JP2017104730A - Swing analysis device, swing analysis method, program and swing analysis system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To allow a user to grasp own swing quality objectively.SOLUTION: In a swing analysis device, a calculation part overlaps a specified point of a first time-series information relating to a first swing on a specified point of a second time-series information relating to a second swing to calculate a degree of gap between the first time-series information and the second time-series information; and a determination part determines whether the first swing and the second swing come close to each other or not based on the degree of gap between the first time-series information and the second time-series information.SELECTED DRAWING: Figure 2

Description

The present invention relates to a swing analysis device, a swing analysis method, a program, and a swing analysis system.

Japanese Patent Application Laid-Open No. 2004-151867 discloses a technique for supporting swing evaluation by attaching a sensor to a golf club and analyzing swing behavior.

JP 2008-73210 A

By the way, it is difficult for the user to objectively grasp the quality of his / her swing even if the swing result such as the swing speed or locus is shown by the golf swing analysis apparatus using the inertial sensor. For example, some golf swing analysis devices display a user's swing trajectory and an ideal swing trajectory such as a professional golfer, but only by comparing and displaying the trajectory, the user can determine whether his / her swing is good or bad. It is difficult to grasp objectively.

Therefore, an object of the present invention is to provide a technique that allows a user to objectively grasp the quality of his / her swing.

The first aspect of the present invention for solving the above-described problem is that the predetermined time point of the first time-series information related to the first swing and the predetermined time point of the second time-series information related to the second swing. In addition, based on the degree of divergence between the first time series and the second time series information, the calculation unit that calculates the degree of divergence between the first time series information and the second time series information, And a determination unit configured to determine whether or not the first swing and the second swing are approximate to each other. According to the first aspect, the user can objectively grasp the quality of his / her swing.

The predetermined time point may be an impact. As a result, the user can objectively grasp the quality of the swing near the impact, which is an important index of the swing.

The calculation unit may calculate a divergence degree in a predetermined section between the first time series information and the second time series information. Thereby, the user can objectively grasp the quality of the swing in the predetermined section.

The predetermined section may be at least a part of a downswing.
Thereby, the user can grasp the quality of the swing in at least a part of the downswing that is an important index of the swing.

The predetermined section may be selectable. Thereby, the user can select a section in which the user wants to know the quality of the swing.

The determination unit selects a plurality of the predetermined sections, and changes a threshold value for determining an approximation between the first swing and the second swing between one predetermined section and the other predetermined section. It is good. Thereby, it is possible to make the determination criteria for approximation of the first swing and the second swing different in the important section of the swing and the non-swing section.

The first time-series information is coordinates of the trajectory of the first swing, the second time-series information is coordinates of the trajectory of the second swing, and the degree of divergence is the first It may be a distance between the coordinates of the trajectory of the second swing and the coordinates of the trajectory of the second swing. Thereby, the user can grasp the quality of the swing in the swing speed and the swing path.

The first time series information is an angle of a ball striking surface of the exercise instrument in the first swing, and the second time series information is an angle of the ball striking face of the exercise instrument in the second swing, The degree of divergence may be a difference between the angle of the ball striking surface of the exercise instrument in the first swing and the angle of the ball striking surface of the exercise instrument in the first swing. Thereby, the user can grasp | ascertain the quality of a swing in the angle of the ball striking surface of an exercise device.

The image processing device may further include an image generation unit configured to generate image data so that a display form is different between an approximated portion and an approximated portion of the first swing and the second swing. Good. Thereby, the user can easily grasp the quality of his / her swing.

The second aspect of the present invention for solving the above-mentioned problem is that the predetermined time point of the first time-series information related to the first swing and the predetermined time point of the second time-series information related to the second swing. In addition, based on the step of calculating the degree of divergence between the first time series information and the second time series information, and the degree of divergence between the first time series and the second time series information, And a step of determining whether or not the first swing and the second swing are approximate to each other. According to the second aspect, the user can objectively grasp the quality of his / her swing.

According to a third aspect of the present invention for solving the above-described problem, the predetermined time point of the first time-series information related to the first swing and the predetermined time point of the second time-series information related to the second swing are obtained. In addition, based on the procedure for calculating the degree of deviation between the first time series information and the second time series information, and the degree of deviation between the first time series information and the second time series information, A program for causing a computer to execute a procedure for determining whether or not a first swing and the second swing are approximate. According to the third aspect, the user can objectively grasp the quality of his / her swing.

According to a fourth aspect of the present invention for solving the above-described problem, an inertial sensor, a predetermined time point of the first time-series information related to the first swing calculated using the output of the inertial sensor, A calculation unit that calculates the divergence between the first time series information and the second time series information by combining the predetermined time of the second time series information regarding the swing of the first time series, and the first time series; The second
And a swing analysis device having a determination unit that determines whether or not the first swing and the second swing are approximated based on a degree of deviation from the time-series information. This is a swing analysis system. According to the fourth aspect, the user can objectively grasp the quality of his / her swing.

It is the figure which showed the structural example of the swing analysis system which concerns on 1st Embodiment. It is the figure which showed an example of the functional block of a sensor unit and a swing analyzer. It is a figure explaining the example of the relationship between the locus | trajectory and event of a reference | standard swing and a contrast swing. It is a figure explaining the example of the predetermined time adjustment of the coordinate of two locus | trajectories. It is a figure explaining the example of the deviation degree of two swings. It is the flowchart which showed the operation example of the swing analyzer. It is the figure which showed an example of the functional block of the sensor unit and swing analyzer which concern on 2nd Embodiment. It is the figure which showed the example of a screen of a reference | standard swing and a contrast swing. It is the flowchart which showed the operation example of the swing analyzer.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[First Embodiment]
FIG. 1 is a diagram illustrating a configuration example of a swing analysis system according to the first embodiment. As shown in FIG. 1, the swing analysis system includes a sensor unit 1 and a swing analysis device 2.
And have. The sensor unit 1 and the swing analysis device 2 can communicate with each other by wireless communication or wired communication. FIG. 1 shows a golf club (corresponding to the exercise apparatus of the present invention) C1 and a user U1 swinging the golf club.

The sensor unit 1 includes an inertial sensor, and measures accelerations in three axial directions that are substantially orthogonal to each other and angular velocities generated around the three axes. For example, the sensor unit 1 has x
, Y, z-axis of the three detection axes, the golf club C1 is attached to a part of the shaft of the golf club C1 in accordance with the long axis direction of the shaft of the golf club C1, and caused by the swing of the user U1 The acceleration in the triaxial direction of the club C1 and the angular velocity around each of the triaxial axes are measured. The sensor unit 1 transmits the measured acceleration and angular velocity (hereinafter sometimes referred to as measurement data) to the swing analysis device 2.

The swing analysis device 2 is a terminal device such as a smart phone or a personal computer. In the example of FIG. 1, the swing analysis device 2 is a smartphone, and the user U1
It is attached to the waist.

The swing analysis device 2 receives the measurement data transmitted from the sensor unit 1, and analyzes the swing motion of the golf club C1 based on the received measurement data. For example, the swing analysis device 2 analyzes a swing motion such as a trajectory (for example, a trajectory of the head) of the golf club C1.

The swing analysis device 2 receives a swing that the user U1 is ideal from the user U1 in advance. The swing received in advance may be, for example, a past swing when the user U1 is in good condition, or a professional golfer's swing idealized by the user U1.

The swing analysis device 2 will be described in detail below. When the user U1 swings the golf club C1, whether or not the swing trajectory approximates the swing trajectory ideally received by the user U1 has been approximated. judge. Then, the swing analysis device 2 displays the determination result on whether or not the swing of the user U1 and the ideal swing are approximated, for example, on a display or outputs sound. Thus, since the swing analysis apparatus 2 determines whether or not the swing of the user U1 and the ideal swing of the user U1 are approximate, the user U1 objectively grasps the quality of his / her swing. be able to.

In FIG. 1, the sensor unit 1 is mounted on the golf club C1, but it may be mounted on a part of the body of the user U1. For example, the sensor unit 1 may be mounted on the user U1's arm and measure the swing motion of the user U1's arm.

FIG. 2 is a diagram illustrating an example of functional blocks of the sensor unit 1 and the swing analysis device 2. As shown in FIG. 2, the sensor unit 1 includes a control unit 11 and an acceleration sensor 1.
2, an angular velocity sensor 13, and a communication unit 14.

The control unit 11 controls the sensor unit 1 in an integrated manner. The control unit 11 receives measurement data (acceleration data and angular velocity data) from each of the acceleration sensor 12 and the angular velocity sensor 13, adds a measurement time to the received measurement data, and outputs the measurement data to the communication unit 14.

The acceleration sensor 12 measures acceleration generated in each of the three axial directions that are substantially orthogonal.
The acceleration sensor 12 outputs the measured acceleration to the control unit 11 as a digital signal, for example.

The angular velocity sensor 13 measures an angular velocity generated around each of the three axes that are substantially orthogonal. The angular velocity sensor 13 outputs the measured angular velocity to the control unit 11 as a digital signal, for example.

The communication unit 14 transmits measurement data (including measurement time) output from the control unit 11 to the swing analysis device 2. In addition, the communication unit 14 receives a control command from the swing analysis device 2 and outputs the received control command to the control unit 11. The control unit 11 performs various processes according to the control command.

The swing analysis device 2 includes a control unit 21, a storage unit 22, a communication unit 23, an operation unit 24,
The display unit 25, the audio output unit 26, and the communication unit 27 are included.

The control unit 21 controls the swing analysis device 2 in an integrated manner. The control unit 21 includes, for example, a CPU (Central Processing Unit) that is an arithmetic device and a RAM (Ran) that is a volatile storage device.
dom Access Memory), ROM (Read Only Memory) that is a nonvolatile storage device, an interface circuit that connects the control unit 21 and other units, a bus that connects these,
It is realized by a computer equipped with. In addition, the control unit 21 has an ASIC (Appl
ication Specific Integrated Circuit) or the like. Each functional unit of the control unit 21 will be described later.

The storage unit 22 stores data used by the control unit 21 for processing. The storage unit 22 stores past swing measurement data. The storage unit 22 can be realized by a non-volatile storage device such as a flash ROM, for example.

The communication unit 23 receives measurement data transmitted from the sensor unit 1. Communication unit 23
Outputs the received measurement data to the control unit 21. In addition, the communication unit 23 receives a control command output from the control unit 11. The communication unit 23 transmits the received control command to the sensor unit 1.

The operation unit 24 acquires operation data from the user. The operation unit 24 outputs the acquired operation data to the control unit 21. The operation unit 24 is, for example, a touch panel provided on a display, buttons, keys, a microphone, or the like.

The display unit 25 displays the processing results of the control unit 21 as characters, graphs, tables, animations, and other images. The display unit 25 is, for example, an LCD (Liquid Crystal Display), EP
D (Electrophoretic Display), display using organic light emitting diode (OLED),
It is a touch panel display, HMD (head mounted display).

The voice output unit 26 outputs the processing result of the control unit 21 by voice or buzzer sound. Audio output unit 2
6 is, for example, a speaker or a buzzer.

  The communication unit 27 communicates with a server or the like via a network or the like (not shown).

Each functional unit of the control unit 21 will be described. The control unit 21 includes a motion analysis unit 31, an event detection unit 32, a divergence degree calculation unit (corresponding to the calculation unit of the present invention) 33, an approximate determination unit (corresponding to the determination unit of the present invention) 34, And an image generation unit 35. At least a part of each functional unit of the control unit 21 can be realized, for example, when the CPU reads a predetermined program stored in the ROM into the RAM and executes it. The predetermined program is, for example,
An application program that runs on an OS (Operating System), which can be read from a portable storage medium and installed in the swing analysis device 2, or downloaded from a server on the network and installed in the swing analysis device 2. it can. The OS and application program may be stored in the storage unit 22.

The motion analysis unit 31 analyzes the swing motion based on the measurement data. For example, the motion analysis unit 31 calculates a swing locus based on the measurement data transmitted from the sensor unit 1. The locus of the swing is indicated by, for example, spatial coordinates (three-dimensional coordinates) with the address position of the golf club head as the origin.

In addition, the motion analysis unit 31 receives a swing idealized by the user in advance from the user. The ideal swing received in advance may be, for example, a past swing when the user is in good condition, or a professional golfer's swing ideal for the user U1.

When the motion analysis unit 31 receives a past swing as an ideal swing from the user,
With reference to the storage unit 22 storing past measurement data, the measurement data corresponding to the swing received from the user is acquired. The motion analysis unit 31 calculates an ideal swing trajectory from the measurement data acquired from the storage unit 22.

When the motion analysis unit 31 receives a pro golfer's swing as an ideal swing from the user, the motion analysis unit 31 receives, for example, measurement data of the pro golfer's swing received from the user from a server connected to a network (not shown). The motion analysis unit 31 calculates a swing locus ideal for the user from the measurement data received from the server.

The motion analysis unit 31 can analyze a swing motion such as a swing trajectory from the measurement data using a general technique. For example, the motion analysis unit 31 can analyze the swing motion by the technique disclosed in Japanese Patent Application Laid-Open No. 2015-2911.

Hereinafter, the swing ideal for the user may be referred to as a reference swing (corresponding to the first swing of the present invention). Further, the swing compared with the reference swing may be referred to as a comparison swing (corresponding to the second swing of the present invention). The contrast swing is, for example, the current (latest) swing in which the user swings the golf club using the sensor unit 1 and the swing analysis device 2.

The event detection unit 32 detects an event (rhythm) of the locus of the swing motion calculated by the motion analysis unit 31 based on the measurement data. For example, the event detection unit 32 detects the address of the trajectory calculated by the motion analysis unit 31, top, halfway down, impact, follow-through, finish, backswing, and downswing timing.

The event detection unit 32 can detect an event in the swing motion using a general technique. For example, the event detection unit 32 can detect an event by the technique disclosed in Japanese Patent Application Laid-Open No. 2015-2911.

FIG. 3 is a diagram for explaining an example of the relationship between the trajectory of the reference swing and the contrast swing and the event. An arrow A1 in FIG. 3 shows an example of the calculation timing of the coordinates of the trajectory of the reference swing. The motion analysis unit 31 calculates the coordinates of the golf club trajectory at the sample points “t ₀ , t ₁ ,..., T _n ,. The intervals between the sample points “t ₀ , t ₁ ,... T _n ,...” Are, for example, equal to the sampling cycle in which the sensor unit 1 measures measurement data, and are equally spaced.

For example, the motion analysis unit 31 calculates the coordinates of the trajectory of the reference swing in time series from the address of the swing motion to the finish. Below the sample point, the motion analysis unit 31 calculates,
An example of coordinates of the trajectory of the reference swing is shown.

An arrow A1a shown in FIG. 3 indicates an address timing. That is, the coordinates at the first sample point “t ₀ ” indicate the coordinates at the address of the reference swing.

Arrow A1b indicates the timing of impact. That is, the coordinates of the sample point “t _n ” indicate the coordinates in the impact of the reference swing. Note that the address and impact timing are detected by the event detection unit 32.

An arrow A2 in FIG. 3 shows an example of the calculation timing of the coordinates of the trajectory of the contrast swing. The motion analysis unit 31 calculates the coordinates of the golf club trajectory at the sample points “t ₀ , t ₁ ,..., T _n ,. The interval between the sample points “t ₀ , t ₁ ,... T _n ,.
Coincides with the sampling cycle for measuring the measurement data, and is equally spaced.

For example, the motion analysis unit 31 calculates the coordinates of the trajectory of the contrast swing in time series from the address of the swing motion to the finish. Below the sample point, the motion analysis unit 31 calculates,
A coordinate example of the trajectory of the contrast swing is shown.

An arrow A2a shown in FIG. 3 indicates an address timing. That is, the coordinates at the first sample point “t ₀ ” indicate the coordinates at the address of the contrast swing.

An arrow A2b indicates the timing of impact. That is, the coordinates of the sample point “t _{n + 3} ” indicate the coordinates in the impact of the contrast swing. Note that the address and impact timing are detected by the event detection unit 32.

Returning to the description of FIG. The divergence degree calculation unit 33 includes a predetermined point in time of the coordinates of the reference swing trajectory calculated by the motion analysis unit 31 (corresponding to the first time-series information of the present invention) and the trajectory of the comparison swing calculated by the motion analysis unit 31. And a predetermined point in time of the coordinates (second time-series information of the present invention) are combined to calculate the degree of divergence between the reference swing trajectory and the contrast swing trajectory.

The predetermined time point when the coordinates of the two trajectories are aligned is, for example, an impact. For example, the divergence degree calculating unit 33 calculates the divergence degree between the reference swing trajectory and the contrast swing trajectory by combining the impact time of the reference swing trajectory coordinates and the impact time of the contrast swing trajectory coordinates.

FIG. 4 is a diagram for explaining an example of matching the coordinates of two trajectories at a predetermined time point. Arrow A3 in FIG.
Shows a part of the sample point of the reference swing trajectory shown in FIG. 3 and the coordinates at the sample point. In addition, the arrow A4 shows a part of the sample point of the trajectory of the contrast swing shown in FIG. 3 and the coordinates of the trajectory of the contrast swing at the sample point.

As described above, the divergence degree calculation unit 33 matches the predetermined time point of the coordinates of the trajectory of the reference swing with the predetermined time point of the coordinates of the trajectory of the contrast swing. For example, the deviation calculation unit 33, as shown in FIG. 4, the impact point coordinate of the trajectory of the reference swing (sample point "t _n"), the impact point coordinate of the trajectory of contrasting swing (sampling point "t _{n +3} ”).

The divergence degree calculation unit 33 calculates the divergence degree between the two trajectories that match the impact coordinate timings when the impact time points of the coordinates of the two trajectories are matched. The degree of divergence is, for example, the distance between the coordinates of two trajectories.

For example, the divergence calculation unit 33 calculates the coordinates (x _n) of the locus at the sample point “t _n ” of the reference swing.
, Y _n , z _n ) and the coordinates (x _{n + 3} ′, y _{n + 3} ′, z _n ) at the sample point “t _{n + 3} ” of the contrast swing
_{From +3} '), the distance between the two trajectories is calculated. Further, the divergence degree calculation unit 33 calculates the coordinates (x _n−1 , y _n−1 , z _n−1 ) at the reference swing sampling point “t _n-1 ” and the contrast swing sampling point “t”.
The distance between the two loci is calculated from the coordinates (x _{n + 2} ′, y _{n + 2} ′, z _{n + 2} ′) at “ _{n + 2} ”. Similarly, the divergence degree calculation unit 33 calculates the distance between the two trajectories by going back to the past (address direction) one sample point at a time in the two trajectories obtained by combining the impact sample points.

The divergence degree calculation unit 33 calculates the divergence degree of the trajectory between the reference swing and the contrast swing in the predetermined section. The predetermined section is, for example, a downswing of a contrast swing. For example, as described above, the divergence degree calculation unit 33 calculates the distance between two trajectories by going back one sample at a time, but when the coordinates of the trajectory of the contrast swing become the top coordinates, the divergence degree is calculated. Is calculated, and the divergence degree of the trajectory between the reference swing and the contrast swing in the downswing section (that is, from the top to the impact) is calculated.

The distance between the coordinates of the two trajectories at the predetermined time point (impact) indicates the degree of divergence between the paths of the two swings and the degree of divergence between the swing speeds of the two swings.

FIG. 5 is a diagram illustrating an example of the degree of deviation between two swings. An arrow A5 in FIG. 5 shows a reference swing trajectory L1 and a comparison swing trajectory L2 in which the swing timings are substantially the same and the impact timing is matched. When the swing speeds of the reference swing and the contrast swing are substantially the same, the distance from the sample point “t _n ” of the locus L1 to the sample point “t _n−1 ” and the sample point “t _{n + 3} ” of the locus L2 The distance to the sample point “t _{n + 2} ” is almost the same. Further, the distance from the sample point “t _n-1 ” of the locus L1 to the sample point “t _n-2 ”, and the sample point “
The distance from “t _{n + 2} ” to the sample point “t _{n + 1} ” is substantially the same.

Even if the swing speeds of the two swings are substantially the same, if the paths of the two swings are greatly different, the distance between the coordinates is greatly different. For example, the path at the sampling point “t _n-2 ” of the locus L1 and the path at the sampling point “t _{n + 1} ” of the locus L2 are greatly different, and the sampling point “
The distance between the coordinates at “t _n-2 ” and the coordinates at the sample point “t _{n + 1} ” of the locus L2 is large. That is, even if the two swing speeds are substantially the same, if the paths of the two swings are greatly different, the divergence degree calculated by the divergence degree calculating unit 33 is increased.

An arrow A6 in FIG. 5 shows a reference swing trajectory L1 and a contrast swing trajectory L2 with different swing speeds, which are matched in impact timing. When the swing speed of the reference swing and the contrast swing are greatly different, the sampling point “t _n ” from the sampling point “t _n ” of the locus L1
The distance to t _n-1 ”and the distance from the sample point“ t _{n + 3} ”to the sample point“ t _{n + 2} ”of the locus L2 are
to differ greatly. Further, the distance from the sample point “t _n-1 ” to the sample point “t _n-2 ” on the locus L1 and the distance from the sample point “t _{n + 2} ” to the sample point “t _{n + 1} ” on the locus L2. Are very different.

Even if the swing paths of the two swings are substantially the same, if the swing speeds of the two swings are greatly different, the distance between the coordinates is greatly different. For example, the distance between the coordinates at the sample point “t _n-1 ” of the locus L1 and the coordinates at the sample point “t _{n + 2} ” of the locus L2 becomes large. Also, the locus L
The distance between the coordinates at one sample point “t _n−2 ” and the coordinates at the sample point “t _{n + 1} ” on the locus L2 becomes large. That is, even if the two swing paths are substantially the same, if the two swing speeds are greatly different, the divergence degree calculated by the divergence degree calculation unit 33 is increased.

Returning to the description of FIG. The approximation determination unit 34 determines whether or not the reference swing and the comparison swing are approximated based on the divergence degree calculated by the divergence degree calculation unit 33. For example, the approximate determination unit 3
4, when the distance between the coordinates of the reference swing trajectory and the coordinates of the contrast swing trajectory is equal to or greater than a predetermined threshold, it is determined that the reference swing and the contrast swing are not approximated. The reason why the two swings are not approximated is that the swing speed is different, the swing path is different, and the swing speed and the swing path are different as described with reference to FIG.

The image generation unit 35 generates image data of the swing motion analyzed by the motion analysis unit 31.
The image data includes, for example, the trajectory and head speed of the golf club on which the user swings, and the determination result determined by the approximate determination unit 34.

  Hereinafter, the operation of the swing analysis apparatus 2 will be described.

FIG. 6 is a flowchart showing an operation example of the swing analysis apparatus 2. When the golf club on which the sensor unit 1 is mounted is swung by the user, the swing analysis device 2 executes the process of the flowchart shown in FIG. It is assumed that the motion analysis unit 31 receives an ideal swing (reference swing) ideal from the user in advance and calculates the coordinates and events of the swing reference trajectory.

First, the communication unit 23 receives measurement data transmitted from the sensor unit 1 (step S1).

Next, the motion analysis unit 31 calculates the coordinates of the trajectory of the contrast swing based on the measurement data received in step S1 (step S2).

Next, the event detection unit 32 detects a contrast swing event based on the measurement data received in step S1 (step S3). That is, the event detection unit 32
The address of the contrast swing, the timing of the top, impact, down swing, etc. are detected.

Next, the motion analysis unit 31 matches the impact point of the reference swing trajectory calculated in advance with the impact point of the contrast swing trajectory calculated in step S2 (step S4).

Next, in step S4, the divergence degree calculation unit 33 calculates a spatial distance between the coordinates of the trajectory of the reference swing and the coordinates of the trajectory of the contrasting swing at which the impact time points are matched (step S4).
5). When the processing shifts from step S4 to step S5, the divergence degree calculation unit 33 calculates the spatial distance between the coordinates of the two trajectories at the sample point at the time of impact.

Next, the approximation determination unit 34 determines whether or not the spatial distance calculated in step S5 is greater than or equal to a threshold value (step S6). In other words, the approximation determination unit 34 determines whether or not the distance between the coordinates of the trajectories of the two swings at which the impact time points are matched is greater than or equal to the threshold. When the approximate determination unit 34 determines that the spatial distance calculated in step S5 is greater than or equal to the threshold (
"No" in S6), the process proceeds to step S7. If the approximate determination unit 34 determines that the spatial distance calculated in step S5 is not greater than or equal to the threshold (“Yes” in S6), the process proceeds to step S8.

When the approximation determination unit 34 determines in step S6 that the spatial distance is equal to or greater than the threshold (S
6 "Yes"), it is determined that the reference swing and the contrast swing are not approximated (step S7). Then, the approximate determination unit 34 outputs the determination result to the image generation unit 35, and ends the execution of the process of the flowchart.

If it is determined in step S6 that the spatial distance is not greater than or equal to the threshold ("No" in S6),
The divergence degree calculation unit 33 shifts the sample point of the locus of the reference swing and the contrast swing by one toward the top timing, and acquires the coordinates of the sample point shifted by one (step S8).

Next, the divergence degree calculation unit 33 determines that the coordinates of the trajectory of the contrast swing acquired in step S8 are
It is determined whether or not the top coordinates are exceeded (step S9). The divergence degree calculating unit 33 determines that the coordinates of the trajectory of the contrast swing acquired in step S8 exceed the coordinates of the top (
"Yes" in S9), the process proceeds to step S10. When it is determined that the coordinates of the trajectory of the contrast swing acquired in step S8 do not exceed the top coordinates (“No” in S9), the divergence degree calculation unit 33 proceeds to step S5.

When it is determined in step S9 that the coordinates of the trajectory of the contrast swing acquired in step S8 exceed the coordinates of the top (“Yes” in S9), the approximation determination unit 34 approximates the reference swing and the contrast swing. (Step S10). Then, the approximate determination unit 34
Outputs the determination result to the image generation unit 35, and ends the execution of the process of the flowchart.

In this way, the divergence degree calculation unit 33 of the swing analysis apparatus 2 combines the impact time of the coordinates of the reference swing trajectory and the impact time of the coordinates of the contrast swing trajectory to obtain the reference swing trajectory and the contrast swing trajectory. The degree of deviation is calculated. Then, the approximate determination unit 34 determines whether or not the reference swing and the comparison swing are approximated based on the divergence degree calculated by the divergence degree calculation unit 33. Thereby, the user can objectively grasp the quality of his / her swing.

Further, the divergence degree calculation unit 33 combines the coordinates of the reference swing trajectory at the time of impact and the coordinates of the contrast swing trajectory to calculate the divergence degree between the reference swing trajectory and the contrast swing trajectory in the downswing. Thereby, the user can objectively grasp the quality of the swing in the downswing from the top to the impact, which is an important index of the swing motion.

In the above description, the divergence degree calculation unit 33 calculates the divergence degree between the trajectory of the reference swing and the trajectory of the contrast swing. However, the angle of the hitting surface of the golf club in the reference swing (the first time series of the present invention). Information) and the angle of the hitting surface of the golf club in the comparison swing (corresponding to the second time-series information of the present invention) (the difference between the angles of the two hitting surfaces) Good. Then, the approximation determination unit 34 may determine the approximation of the two swings from the angle difference between the hitting surfaces of the golf clubs of the two swings. The angle of the hitting surface of the golf club is calculated by the motion analysis unit 31. For example, the coordinates of the reference swing at each sample point indicated by the arrow A1 in FIG. 3 are the angles of the hitting surfaces of the golf clubs of the reference swing. Further, the coordinates of the contrast swing at each sample point indicated by the arrow A2 in FIG. 3 are the angles of the hitting surfaces of the golf clubs of the contrast swing.

In addition, the reference swing and contrast swing for which the degree of divergence is calculated are downswings,
It is not limited to this. For example, the divergence degree calculation unit 33 may determine the divergence degree from the halfway down to the impact. That is, the divergence degree calculation unit 33 may calculate the divergence degree of the trajectory between the reference swing and the contrast swing in a part of the downswing. Further, the reference swing and the contrast swing from which the degree of divergence is calculated may be a backswing.

Further, the divergence degree calculation unit 33 may use a predetermined point in time for matching the trajectory of the reference swing and the contrast swing as the top or address.

Further, the divergence degree calculation unit 33 may change (select) a predetermined section for calculating the divergence degree between the reference swing and the contrast swing in accordance with a user operation. For example, the divergence degree calculation unit 33 calculates the divergence degree of the trajectory between the reference swing and the contrast swing in the downswing or the divergence degree of the trajectory between the reference swing and the contrast swing in the back swing according to the user's operation. May be calculated. At this time, the approximation determination unit 34 may change the threshold value for determining the approximation of the two swings in a predetermined section selected by the user. For example, the approximate determination unit 34 makes the threshold value in the downswing, which is important as the swing motion, smaller than the threshold value in the backswing.

In addition, when the ideal swing of the user is a swing of another person such as a professional golfer, the trajectory of the contrast swing and the reference swing may differ depending on the height of the user and the length of the golf club used by the user. Even if the user's ideal swing is the user's past swing, the trajectory of the comparison swing and the reference swing may differ depending on the length of the golf club to be used. In this case, the divergence calculation unit 33
One of the trajectory of the reference swing and the trajectory of the contrast swing may be scaled to calculate the divergence degree. For example, the divergence degree calculation unit 33 receives the height of the golf club used for the user's own height or swing from the user. Further, the divergence degree calculation unit 33 acquires information on the height of the other person who performed the ideal swing and the length of the golf club used when the swing was performed. Then, the divergence degree calculation unit 33 may calculate one of the divergence degrees by scaling one of the trajectory of the comparison swing and the trajectory of the reference swing according to the received height and the length of the golf club.

Further, the divergence degree calculation unit 33 may calculate a divergence degree (similarity) between the waveform (shape) of the reference swing trajectory and the waveform of the contrast swing trajectory. In this way, when the divergence between the waveform of the reference swing trajectory and the waveform of the contrast swing trajectory is calculated, only the difference between the two swing paths appears as the divergence, and the difference in swing speed is expressed as the divergence. It does not appear. For example, when the deviation degree between the waveform of the reference swing trajectory and the waveform of the contrast swing trajectory is calculated, FIG.
As shown by the arrow A6, if the paths of the two swings are substantially the same, even if the swing speeds of the two swings are significantly different, the degree of divergence is small. That is, in this case, it is determined that the two swings are approximate.

In addition, when the approximation determination unit 41 determines that the reference swing and the contrast swing are not approximate, the audio output unit 26 may output a sound that notifies the user to that effect.
As a result, the user can recognize, for example, by voice whether or not his / her swing is close to the ideal swing, and does not have to check the screen of the swing analysis device 2 each time the user swings.

The present invention can also be applied to a camera-type swing analysis apparatus. For example, the coordinates of the swing trajectory of the golf club photographed by the camera are calculated by image analysis. Then, the divergence degree calculation unit 33 calculates the divergence degree between the coordinates of the trajectory of the reference swing and the coordinates of the trajectory of the contrast swing, and the approximation determination unit 34 calculates the divergence degree from the divergence degree calculated by the divergence degree calculation unit 33. It is determined whether or not the two swings are approximate.

[Second Embodiment]
In the second embodiment, a portion that is approximated to a reference swing of the comparison swing and a portion that is not approximated are displayed in different display forms.

FIG. 7 is a diagram illustrating an example of functional blocks of the sensor unit 1 and the swing analysis device 2 according to the second embodiment. In FIG. 7, the same components as those in FIG.
The description is omitted.

As illustrated in FIG. 7, the control unit 21 of the swing analysis device 2 includes an approximation determination unit 41 and an image generation unit 42. When the deviation degree between the reference swing trajectory and the contrast swing trajectory is equal to or greater than the threshold, the approximation determination unit 41 holds the coordinates of the contrast swing trajectory in which the deviation degree is equal to or greater than the threshold in the storage unit 22.

The image generation unit 42 combines predetermined time points of the trajectories of the reference swing and the contrast swing, and generates image data including the trajectories of the reference swing and the contrast swing in the predetermined section. For example,
The image generation unit 42 combines the impacts of the trajectories of the reference swing and the comparison swing, and generates image data including the trajectories of the reference swing and the comparison swing in the downswing.

When the image generation unit 42 generates image data including the trajectory of the reference swing and the comparison swing in the downswing, the display form shows a portion approximated to the reference swing of the comparison swing and a portion not approximated. Image data is generated differently. For example, the image generation unit 42 displays, in the storage unit 22, the display form of the coordinate swing trajectory (the trajectory determined not to approximate the reference swing by the approximation determination unit 41) held in the storage unit 22. Display data is generated so as to be different from the display form of the trajectory of the coordinates of the contrast swing that is not held.

FIG. 8 is a diagram illustrating a screen example of the reference swing and the contrast swing. The image data generated by the image generation unit 42 is output to the display unit 25 and displayed on the screen. An image 51 illustrated in FIG. 8 illustrates a screen example displayed on the screen of the display unit 25.

A trajectory L11 shown in the image 51 indicates the trajectory of the reference swing. A trajectory L12 indicates a trajectory of the contrast swing. As shown in the image 51, the portion where the degree of deviation from the reference swing locus L11 of the contrast swing locus L12 is equal to or greater than the threshold value is displayed in a different manner from the other portions. For example, a portion whose degree of deviation from the reference swing locus L12 of the contrast swing locus L12 is greater than or equal to a threshold value is displayed to be thicker than the other portions. In addition,
In the example of the image 51, the thickness of the locus is changed, but the color of the locus may be changed.

FIG. 9 is a flowchart showing an operation example of the swing analysis apparatus 2. In FIG.
The same processes as those in FIG. 6 are denoted by the same reference numerals, and the description thereof is omitted. In the flowchart shown in FIG. 9, the processing of step S21 and step S22 is different from the flowchart of FIG.

When the approximation determination unit 34 determines in step S6 that the spatial distance is equal to or greater than the threshold (S
6 "Yes"), the coordinates of the trajectory of the contrast swing determined that the spatial distance is equal to or greater than the threshold,
The data is stored in the storage unit 22 (step S21).

In step S9, when it is determined that the coordinates of the trajectory of the contrast swing acquired in step S8 exceed the coordinates of the top (“Yes” in S9), the image generation unit 42 selects the trajectory of the reference swing in the downswing. And image data including the trajectory of the contrast swing (
Step S22). At this time, the image generation unit 42 generates image data for the trajectory of the contrast swing coordinate stored in the storage unit 22 so that the display form is different from the trajectory of other portions. Then, the image generation unit 42 outputs the generated image data to the display unit 25.

As described above, the image generation unit 42 generates image data so that the display form differs between the portion approximated to the reference swing of the comparison swing and the portion not approximated. Thereby, the user can grasp | ascertain in which part his swing is approximated with respect to an ideal swing.

In the above description, the image generation unit 42 has changed the display form of the trajectory of the contrast swing, but may change the display form of the trajectory of the reference swing. For example, the image generation unit 42 may generate the image data so that a portion of the reference swing trajectory whose degree of deviation from the contrast swing trajectory is equal to or greater than a predetermined threshold is thicker than the other portions. The image generation unit 42 may change the display form of the trajectory of both the reference swing and the contrast swing.

As mentioned above, although this invention was demonstrated using embodiment, in order to make an understanding of the structure of a swing analysis system easy, the functional structure of the swing analysis system mentioned above is classified according to the main processing content. The present invention is not limited by the way of classification and names of the constituent elements. The configuration of the swing analysis system can be classified into more components depending on the processing content. Moreover, it can also classify | categorize so that one component may perform more processes. Further, the processing of each component may be executed by one hardware or may be executed by a plurality of hardware.

In addition, each processing unit in the flowchart described above is divided according to the main processing contents in order to facilitate understanding of the processing of the swing analysis system. The present invention is not limited by the way of dividing the processing unit or the name. The processing of the swing analysis system can be divided into more processing units according to the processing content. Moreover, it can also divide | segment so that one process unit may contain many processes. Further, the order of processing is not limited to the above flowchart.

Further, the technical scope of the present invention is not limited to the scope described in the above embodiment. It will be apparent to those skilled in the art that various changes and modifications can be made to the above-described embodiment. For example, the present invention can be applied to a swing analysis system (swing analysis device) for various exercises such as tennis and baseball. Further, it is apparent from the scope of the claims that embodiments with such changes or improvements can also be included in the technical scope of the present invention. In addition, the embodiments can be combined. The present invention can also be provided as a swing analysis method, a program for a swing analysis device, and a storage medium storing the program.

1: Sensor unit 2: Swing analysis device C1: Golf club U1: User 31: Motion analysis unit 32: Event detection unit 33: Deviation degree calculation unit 34: Approximation determination unit 35: Image generation unit 41: Approximation determination unit 42: Image Generation unit 51: image

Claims (9)

An event detection unit for detecting a first event related to the first swing and a second event related to the second swing using an output of the inertial sensor;
A motion analyzer for analyzing the first swing and the second swing;
An image generation unit that generates image data obtained by combining the result of the analysis by the motion analysis unit, the first event, and the second event;
A swing analyzing apparatus characterized by comprising: The swing analysis apparatus according to claim 1,
The swing analysis apparatus according to claim 1, wherein the inertial sensor is attached to a user or an exercise equipment. The swing analysis device according to claim 1 or 2,
The first event and the second event are any of address, top, halfway down, impact, follow-through, finish, backswing, and downswing.
Swing analysis device The swing analysis device according to any one of claims 1 to 3,
The first event and the second event are either impact, top, or address.
A swing analyzer characterized by that. The swing analysis device according to any one of claims 1 to 4,
The first event and the second event are selectable,
A swing analyzer characterized by that. The swing analysis device according to any one of claims 1 to 3,
The image generation unit generates image data including first time-series information regarding the first swing and second time-series information regarding the second swing;
A swing analyzer characterized by that.
The swing analysis apparatus further comprising: Detecting a first event related to the first swing and a second event related to the second swing using the output of the inertial sensor;
Analyzing the first swing and the second swing;
Generating image data combining the result analyzed by the motion analysis unit, the first event, and the second event;
A swing analysis method characterized by comprising: Detecting a first event relating to the first swing and a second event relating to the second swing using the output of the inertial sensor;
Analyzing the first swing and the second swing;
A procedure for generating image data combining the result of analyzing the motion analysis unit, the first event, and the second event;
A program characterized by causing a computer to execute. An inertial sensor,
An event detection unit for detecting a first event related to the first swing and a second event related to the second swing using an output of the inertial sensor;
A motion analysis unit that analyzes the first swing and the second swing, a result of analysis by the motion analysis unit, and image data that combines the first event and the second event are generated. A swing analysis device characterized by comprising:
Swing analysis system characterized by having

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