns, are stored. Then, by comparing the data of the plurality of comparison standards with the data of the swing of the person to be diagnosed, it is determined which comparison standard pattern the swing of the person to be diagnosed is closer to.

Determining which comparison standard pattern the swing belongs to is not by comparing all the data, but by determining which pattern the swing belongs to, such as the peak value in the data and the temporal correlation of the peak values. This can be done by extracting a data set and determining which comparison standard data set the data set is close to. Then, an evaluation value is obtained which is the difference between the closest comparison standard and the data of the comparison standard, and advice corresponding to the closest comparison standard is given.

In this example, instead of a comparison standard that is a target as multiple comparison standards, a comparison standard that is an example of a bad movement is also prepared, and it is possible to first determine which pattern the patient's swing is. It is also possible to output what type of swing the diagnostician has, and output advice corresponding to that type.

In the above-described embodiment, the comparison of data with the comparison standard is performed by comparing the head speed, club angle, arm angle, club angular velocity, angular velocity ratio, etc. obtained as a result of motion analysis with the data of the comparison standard. However, comparisons can be made with other data.

For example, the evaluation can be performed using the ratio of the head speed at the time of impact to the peak value of the head speed, or the ratio of the club angular velocity at the time of impact to the maximum club angular velocity. Furthermore, the time ratio of the peak values of the speeds of the club head, wrists, and arms appearing relative to the time of impact can be evaluated. This is because swing evaluation is to evaluate the balance in the swing and the lean movement in the swing form, so it is not just an evaluation of speed and acceleration data, but if it can evaluate the swing form, it should be evaluated. This is because it may be performed using suitable data.

In the above-described embodiment, advice is given only on the swing at the time of diagnosis by comparing it with a comparison standard. Store the data and diagnostic results on a floppy disk, etc.
Each time a diagnosis is made, the data and evaluation from the previous time are compared, and the results of the comparison are expressed in terms of previous results, such as ``My arm swing is better than last time.'' or ``My wrist rotation is improving.'' It is also possible to output diagnostic results compared to the swing.

Although the above-mentioned embodiment shows an example of a golf swing diagnostic device, the motion diagnostic device of the present invention can be used not only for swing diagnosis but also for various motion analysis diagnoses. For example, it can be used for form analysis and motion analysis in rehabilitation medicine.

〔Effect of the invention〕

As described above, according to the present invention, it is possible to analyze the motion and immediately display the diagnostic results in the form of audio or images.

Therefore, it is possible to provide a diagnosis result while the patient still has a sense of movement, so it is possible to provide a diagnostic device that improves the effectiveness of teaching the person to be diagnosed. Furthermore, since the diagnoses given can be made different depending on a plurality of comparison standards, it is possible to give optimal advice for each target model.

Furthermore, since it is possible to determine which pattern the diagnosis subject's movement type belongs to and give advice corresponding to that pattern, there is an effect that guidance can be provided according to the diagnosis subject's movement type.

Furthermore, motions such as swinging can be objectively evaluated regardless of body size.

[Brief explanation of drawings]

FIG. 1 is a schematic diagram of an apparatus according to an embodiment of the present invention. FIG. 2 is a configuration diagram of the processing section of the apparatus according to the embodiment. FIG. 3 is a configuration diagram of the swing measuring means of the embodiment. FIG. 4 is a structural diagram of an embodiment of the timing signal generation circuit. FIG. 5 is a block diagram of an embodiment of the window signal generation circuit. Figure 6 is an example of a window. FIG. 7 is a diagram of the peripheral configuration of the CPU. FIG. 8 is an operational flowchart of the embodiment. FIG. 9 is an operational flowchart of the embodiment. FIG. 10 is a diagram explaining the relationship between operation points and operation data. FIG. 11 is a diagram explaining interpolation. 100...TV camera, lO1...strobe, 10
2...CRT, 103...processing device, 104...
Speaker, 105... Switch, 106... Diagnosed person, 201... Sampling circuit, 202... Coordinate calculation circuit, 203... Timing signal generation circuit, 20
4... Window signal generation circuit, 205... CPU, 301
... Oscillator, 302, 303... Coordinate signal generation circuit, 401... Interface circuit, 402... Program memory, 403... Memory, 404... Audio synthesis circuit, 405... Display Equipment, 406...CRT
interface. ,￥11 Diagram

Claims (1)

[Scope of Claims] 1. Photographing means for photographing the motions of a person to be diagnosed; sampling means for sampling the motion images photographed by the photographing means and converting them into digital signals; and images converted to the digital signals. In a motion diagnosis device equipped with a measuring means for extracting the coordinates of each of a plurality of motion points set for motion analysis of a diagnosed person from the data, from the coordinates of each motion point extracted by the measuring means. a data calculation means for calculating data representing the characteristics of a motion; a comparison means for comparing the data calculated by the data calculation means with data of a comparison standard to obtain an evaluation value; An operation diagnostic device comprising an output means for selecting and outputting a corresponding diagnostic result according to an evaluation value. 2. Claim 1 comprising a plurality of comparison standards, and means for comparing the plurality of comparison standards with the data of the patient to determine which comparison standard the data of the patient is close to.
The operation diagnostic device described in . 3. The motion diagnosis apparatus according to claim 1, further comprising means for selecting a plurality of comparison standards, and wherein the comparison means compares the data of the comparison standards selected by the selection means and the data of the subject. 4. According to any one of claims 1 to 3, the data calculation means further comprises means for calculating a value of data at the same time as the comparison reference data using the calculated data values at two or more points in time. operation diagnostic device. 5. Claims 1 to 4 in which the measuring means includes a tracking means that moves in the movement direction of each of the plurality of set operation points, specifies an area including the operation point, and outputs a coordinate signal of the operation point. The operation diagnostic device according to any one of. 6. The operation diagnostic device according to any one of claims 1 to 5, wherein the output of the diagnosis result is performed by voice. 7. Claim 1, wherein the motion to be diagnosed is a golf swing.
7. The operation diagnostic device according to any one of 6 to 6.