Sport skill measurement method, system, and program therefor

Abstract

To provide a sport skill evaluation method, system, and program capable of scientifically and objectively performing evaluation along a kinematic theory of W spin.SOLUTION: A first detection signal of an acceleration, an angular speed, and an angle of first spin of W spin is transmitted from a first motion sensor attached to a rotation part of a person to be measured, a second detection signal of an acceleration, an angular speed, and an angle of second spin of the W spin is transmitted from a second motion sensor attached to an upper arm part or a thigh part, these detection signals are received and processed with a set acquisition time, similarities among acceleration spin ideal data, angular speed spin ideal data, and angle spin ideal data and each acceleration component, each angular speed component, and an angle of the processed first detection signal and the processed second detection signal are compared and evaluated, then comprehensive determination is made, and a degree of completion of a skill related to a W spin motion of the person to be measured is scientifically measured.SELECTED DRAWING: Figure 8

Description

Technical Field

[0001] The present invention relates to a sports skill measurement method, system, and program therefor that measure the degree of improvement (completion level) of the skills of a person (subject) who engages in various sports such as baseball and golf, and contribute to the improvement of sports skills. In particular, the present invention relates to a sports skill measurement method, system, and program therefor that can scientifically quantify and objectively evaluate the completion level of a W-spin motion, which is also called a double helix motion, by three-dimensionally comparing it with previously obtained ideal W-spin data.

Background Art

[0002] At sports sites such as baseball and tennis, and gyms, various training and practice attempts are repeated daily for the purpose of improving motor skills. For example, FIG. 1 shows the pitching form of a baseball pitcher, and improvements such as ball speed and ball sharpness are sought through form analysis and motion analysis. Among them, the principle of any end-point acceleration motion of a person (finger tip acceleration or toe tip acceleration) is, as shown in FIG. 2, a rotational motion with the spine as the axis of rotation (first spin (also called 1st spin)) and the rotation of the upper arm (second spin of the upper limb) or the thigh (second spin of the lower limb (also called 2nd spin)). The theory that the combination of these two motions determines the quality of the skill, that is, the theory of W-spin, is widely known (see, for example, Non-Patent Documents 1 and 2).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Non-Patent Documents

[0004]

Non-Patent Document 1

Non - Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0005] Although it is known that the theory of W Spin is beneficial for sports improvement, conventionally, it has not been possible to scientifically and objectively determine the degree of achievement (completion) of the W Spin motion, and in reality, it largely depends on the personal and arbitrary judgments and considerations of skilled coaches and instructors.

[0006] Therefore, those actually engaged in sports cannot objectively and specifically judge to what extent they are approaching the ideal motion of the W Spin theory, and they also cannot make a qualified judgment on what and how to correct. From such a situation, the emergence of technical means capable of scientifically and objectively judging the completion degree of the W Spin motion is strongly desired.

[0007] The present invention has been made under the above - mentioned circumstances, and the object of the present invention is to provide a sports skill evaluation method, system, and program therefor that can scientifically and objectively perform an evaluation in accordance with the motion theory of W Spin.

Means for Solving the Problems

[0008] The present invention relates to a method for measuring sports skills. To achieve the above object of the present invention, from a first motion sensor attached to a rotating part with the spine of a subject performing sports as the axis of rotation, for the XYZ-orthogonal three axes, the acceleration, angular velocity, and angle of the first spin of the W spin are detected and a first detection signal is transmitted. From a second motion sensor attached to the upper arm or thigh of the subject, for the XYZ-orthogonal three axes, the acceleration, angular velocity, and angle of the second spin of the W spin are detected and a second detection signal is transmitted. Within a set acquisition time, the first detection signal and the second detection signal are received and processed, the processed first detection signal and the processed second detection signal are stored, and the acceleration spin ideal data, angular velocity spin ideal data, and angle spin ideal data for the XYZ-orthogonal three axes that constitute the pre-stored W spin ideal data are adjusted with respect to the time axis with the processed first detection signal and the processed second detection signal. For the XYZ-orthogonal three axes, a first comparative evaluation is performed to measure the similarity between the acceleration spin ideal data and each acceleration component of the processed first detection signal and the processed second detection signal. For the XYZ-orthogonal three axes, a second comparative evaluation is performed to measure the similarity between the angular velocity spin ideal data and each angular velocity component of the processed first detection signal and the processed second detection signal. For the XYZ-orthogonal three axes, a third comparative evaluation is performed to measure the similarity between the angle spin ideal data and each angle component of the processed first detection signal and the processed second detection signal. The comparative evaluation results of the first comparative evaluation, the second comparative evaluation, and the third comparative evaluation are comprehensively determined, and based on the comprehensive determination, the degree of completion of the skills related to the W spin movement of the subject is measured.

[0009] Furthermore, the present invention relates to a sports skill measurement system. The above object of the present invention is achieved by measuring the proficiency of the W-spin motion of the subject by being attached to a rotating part with the spine of the subject performing sports as the axis of rotation, detecting the acceleration, angular velocity, and angle of the first spin of the W-spin and transmitting a first detection signal; a second motion sensor attached to the upper arm or thigh of the subject, detecting the acceleration, angular velocity, and angle of the second spin of the W-spin and transmitting a second detection signal; a detection processing unit that receives and processes the first detection signal and the second detection signal; a memory that stores acceleration spin ideal data, angular velocity spin ideal data, and angle spin ideal data that constitute W-spin ideal data, and stores the processed first detection signal and the processed second detection signal processed by the detection processing unit; a time axis adjustment unit that adjusts the time axes of the processed first detection signal and the processed second detection signal with respect to the time axes of the acceleration spin ideal data, the angular velocity spin ideal data, and the angle spin ideal data; a first comparison and evaluation unit that compares and evaluates the similarity of each acceleration component of the adjusted first detection signal and the adjusted second detection signal time-axis adjusted by the time axis adjustment unit with respect to the acceleration spin ideal data; a second comparison and evaluation unit that compares and evaluates the similarity of each angular velocity component of the adjusted first detection signal and the adjusted second detection signal with respect to the angular velocity spin ideal data; a third comparison and evaluation unit that compares and evaluates the similarity of each angle component of the adjusted first detection signal and the adjusted second detection signal with respect to the angle spin ideal data; a comprehensive determination unit that comprehensively determines the comparison and evaluation results of the first comparison and evaluation unit, the second comparison and evaluation unit, and the third comparison and evaluation unit; and an output unit that outputs the determination result of the comprehensive determination unit.

[0010] Furthermore, the present invention relates to a program for measuring the proficiency of skills related to W spin movement for sports skill measurement. The above object of the present invention is to receive and process the acceleration, angular velocity, and angle of the first spin of W spin for XYZ-orthogonal three axes, which are detected and transmitted by a first motion sensor attached to a rotating part with the spine of a subject performing sports as the rotation axis, and to receive and process the acceleration, angular velocity, and angle of the second spin of the W spin for XYZ-orthogonal three axes, which are detected and transmitted by a second motion sensor attached to the upper arm or thigh of the subject, and to store the processed first detection signal and the processed second detection signal that have been received and processed, and to perform time axis adjustment between the acceleration spin ideal data, angular velocity spin ideal data, and angle spin ideal data for XYZ-orthogonal three axes that constitute the pre-stored W spin ideal data, and the processed first detection signal and the processed second detection signal, and to perform a first comparative evaluation for measuring the similarity between the acceleration spin ideal data and each acceleration component of the processed first detection signal and the processed second detection signal for XYZ-orthogonal three axes, and to perform a second comparative evaluation for measuring the similarity between the angular velocity spin ideal data and each angular velocity component of the processed first detection signal and the processed second detection signal for XYZ-orthogonal three axes, and to perform a third comparative evaluation for measuring the similarity between the angle spin ideal data and each angle component of the processed first detection signal and the processed second detection signal for XYZ-orthogonal three axes, and to perform a step of comprehensively determining the comparative evaluation results of the first comparative evaluation, the second comparative evaluation, and the third comparative evaluation. This is achieved by a program that executes these steps.

Advantages of the Invention

[0011] According to the sports skill measurement method, system, and program of the present invention, in accordance with the motion theory of W spin in sports such as baseball and golf, the proficiency of the subject's sports skills can be scientifically and specifically analyzed. Therefore, skill evaluation is not based on the personal, self-righteous, and arbitrary judgment of a coach or the like, but it is possible to make an objective and scientific judgment based on the W spin ideal data.

[0012] In addition, in accordance with the kinematic theory of W spin, analysis is performed three-dimensionally based on acceleration, angular velocity, and angle with respect to the XYZ orthogonal three axes of the subject to be measured, so that an accurate evaluation can be obtained for all movement operations.

Brief Description of the Drawings

[0013]

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Embodiments for Carrying Out the Invention

[0014] The present invention scientifically and objectively determines the degree of achievement (completion) of the W-spin theory, which states that the principle of any end-part accelerating motion of a person engaged in sports or exercise consists of the combination of a rotational motion (first spin (1st spin)) with the spine as the axis of rotation and a rotational motion (second spin (2nd spin)) of the upper arm (second spin of the upper limb) or thigh (second spin of the lower limb). By approaching the W-spin motion theory, the sports skills of actual sports players (subjects to be measured), such as ball speed and ball spin, are surely improved.

[0015] Figure 3 shows an external view example of the motion sensor 10 used in the present invention. It has a rectangular thin flat plate structure with a built-in battery, is small and lightweight, and band 11 for attaching to the waist or upper arm of the person to be measured is provided on both sides. A power switch 12 is provided on the upper surface, and a display lamp 13 for indicating that the motion sensor 10 is actually operating is provided. A commercially available 9-axis sensor can be used as the motion sensor 10, which is a sensor that detects the acceleration α (αx, αy, αz) of the XYZ-3 axes, the angular velocity ω (ωx, ωy, ωz) of the XYZ-3 axes, and the angle θ (θx, θy, θz) of the XYZ-orthogonal 3 axes. From the motion sensor 10, each acceleration αx, αy, αz, each angular velocity ωx, ωy, ωz, and each angle θx, θy, θz of the attached part are continuously transmitted wirelessly or wiredly to the measuring device (100) automatically. An actual 9-axis sensor detects and outputs the acceleration α, the angular velocity ω, and the orientation. Since the angle θ is an integrated value of the angular velocity ω, the angle θ can be obtained by integrating the angular velocity ω. The integration can be performed within the motion sensor 10 or may be obtained externally. In this example, the case of obtaining it externally will be described. The angle θ is used as an index representing the depth of twist in the theory of W spin.

[0016] Furthermore, in this example, the motion sensor 10 is attached to the person to be measured with the band 11, but it is also possible to attach and wear it with a removable adhesive or the like. Also, in this example, as shown in FIGS. 4 and 5, the vertical axis (up and down direction) of the person to be measured 1 is set as the Y axis, the front and back direction is set as the X axis, and the left and right direction is set as the Z axis, but it can be changed as appropriate.

[0017] In the present invention, the motion sensor 10 is attached to the waist related to the first spin (1st spin) of the W spin with a band 11 as shown in FIG. 4, and the motion sensor 20 is attached to the upper arm related to the second spin (2nd spin) of the W spin with a band 21 as shown in FIG. 5. The motion sensors 10 and 20 are small and lightweight for wearing on the body. The motion sensors 10 and 20 have the same configuration and the same function, but may have different sizes. In addition, the part related to the second spin includes the thigh in addition to the upper arm. In this case, the motion sensor 20 is attached to the thigh, but in this embodiment, the case of attaching to the upper arm will be described.

[0018] As shown in FIGS. 4 and 5, the motion sensors 10 and 20 may be directly attached to the skin of the subject 1, but this is not a desirable attachment in terms of hygiene or mental state. Therefore, in practice, it is better to attach and measure on the uniform as shown in FIG. 6. At the time of measurement, the power switches 11 and 12 of the motion sensors 10 and 20 are both turned on.

[0019] In this example, the motion sensors 10 and 20 transmit the detected data wirelessly such as by radio waves or infrared rays, but a wired connection may also be used, or an offline method using a USB memory may also be used. In the case of using a USB memory, the motion sensors 10 and 20 have a built-in memory, the data stored in the memory is transferred to the USB memory, and the USB memory is read into the measuring device (100) and used.

[0020] FIG. 7 schematically shows the overall state of sports skill measurement using the system of the present invention. For the subject 1 wearing the motion sensors 10 and 20, the start and end of the motion (from startup to end) and the operation status of the measurer 2 are observed. A camera 30 for detecting the release of the pitcher's ball by image analysis is installed at a high place such as the ceiling. An operation unit 200 is installed near the measurer 2, and a measuring device 100 that is wired or wirelessly linked to the operation unit 200 is installed. A display unit 40 for displaying data, determination results, the video of the camera 30, etc., and a printer 50 for printing and outputting data, determination results, etc. are connected to the measuring device 100. Another measurer may be near the measuring device 100, or the measurer 2 may measure alone.

[0021] In the case of a pitcher as in this example, the release of the ball is detected by image analysis. In tennis, table tennis, etc., the impact of the ball on the racket is detected, and in golf, the impact of the ball on the club head is detected. In the W spin theory, the time difference between the release of the ball or the impact of the ball and the peak or valley of the second spin is emphasized.

[0022] An example of the configuration of the measuring device 100 is shown in FIG. 8. The motion sensor 10 related to the first spin has a wireless transceiver 14, and the motion sensor 20 related to the second spin has a wireless transceiver 21. Information such as detection signals and operation instructions, and data are transmitted and received wirelessly between the measuring device 100 and the transceiver 102. The measuring device 100 includes a CPU (Central Processing Unit, including MPU (Micro Processor Unit) and MCU (Micro Controller Unit), etc.) 101 for overall control. The CPU 101 is connected to an input unit 107 such as a mouse for the measurer 2 to give instructions through the operation unit 200 or directly, a transceiver 102 for wireless communication with the motion sensors 10 and 20, a memory 103 for storing programs, data, and information, a display control unit 104 for displaying the video of the camera 30, the determination result, etc. on the display unit 40, an output unit 105 for outputting data to a printer 50, etc., a receiving unit 106 for activating the camera 30 according to the instruction of the measurer 2 and capturing the video of the camera 30, an image analysis unit 109 for processing the video data from the camera 30 and performing image analysis, etc., and a release (impact) detection unit 108 for detecting the release (or impact) of the ball in cooperation with the image analysis unit 109, which are interconnected.

[0023] In addition, the CPU 101 is connected to a detection processing unit 110 for taking in the detection data from the motion sensors 10 and 20 and performing processing such as waveform processing and digital conversion processing, an adjustment unit 111 for synchronizing the operations of the motion sensors 10 and 20 and the camera 30 and adjusting the time axis with the ideal W-spin data stored, a data analysis unit 120 for processing and analyzing the detection of peaks, interval times, change rates, etc. of the detection data digitally processed by the detection processing unit 110, and an evaluation determination unit 130 for evaluating the data analyzed by the data analysis unit 120 and comparing it with the ideal W-spin data stored in the memory 103 in advance for evaluation determination. The data analysis unit 120 also determines the start time and end of the signal data.

[0024] An example of the configuration of the detection processing unit 110 is shown in FIG. 9, which includes a data acquisition unit 111-1 that inputs the accelerations αx1, αy1, αz1 of the first spin from the motion sensor 10 and acquires data during the acquisition time GT, a data acquisition unit 111-2 that inputs the accelerations αx2, αy2, αz2 of the second spin from the motion sensor 20 and acquires data during the acquisition time GT, a data acquisition unit 112-1 that inputs the angular velocities ωx1, ωy1, ωz1 of the first spin from the motion sensor 10 and acquires data during the acquisition time GT, a data acquisition unit 112-2 that inputs the angular velocities ωx2, ωy2, ωz2 of the second spin from the motion sensor 20 and acquires data during the acquisition time GT, an integration unit 113-1 that inputs the angular velocities ωx1, ωy1, ωz1 of the first spin from the motion sensor 10 and integrates data during the acquisition time GT, and an integration unit 113-2 that inputs the angular velocities ωx2, ωy2, ωz2 of the second spin from the motion sensor 20 and integrates data during the acquisition time GT. The acquisition time GT is the time used for skill measurement, and an appropriate time is set and input from the operation unit 200 by the measurer 2.

[0025] A signal value detection unit 114-1 that digitizes the accelerations αx1, αy1, αz1 from the data acquisition unit 111-1 and detects a signal value SG11 including the start of change, waveform, each peak, and minimum value (valley); a signal value detection unit 114-2 that digitizes the accelerations αx2, αy2, αz2 from the data acquisition unit 111-2 and detects a signal value SG12 including the start of change, waveform, each peak, and minimum value (valley); a signal value detection unit 115-1 that digitizes the angular velocities ωx1, ωy1, ωz1 from the data acquisition unit 112-1 and detects a signal value SG21 including the start of change, waveform, each peak, and minimum value (valley); a signal value detection unit 115-2 that digitizes the angular velocities ωx2, ωy2, ωz2 from the data acquisition unit 112-2 and detects a signal value SG22 including the start of change, waveform, each peak, and minimum value (valley); a signal value detection unit 116-1 that digitizes the angles θx1, θy1, θz1 from the integration unit 113-1 and detects a signal value SG31 including the start of change, waveform, each peak, and minimum value (valley); and a signal value detection unit 116-2 that digitizes the angles θx2, θy2, θz2 from the integration unit 113-2 and detects a signal value SG32 including the start of change, waveform, each peak, and minimum value (valley).

[0026] Note that the timing of digitization can be changed as appropriate.

[0027] Further, the detection processing unit 110 includes a composite output unit 117-1 that inputs and composites the signal values SG11 and SG12 related to acceleration from the signal value detection unit 114-1 and the signal value detection unit 114-2, a composite output unit 117-2 that inputs and composites the signal values SG21 and SG22 related to angular velocity from the signal value detection unit 115-1 and the signal value detection unit 115-2, and a composite output unit 117-3 that inputs and composites the signal values SG31 and SG32 related to angle from the signal value detection unit 116-1 and the signal value detection unit 115-2. The composite acceleration data SGα from the composite output unit 117-1 is stored in the acceleration data storage unit 103-1 in the memory 103, the composite angular velocity data SGω from the composite output unit 117-2 is stored in the angular velocity data storage unit 103-2 in the memory 103, and the composite angle data SGθ from the composite output unit 117-3 is temporarily stored in the angle data storage unit 103-3 in the memory 103.

[0028] FIG. 10 shows a configuration example of the memory 103, the data analysis unit 120, and the evaluation determination unit 130. In the memory 103, as ideal data based on the kinematic theory of the W spin, the acceleration ideal data 103α of the first spin and the second spin, the angular velocity ideal data 103ω of the first spin and the second spin, and the angle ideal data 103θ of the first spin and the second spin are stored for each of the X, Y, and Z axes. As shown in FIG. 11(A), for the X-axis ideal data of the acceleration ideal data 103α, the 2nd spin forms a large valley immediately after release and then immediately reaches a large peak. As shown in FIG. 11(B), for the Y-axis ideal data, the 2nd spin forms a large peak at the time of release, immediately reaches a large valley, and then immediately reaches a large peak again. As shown in FIG. 11(C), for the Z-axis ideal data, the 2nd spin forms a small valley immediately before release, forms a large peak immediately after release, and then reaches a valley and a peak again immediately after that. In contrast, the ideal data of the 1st spin shows relatively small changes for all of the X, Y, and Z axes. As the memory data of the acceleration ideal data 103α, all of the waveform data in FIGS. 11(A) to (C) may be used, or representative values necessary for evaluation determination as shown in FIG. 12 may be used.

[0029] As shown in Fig. 13(A), for the X-axis ideal data of the ideal angular velocity data 103ω, the 2nd spin forms a large peak immediately before release, forms a valley at the time of release, reaches a large peak immediately afterwards, and then encounters a large valley and peak again. The 1st spin forms a small peak at the time of release, but there is no significant change. As shown in Fig. 13(B), for the Y-axis ideal data, the 1st spin reaches a peak immediately before release and then gradually decreases, while the 2nd spin forms a small valley immediately before release, then increases, reaches a large peak value M while forming a small valley immediately after release, and then reaches a large valley again immediately afterwards. As shown in Fig. 13(C), for the Z-axis ideal data, the 1st spin forms a small peak immediately before release, then decreases, and forms a small peak again. In contrast, the 2nd spin forms a small valley immediately before release, then increases, forms a small valley immediately after release and then forms a peak, and then decays. As the memory data of the ideal angular velocity data 103ω, it may be all the waveform data in Figs. 13(A) to (C), or it may be representative values necessary for the evaluation determination as shown in Fig. 14.

[0030] As shown in Fig. 15(A), for the X-axis ideal data of the ideal angle data 103θ, the 1st spin remains with small changes, while the 2nd spin forms a large valley immediately before release, reaches a large peak after release, and then decays. As shown in Fig. 15(B), for the Y-axis ideal data, the 1st spin forms a large peak before release, reaches a small valley immediately before release, and forms a small peak immediately after release, while the 2nd spin forms a large valley immediately before release and forms a large peak immediately after release. Also, as shown in Fig. 15(C), for the Z-axis ideal data, the 1st spin forms a large valley before release, then increases, forms a peak after release, and then decreases, while the 2nd spin forms two small valleys before release, then increases, forms a peak after release, and then decays. As the memory data of the ideal angle data 103θ, it may be all the waveform data in Figs. 15(A) to (C), or it may be representative values necessary for the evaluation determination as shown in Fig. 16.

[0031] FIG. 17 shows a configuration example of the data analysis unit 120 with respect to the X-axis. The 1st acceleration ideal data 103αx-1 (the 1st spin data in FIG. 11(A)) in the memory 103 is input to the time axis adjustment unit 121x-1, the 2nd acceleration ideal data 103αx-2 (the 2nd spin data in FIG. 11(A)) is input to the time axis adjustment unit 121x-2, and the data in the acceleration data storage unit 103-1 is input to the time axis adjustment units 121x-1 and 121x-2. Also, the 1st angular velocity ideal data 103ωx-1 (the 1st spin data in FIG. 13(A)) in the memory 103 is input to the time axis adjustment unit 122x-1, the 2nd angular velocity ideal data 103ωx-2 (the 2nd spin data in FIG. 13(A)) is input to the time axis adjustment unit 122x-2, and the data in the angular velocity data storage unit 103-2 is input to the time axis adjustment units 122x-1 and 122x-2. Further, the 1st angle ideal data 103θx-1 (the 1st spin data in FIG. 15(A)) in the memory 103 is input to the time axis adjustment unit 123x-1, the 2nd angular velocity ideal data 103θx-2 (the 2nd spin data in FIG. 15(A)) is input to the time axis adjustment unit 123x-2, and the data in the angle data storage unit 103-3 is input to the time axis adjustment units 123x-1 and 123x-2. The release signal RS detected by the release detection unit 108 is input to the time axis adjustment units 121x-1 to 123x-2 and is used as a reference for time axis adjustment.

[0032] The 1st acceleration data adjusted by the time axis adjustment unit 121x-1 is input to the 1st acceleration comparison unit 124x-1, and the comparison result CMαx1 is output. The 2nd acceleration data adjusted by the time axis adjustment unit 121x-2 is input to the 2nd acceleration comparison unit 124x-2, and the comparison result CMαx2 is output. The 1st angular velocity data adjusted by the time axis adjustment unit 122x-1 is input to the 1st angular velocity comparison unit 125x-1, and the comparison result CMωx1 is output. The 2nd angular velocity data adjusted by the time axis adjustment unit 122x-2 is input to the 2nd angular velocity comparison unit 125x-2, and the comparison result CMωx2 is output. Also, the 1st angle data adjusted by the time axis adjustment unit 123x-1 is input to the 1st angle comparison unit 126x-1, and the comparison result CMθx1 is output. The 2nd angle data adjusted by the time axis adjustment unit 123x-2 is input to the 2nd angle comparison unit 126x-2, and the comparison result CMθx2 is output. The comparison results CMαx1 and CMαx2 are input to the evaluation determination unit 130 as the comparison result CMαx. The comparison results CMωx1 and CMωx2 are input to the evaluation determination unit 130 as the comparison result CMωx. The comparison results CMθx1 and CMθx2 are input to the evaluation determination unit 130 as the comparison result CMθx.

[0033] Figure 17 shows the analysis unit for the X-axis, but the same configuration also applies to the Y-axis and Z-axis. The acceleration comparison results CMαy and CMαz, the angular velocity comparison results CMωy and CMωz, and the angle comparison results CMθy and CMθz are output, and all are input to the evaluation determination unit 130.

[0034] The configuration of the evaluation determination unit 130 is shown in FIG. 18. The acceleration comparison results CMαx, CMαy, and CMαz from the data analysis unit 120 are input to the acceleration evaluation unit 131, the angular velocity comparison results CMωx, CMωy, and CMωz from the data analysis unit 120 are input to the angular velocity evaluation unit 132, and the angle comparison results CMθx, CMθy, and CMθz from the data analysis unit 120 are input to the angle evaluation unit 133. The evaluation result EVα from the acceleration evaluation unit 131 is input to the acceleration determination unit 134, the evaluation result EVω from the angular velocity evaluation unit 132 is input to the angular velocity determination unit 135, and the evaluation result EVθ from the angle evaluation unit 133 is input to the angle determination unit 136. The acceleration determination result JRα determined by the acceleration determination unit 134, the angular velocity determination result JRω determined by the angular velocity determination unit 135, and the angle determination result JRθ determined by the angle determination unit 136 are input to the comprehensive evaluation unit 137, and the comprehensive evaluation unit 137 outputs a comprehensive determination result JR based on the acceleration determination result JRα, the angular velocity determination result JRω, and the angle determination result JRθ.

[0035] In such a configuration, the overall operation example will be described with reference to the flowchart of FIG. 19.

[0036] First, prior to measurement, environmental settings as shown in FIG. 7 are performed, and the motion sensors 10 and 20 are attached to the subject 1 as shown in FIGS. 4 to 6, and the power switches 12 and 22 are turned on to activate the sensors (step S1). Thereafter, startup processing necessary for measurement is performed (step S2), acceleration data of the first spin is input from the motion sensor 10 (step S10), angular velocity data is input (step S11), and the angular velocity data is integrated by the integration unit 113-1 to calculate angle data (step S12). Also, acceleration data of the second spin is input from the motion sensor 20 (step S13), angular velocity data is input (step S14), and the angle is calculated by integrating with the integration unit 113-2 (step S15).

[0037] Note that the detection data of the motion sensor 10 is captured through the transmission / reception units 12 and 102 according to the acquisition time (measurement time) GT, and the detection data of the motion sensor 20 is captured through the transmission / reception units 21 and 102 according to the acquisition time (measurement time) GT. Also, the order of the above steps S10 and S11, and the order of the above steps S13 and S14 may be reversed.

[0038] The data related to the input first spin is signal value processed by the signal value detection units 114-1, 115-1, and 116-1 (step S20), and the data related to the input second spin is signal value processed by the signal value detection units 114-2, 115-2, and 116-2 (step S21). The acceleration signal values SG11 and SG12 from the signal value detection units 114-1 and 114-2 are combined and processed by the combination output unit 117-1 (step S22), the angular velocity signal values SG21 and SG22 from the signal value detection units 115-1 and 115-2 are combined and processed by the combination output unit 117-2 (step S23), and the angle signal values SG31 and SG32 from the signal value detection units 116-1 and 116-2 are combined and processed by the combination output unit 117-3 (step S24). The combined acceleration data SGα from the combined output unit 117-1 is stored in the acceleration data storage unit 103-1 in the memory 103, the angular velocity data SGω from the combined output unit 117-2 is stored in the angular velocity data storage unit 103-2, and the angle data SGθ from the combined output unit 117-3 is stored in the angle data storage unit 103-3 (step S25).

[0039] When the data based on the motion of the subject 1 is stored in the memory 103, analysis processing is performed in the data analysis unit 120 (step S30), further evaluation determination is performed in the evaluation determination unit 130 (step S40), and the operations after the above step S10 are repeated until an end instruction (step S60) is given.

[0040] The details of the startup process (step S2) are shown in the flowchart of FIG. 20. That is, first, the previously obtained ideal data is stored in the memory 103 (step S2-1). Then, the measurer 2 drives the motion sensors 10 and 20 via the operation unit 200 and the input unit 107 of the measuring device 100 (step S2-2), drives the system of the camera 30 (step S2-3). The video of the camera 30 is captured by the measuring device 100 via the image receiving unit 106 and displayed on the display unit 40 via the display control unit 104 (step S2-4). Then, synchronization is achieved between the motion sensors 10 and 20 and the camera 30 via the adjustment unit 111 (step S2-5), and the acquisition time (measurement time) GT is input to end the process (step S2-6).

[0041] Note that the communication between the measuring device 100 and the motion sensors 10 and 20 is performed wirelessly between the transceiver 102 in the measuring device 100 and the transceivers 14 in the motion sensor 10 and 21 in the motion sensor 20. Also, as shown in FIG. 7, the camera 30 images the subject 1 to be measured, the measurer 2, the operation unit 200, etc. The measurer 2 can also view the video displayed on the display unit 40 and can perform the measurement while looking at the actual subject 1 to be measured.

[0042] FIG. 21 is a flowchart showing a detailed operation example of the data analysis process (step S30). The image data of the camera 30 is subjected to image analysis by the image analysis unit 109 (step S31), the release detection unit 108 detects the release, and the release time tr is obtained (step S32). Thereafter, the acceleration signal values of the first spin and the second spin stored in the acceleration ideal data and acceleration data storage unit 103-1 of the first spin and the second spin are read from the memory 103 (step S33-1), and the adjustment unit 111 adjusts the time axis for the acceleration (step S33-2). These processes are performed for each of the XYZ axes. Similarly, the angular velocity signal values of the first spin and the second spin stored in the angular velocity ideal data and angular velocity data storage unit 103-2 of the first spin and the second spin are read from the memory 103 (step S33-3), the adjustment unit 111 adjusts the time axis for the angular velocity ω (step S33-4), and further, the angle signal values of the first spin and the second spin stored in the angle ideal data and angle data storage unit 103-3 of the first spin and the second spin are read from the memory 103 (step S33-5), and the adjustment unit 111 adjusts the time axis for the angle θ (step S33-6). These processes are also performed for each of the XYZ axes.

[0043] Next, comparisons of the acceleration α (step S34-1), angular velocity ω (step S34-3), and angle θ (step S34-5) are made for the XYZ axes. For example, regarding the X-axis of the acceleration α, the acceleration signal value is, for example, as shown in Fig. 22(A), and the peak value Pα1 of the 1st spin, the peak value Pα2 of the 2nd spin, the interval Dα1 between the peak of the 1st spin and the peak of the 2nd spin, the interval Dα2 between the release and the peak of the 2nd spin, along with the difference from the ideal acceleration data 103α, etc. are used as comparison indicators. Also, regarding the Y-axis of the angular velocity ω, the angular velocity signal value is, for example, as shown in Fig. 22(B), and the peak value Pω1 of the 1st spin, the peak value Pω2 of the 2nd spin, the interval Dω1 between the peak of the 1st spin and the peak of the 2nd spin, the interval Dω2 between the release and the peak of the 2nd spin, along with the difference from the ideal angular velocity data 103ω, etc. are used as comparison indicators. Regarding the Z-axis of the angle θ, the angle signal value is, for example, as shown in Fig. 22(C), and the peak value Pθ1 of the 1st spin, the peak value Pθ2 of the 2nd spin, the interval Dθ1 between the peak of the 1st spin and the peak of the 2nd spin, the interval Dθ2 between the release and the peak of the 2nd spin, along with the difference from the ideal angular velocity data 103ω, etc. are used as comparison indicators.

[0044] Referring to Fig. 17 regarding the X-axis of the acceleration α, the ideal acceleration data 103αx-1 of the 1st spin with the time axis adjusted by the time axis adjustment unit 134x-1 and the detected acceleration data are input to the 1st acceleration comparison unit 124x-1, and the 1st spin acceleration comparison result CMαx1 is output. The ideal acceleration data 103αx-2 of the 2nd spin with the time axis adjusted by the time axis adjustment unit 121-2 and the detected acceleration data are input to the 2nd acceleration comparison unit 124x-2, and the 2nd spin acceleration comparison result CMαx2 is output. The 1st spin acceleration comparison result CMαx1 and the 2nd spin acceleration comparison result CMαx2 are input to the evaluation determination unit 130 as the acceleration comparison result CMαx. Similarly for the Y-axis and Z-axis, the acceleration comparison results CMαy and CMαz are analyzed and input to the evaluation determination unit 130 (step S34-2).

[0045] By the same operation as the above acceleration α, angular velocity comparison results CMωx, CMωy, and CMωz regarding the angular velocity ω with respect to the XYZ axes are analyzed and output (steps S34-3 and S34-4), and angle comparison results CMθx, CMθy, and CMθz regarding the angle θ with respect to the XYZ axes are analyzed and output (steps S34-5 and S34-6), and these comparison results are input to the evaluation determination unit 130.

[0046] The flowchart of FIG. 23 shows an operation example of the evaluation determination unit 130 and will be described with reference to FIG. 18.

[0047] The acceleration comparison results CMαx, CMαy, and CMαz from the data analysis unit 120 are input to the acceleration evaluation unit 131 (step S41-1), acceleration evaluation is performed according to the evaluation criteria preset for the XYZ axes (step S41-2), the acceleration evaluation EVα is input to the acceleration determination unit 134, a determination as shown in FIG. 24(A) is made, for example, and the acceleration comparison result JRα is output (step S41-3). Next, the angular velocity comparison results CMωx, CMωy, and CMωz from the data analysis unit 120 are input to the angular velocity evaluation unit 132 (step S42-1), angular velocity evaluation is performed according to the evaluation criteria preset for the XYZ axes (step S42-2), the angular velocity evaluation EVω is input to the angular velocity determination unit 135, a determination as shown in FIG. 24(B) is made, for example, and the angular velocity comparison result JRω is output (step S42-3). Next, the angle comparison results CMθx, CMθy, and CMθz from the data analysis unit 120 are input to the angle evaluation unit 133 (step S43-1), angle evaluation is performed according to the evaluation criteria preset for the XYZ axes (step S43-2), the angle evaluation EVθ is input to the angle determination unit 136, a determination as shown in FIG. 24(C) is made, for example, and the angle comparison result JRθ is output (step S43-3).

[0048] The acceleration comparison result JRα, the angular velocity comparison result JRω, and the angle comparison result JRθ are input to the comprehensive evaluation unit 137, and an evaluation determination result JR is output as a comprehensive evaluation (step S44). As a comprehensive determination, the acceleration α, the angular velocity ω, and the angle θ may be calculated equally, that is, at the same rate (Equation 1), or may be calculated with weighting as shown in FIG. 25(A) (Equation 2). (Equation 1) JR = CMα + CMω + CMθ (Equation 2) JR = a·CMα + b·CMω + c·CMθ However, a, b, and c are non-zero constants. Also, for each of the acceleration α, the angular velocity ω, and the angle θ, for example, weighting may be performed with respect to the Y-axis for determination. FIG. 25(B) shows an example of performing weighting for the XYZ axes with respect to the acceleration α. Furthermore, the evaluation determination may be performed by combining the weighting of the acceleration α, the angular velocity ω, and the angle θ with the weighting of the XYZ axes.

[0049] The result of the evaluation determination is displayed on the display unit 40 via the display control unit 104 and printed by the printer 50 via the output unit 105. Also, in parallel with the above operation, the video screen of the camera 30 is displayed on the display unit 40 via the image receiving unit 106 and the display control unit 104, and the measurer 2 can confirm it on the screen.

[0050] In the above example, one motion of the pitcher is measured and evaluated and determined, but it is also possible to measure by averaging a plurality of pitching motions. In this case, as shown in FIG. 26, an averaging unit 118-1 that averages the output of the acceleration α composite output unit 117-1, an averaging unit 118-2 that averages the output of the angular velocity ω composite output unit 117-2, and an averaging unit 118-3 that averages the output of the angle θ composite output unit 117-3 are provided. The data averaged by the averaging units 118-1, 118-2, and 118-3 are stored and used in the acceleration data storage units 103-1, 103-2, and 103-3, respectively.

[0051] Also, in the above example, for the acceleration ideal data, angular velocity ideal data, and angle ideal data, the unique ideal data as shown in FIGS. 11, 13, and 15 are respectively set and used. However, since the ideal data of W spin differs depending on the physique (mainly height and weight) and gender of the person doing sports, it may be possible to select and use from among a plurality of ideal data according to the physique and gender.

[0052] An example of the configuration of the ideal data setting unit in this case is shown in FIG. 27. In the ideal data setting unit, many different acceleration ideal data 103α-1 to 103α-n, many different angular velocity ideal data 103ω-1 to 103ω-k, and many different angle ideal data 103θ-1 to 103θ-m are prepared in advance and input to the selection units 161, 162, and 163 respectively. Then, the height, weight, and gender of the subject 1 are input from the operation unit 200 to the selection criterion signal generation unit 150, and the selection criterion signal SR generated by the selection criterion signal generation unit 150 is input to the selection units 161, 162, and 163. The acceleration data selected by the selection unit 161 according to the selection criterion signal SR is stored in the memory 103 as the acceleration ideal data 103α, the angular velocity data selected by the selection unit 162 according to the selection criterion signal SR is stored in the memory as the angular velocity ideal data 103ω, and the angle data selected by the selection unit 163 according to the selection criterion signal SR is stored in the memory 103 as the angle ideal data 103θ.

[0053] An example of the configuration of the selection criterion signal generation unit 150 is shown in FIG. 28. The height is adjusted by the adjustment unit 151 according to the gender to obtain the corresponding height, and the weight is adjusted by the adjustment unit 152 according to the gender to obtain the corresponding weight. The height signal HS adjusted by the adjustment unit 151 is input to the selection unit 155, and the weight signal WS adjusted by the adjustment unit 152 is input to the selection unit 156. The selection unit 155 receives height range data distinguished for each predetermined height range from the height data unit 153, and the selection unit 156 receives weight range data distinguished for each predetermined weight range from the weight data unit 154. In this example, the height data unit 153 is classified into "< 150 cm", "150 - 155 cm", ···, "185 - 190 cm", "> 190 cm", and the weight data unit 154 is classified into "< 30 kg", "30 - 35 kg", ···, "95 - 100 kg", "> 100 kg". The height data HSS selected by the selection unit 155 is input to the selection table 157, and the weight data WSS selected by the selection unit 156 is input to the selection table 157. The selection table 157 outputs a selection criterion signal SR according to the combination of the input height data HSS and weight data WSS.

[0054] In such a configuration, an example of its operation will be described with reference to the flowchart of FIG. 29.

[0055] First, a large number of ideal acceleration data (103α-1 to 103α-n) are created and set (step S50-1), a large number of ideal angular velocity data (103ω-1 to 103ω-k) are created and set (step S50-2), and a large number of ideal angle data (103θ-1 to 103θ-m) are created and set (step S50-3). The set ideal acceleration data (103α-1 to 103α-n) is input to the selection unit 161, the set ideal angular velocity data (103ω-1 to 103ω-k) is input to the selection unit 162, and the set ideal angle data (103θ-1 to 103θ-m) is input to the selection unit 163. Next, the height, weight, and gender of the person to be measured 1 are input (step S51), the height signal HS adjusted by the adjustment unit 151 is input to the selection unit 155, one of the height range data 153 is selected by the selection unit 155 to output height data HSS, and it is input to the selection table 157 (step S51-1). Similarly, the weight signal WS adjusted by the adjustment unit 152 is input to the selection unit 156, one of the weight range data 154 is selected by the selection unit 156 to output weight data WSS, and it is input to the selection table 157 (step S51-2). The selection table 157 outputs a selection reference signal SR according to the combination of the input height data HSS and weight data WSS (step S52).

[0056] The selection reference signal SR is input to the selection units 161, 162, and 163. The selection unit 161 selects and outputs one of the ideal acceleration data 103α-1 to 103α-n according to the selection reference signal SR (step S53), and stores the selected data as the ideal acceleration data 103α in the acceleration data storage unit 103-1 (step S53-1). Also, the selection unit 162 selects and outputs one of the ideal angular velocity data 103ω-1 to 103ω-k according to the selection reference signal SR (step S54), and stores the selected data as the ideal angular velocity data 103ω in the angular velocity data storage unit 103-2 (step S54-1). Similarly, the selection unit 162 selects and outputs one of the ideal angle data 103θ-1 to 103θ-m according to the selection reference signal SR (step S55), and stores the selected data as the ideal angle data 103θ in the angle data storage unit 103-3 (step S55-1).

[0057] The operations after being stored in the acceleration data storage unit 103-1, the angular velocity data storage unit 103-2, and the angle data storage unit 103-3 are the same as those described above.

[0058] FIG. 30 shows an example of acceleration data from the motion sensor 10. The first spin (pelvis) is shown as a yellow-green waveform, the second spin (upper limb) is shown as a green waveform, and the trigger is shown as a blue waveform. From the waveform of the trigger and the video from the camera 30, the release point indicated by the red straight line can be specified.

[0059] FIGS. 31 to 34 show indices of dexterity based on angular velocity. FIG. 31 shows the speed at the maximum angular velocity of the first spin, and FIG. 32 shows the speed at the maximum angular velocity of the second spin. Further, FIG. 33 shows the time difference between the maximum angular velocity of the first spin and the maximum angular velocity of the second spin, and FIG. 34 shows the time difference between the release and the maximum angular velocity of the second spin.

[0060] Also, FIGS. 35 and 36 show actual waveform examples of the second spin in terms of angular velocity, and FIG. 37 shows the quality of the second spin.

[0061] Based on the finding that the principle of W spin is inherent in human motion, the present invention does not separately polish the first spin and the second spin, which are the components of the W spin, but by improving the quality of the combination of both spins, it can greatly contribute to the guidance or teaching (athletic education (registered trademark)) for improving the performance of sports players.

Explanation of Reference Numerals

[0062] 1 Measured person 2 Measurer 10, 20 Motion sensors 11, 21 Bands 12, 22 Power switches 13 Display lamp 14, 21 Transceiver 30 Camera 40 Display unit 50 Printer 100 Measuring device 101 CPU (MPU, MCU) 102 Transceiver 103 Memory 104 Display control unit 105 Output unit 106 Image receiving unit 107 Input unit 108 Release (impact) detection unit 109 Image analysis unit 110 Detection processing unit 111 Adjustment unit 120 Data analysis unit 130 Evaluation and determination unit 200 Operation unit

Claims

1. From a first motion sensor attached to a rotating part with the spine of the subject performing sports as the axis of rotation, for the XYZ-orthogonal three axes, the acceleration, angular velocity, and angle of the first spin of the W spin are detected and a first detection signal is transmitted. From a second motion sensor attached to the upper arm or thigh of the subject, for the XYZ-orthogonal three axes, the acceleration, angular velocity, and angle of the second spin of the W spin are detected and a second detection signal is transmitted. Within a set acquisition time, the first detection signal and the second detection signal are received and processed. The processed first detection signal and the processed second detection signal are stored. Perform time-axis adjustment between the acceleration spin ideal data, angular velocity spin ideal data, and angle spin ideal data for the XYZ-orthogonal three axes that make up the pre-stored W spin ideal data, and the processed first detection signal and the processed second detection signal. For the XYZ-orthogonal three axes, perform a first comparative evaluation to measure the similarity between the acceleration spin ideal data and each acceleration component of the processed first detection signal and the processed second detection signal. For the XYZ-orthogonal three axes, perform a second comparative evaluation to measure the similarity between the angular velocity spin ideal data and each angular velocity component of the processed first detection signal and the processed second detection signal. For the XYZ-orthogonal three axes, perform a third comparative evaluation to measure the similarity between the angle spin ideal data and each angle component of the processed first detection signal and the processed second detection signal. Comprehensively judge the comparative evaluation results of the first comparative evaluation, the second comparative evaluation, and the third comparative evaluation. A sports skill measurement method characterized by measuring the proficiency of the skill related to the W spin movement of the subject based on the comprehensive judgment.

2. The subject is imaged with a camera and image analysis is performed. The sports skill measurement method according to claim 1, wherein the release or impact of the ball being moved by the subject is detected by the image analysis.

3. The sports skill measurement method according to claim 2, wherein the time-axis adjustment is performed based on the detected release or impact.

4. The first detection signal and the second detection signal are received multiple times, averaged, and stored respectively, according to the sports skill measurement method according to claim 1 or 2.

5. The first comparative evaluation is performed by using the peak value and peak interval of the ideal acceleration spin data, the peak value and peak interval of each acceleration component of the processed first detection signal and the processed second detection signal, and the difference between the two. The second comparative evaluation is performed by using the peak value and peak interval of the ideal angular velocity spin data, the peak value and peak interval of each angular velocity component of the processed first detection signal and the processed second detection signal, and the difference between the two. The sports skill measurement method according to claim 2, wherein the third comparative evaluation is performed by using the peak value and peak interval of the ideal angle spin data, the peak value and peak interval of each angle component of the processed first detection signal and the processed second detection signal, and the difference between the two.

6. The sports skill measurement method according to claim 5, wherein in the comprehensive determination, weighting is applied to the first comparative evaluation, the second comparative evaluation, and the third comparative evaluation.

7. The sports skill measurement method according to claim 5, wherein in the first comparative evaluation, the second comparative evaluation, and the third comparative evaluation, weighting is applied to the evaluation determination of the X-axis, Y-axis, and Z-axis.

8. The sports skill measurement method according to claim 1, wherein the angle is obtained by integrating the angular velocity for the XYZ-orthogonal three axes.

9. A first motion sensor that is attached to a rotating part with the spine of the subject performing sports as the rotation axis, detects the acceleration, angular velocity, and angle of the first spin of the W spin, and transmits a first detection signal. A second motion sensor that is attached to the upper arm or thigh of the subject, detects the acceleration, angular velocity, and angle of the second spin of the W spin, and transmits a second detection signal. A detection processing unit that receives and processes the first detection signal and the second detection signal. A memory that stores the acceleration spin ideal data, angular velocity spin ideal data, and angle spin ideal data that constitute the W spin ideal data, and also stores the processed first detection signal and processed second detection signal processed by the detection processing unit. A time axis adjustment unit that adjusts the time axes of the processed first detection signal and the processed second detection signal with respect to the time axes of the acceleration spin ideal data, the angular velocity spin ideal data, and the angle spin ideal data. A first comparative evaluation unit that compares and evaluates the similarity of each acceleration component of the adjusted first detection signal and the adjusted second detection signal whose time axes are adjusted by the time axis adjustment unit with respect to the acceleration spin ideal data. A second comparison and evaluation unit that compares and evaluates the similarity of each angular velocity component of the adjusted first detection signal and the adjusted second detection signal with respect to the ideal angular velocity spin data; A third comparison and evaluation unit that compares and evaluates the similarity of each angle component of the adjusted first detection signal and the adjusted second detection signal with respect to the ideal angle spin data; An integrated determination unit that comprehensively determines the comparison and evaluation results of the first comparison and evaluation unit, the second comparison and evaluation unit, and the third comparison and evaluation unit; An output unit that outputs the determination result of the integrated determination unit; It is characterized in that it comprises a sports skill measurement system that measures the proficiency of the skill related to the W spin movement of the person to be measured based on the determination result.

10. Each of the first detection signal and the second detection signal is an XYZ-orthogonal three-axis, and each of the ideal acceleration spin data, the ideal angular velocity spin data, and the ideal angle spin data is an XYZ-orthogonal three-axis, and the similarity is compared and evaluated for each XYZ-orthogonal three-axis. The sports skill measurement system according to claim 9.

11. A camera that images the person to be measured, an image analysis unit that analyzes the video of the camera, and a release (impact) detection unit that detects the release or impact of the ball of the person to be measured in cooperation with the image analysis unit, and the detected release or impact is used as a reference for the time adjustment unit. The sports skill measurement system according to claim 9 or 10.

12. The sports skill measurement system according to claim 11, further comprising an averaging unit that receives and averages the first detection signal and the second detection signal a plurality of times.

13. In the first comparison and evaluation, the peak value and peak interval of the ideal acceleration spin data, the peak value and peak interval of each acceleration component of the processed first detection signal and the processed second detection signal, and the difference between the two are used; In the second comparison and evaluation, the peak value and peak interval of the ideal angular velocity spin data, the peak value and peak interval of each angular velocity component of the processed first detection signal and the processed second detection signal, and the difference between the two are used; In the third comparison and evaluation, the peak value and peak interval of the ideal angle spin data, the peak value and peak interval of each angle component of the processed first detection signal and the processed second detection signal, and the difference between the two are used. The sports skill measurement system according to claim 9 or 10.

14. The sports skill measurement system according to claim 9 or 10, wherein the first motion sensor detects acceleration and angular velocity, the second motion sensor detects acceleration and angular velocity, and the two angular velocities are integrated to detect the angle.

15. The sports skill measurement method according to claim 9 or 10, wherein the comprehensive determination unit performs a comprehensive determination by weighting the respective comparison evaluation results of the first comparison evaluation unit, the second comparison evaluation unit, and the third comparison evaluation unit.

16. The sports skill measurement method according to claim 9 or 10, wherein a plurality of the acceleration spin ideal data, the angular velocity spin ideal data, and the angle spin ideal data are prepared in advance and selected and set according to predetermined conditions of the person to be measured.

17. A step of receiving and processing the acceleration, angular velocity, and angle of the first spin of W spin for the XYZ-orthogonal three axes, which are detected and transmitted by a first motion sensor attached to a rotating part having the spine of the person to be measured as a rotation axis; A step of receiving and processing the acceleration, angular velocity, and angle of the second spin of W spin for the XYZ-orthogonal three axes, which are detected and transmitted by a second motion sensor attached to the upper arm or thigh of the person to be measured; A step of storing the processed first detection signal and the processed second detection signal that have been received and processed; A step of performing time axis adjustment between the acceleration spin ideal data, the angular velocity spin ideal data, and the angle spin ideal data for the XYZ-orthogonal three axes, which constitute the W spin ideal data stored in advance, and the processed first detection signal and the processed second detection signal; A step of performing a first comparison evaluation for measuring the similarity between the acceleration spin ideal data and each acceleration component of the processed first detection signal and the processed second detection signal for the XYZ-orthogonal three axes; A step of performing a second comparison evaluation for measuring the similarity between the angular velocity spin ideal data and each angular velocity component of the processed first detection signal and the processed second detection signal for the XYZ-orthogonal three axes; A step of performing a third comparison evaluation for measuring the similarity between the angle spin ideal data and each angle component of the processed first detection signal and the processed second detection signal for the XYZ-orthogonal three axes; A step of comprehensively determining the comparison evaluation results of the first comparison evaluation, the second comparison evaluation, and the third comparison evaluation; A program for sports skill measurement that includes and measures the proficiency of the skills related to the W spin movement of the person to be measured based on the comprehensive determination.

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