JP7102693B2 - How to fit the grip of the hitting tool - Google Patents

Description

The present invention relates to a fitting method, device and program for fitting the grip of a hitting tool to a player.

Conventionally, a method of fitting a golf club to a player has been known based on measurement data obtained by measuring the behavior of the hitting tool when the player swings the hitting tool. For example, Patent Documents 1 and 2 disclose a method of selecting a shaft suitable for a golfer, Patent Document 3 discloses a method of selecting a head suitable for a golfer, and Patent Document 4 discloses a method of selecting a head suitable for a golfer. It discloses a method of selecting a suitable combination of a head and a shaft.

Japanese Unexamined Patent Publication No. 2014-212862 Japanese Unexamined Patent Publication No. 2013-226375 Japanese Unexamined Patent Publication No. 2012-95850 Japanese Unexamined Patent Publication No. 2010-155074

When fitting a golf club, the main focus so far has been to select a head and shaft suitable for the golfer. Grips, on the other hand, are generally lighter than heads and shafts and have not been considered much in the fitting of golf clubs. However, the quality of a golf swing can also depend on the attributes of the grip. In recent years, a wide variety of grips have been developed in terms of weight, material, hardness, thickness, length, etc., and the player can select a grip suitable for himself / herself from such a wide variety of grips. Is extremely difficult. However, it is not appropriate to select a grip for the dark clouds, for example, considering only the price and player's taste. After all, when selecting a grip, from the viewpoint of obtaining a good golf swing, the characteristics when the player swings the hitting tool (hereinafter, may be referred to as the player characteristics) should be taken into consideration.

It is an object of the present invention to provide a fitting method, device and program capable of determining a grip suitable for a player while considering player characteristics.

The fitting method according to the first aspect is a fitting method for fitting the grip of the hitting tool to the player, and includes the following steps.
(1) A step of acquiring measurement data that measures the behavior of the hitting tool when the player swings the hitting tool using a measuring device.
(2) A step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, based on the measurement data.
(3) A step of determining an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.

The fitting method according to the second aspect is the fitting method according to the first aspect, and further includes the following steps.
(4) A step of proposing to the player at least one of the proper grip attribute and a grip matching the proper grip attribute.

The fitting method according to the third viewpoint is the fitting method according to the first viewpoint or the second viewpoint, and the step (2) above includes the following steps.
(2-1) A step of calculating the center of rotation of the hitting tool when the player swings the hitting tool as the player characteristic based on the measurement data.

The fitting method according to the fourth aspect is the fitting method according to the third aspect, and further includes the following steps.
(5) A step of determining a gripping position of the grip when the player swings the hitting tool.
Further, the step (3) above includes the following steps.
(3-1) A step of determining a separation distance between the position of the center of rotation and the gripping position, and determining the appropriate grip attribute based on the separation distance.

The fitting method according to the fifth aspect is the fitting method according to the third aspect or the fourth aspect, and the step (2-1) above includes the following steps.
(2-1-1) Data included in the measurement data, which is data when the player performs a waggle motion, and the player gives only a rotational motion without giving a translational motion to the hitting tool. A step of calculating the position where the movement of the hitting tool is minimized as the rotation center based on at least one of the data when the hitting tool is operated intentionally.

The fitting method according to the sixth aspect is the fitting method according to any one of the first to fifth aspects, and the step (2) above includes the following steps.
(2-2) A step of calculating the strength of the gripping force for gripping the grip when the player swings the hitting tool as the player characteristic based on the measurement data.

The fitting method according to the seventh aspect is the fitting method according to the sixth aspect, and the step (2-2) above includes the following steps.
(2-2-1) A step of specifying the magnitude of a predetermined frequency component included in the measurement data and calculating the strength of the gripping force according to the magnitude of the predetermined frequency component.

The fitting method according to the eighth viewpoint is a fitting method according to any one of the first to fourth viewpoints and the sixth viewpoint, and the step (1) above includes the following steps.
(1-1) A step of acquiring first measurement data in which the behavior of the hitting tool is measured when the player swings the hitting tool by using the first measuring device included in the measuring device.
(1-2) A step of acquiring a second measurement data in which the behavior of the hitting tool is measured when the player swings the hitting tool by using the second measuring device included in the measuring device.
Further, the step (2) above includes the following steps.
(2-3) A step of analyzing the deformation of the hitting tool according to a model using the player characteristic as an analysis parameter based on the first measurement data.
(2-4) A step of specifying a result value for a predetermined behavior of the hitting tool, which represents the result of the player swinging the hitting tool based on the second measurement data.
(2-5) A step of determining the analysis parameter so that the analysis result of the deformation of the hitting tool matches the result value.

The fitting method according to the ninth aspect is the fitting method according to the eighth aspect, and the predetermined behavior includes at least one of a speed, an angle, and a traveling direction of a predetermined portion included in the hitting tool.

The fitting method according to the tenth viewpoint is the fitting method according to any one of the first to ninth viewpoints, and the appropriate grip attribute includes the weight, thickness, and hardness of the grip suitable for the player. At least one of material and length is included.

The fitting method according to the eleventh viewpoint is a fitting method according to any one of the first to tenth viewpoints, and the hitting tool is a golf club.

The fitting method according to the twelfth viewpoint is a fitting method according to any one of the first to eleventh viewpoints, and further includes the following steps.
(6) A step of proposing to the player a method of gripping the grip based on the player characteristics.

The fitting device according to the thirteenth aspect is a fitting device that fits the grip of the hitting tool to the player, and includes an acquisition unit, a characteristic determination unit, and an attribute determination unit. The acquisition unit uses a measuring device to acquire measurement data that measures the behavior of the hitting tool when the player swings the hitting tool. The characteristic determination unit determines a player characteristic, which is a characteristic when the player swings the hitting tool, based on the measurement data. The attribute determination unit determines an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.

The fitting program according to the fourteenth aspect is a fitting program for fitting the grip of the hitting tool to the player, and causes the computer to perform the following steps.
(1) A step of acquiring measurement data that measures the behavior of the hitting tool when the player swings the hitting tool.
(2) A step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, based on the measurement data.
(3) A step of determining an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.

It is possible to determine the grip suitable for the player while considering the player characteristics.

The figure which shows the whole structure of the fitting system including the fitting apparatus which concerns on 1st Embodiment. Functional block diagram of the fitting system. A perspective view of a golf club. (A) The figure which shows the address state. (B) The figure which shows the top state. (C) The figure which shows the impact state. (D) The figure which shows the finish state. The figure explaining the movement of the golf club at the time of waggle operation. Graph of angular velocity during golf swing by a golfer with strong grip. Graph of angular velocity during golf swing by a golfer with weak grip. The graph of the frequency spectrum of the angular velocity of FIG. 6A. The graph of the frequency spectrum of the angular velocity of FIG. 6B. A graph of the frequency spectrum of the angular velocity when a golfer intentionally holds a golf club strongly and swings it. The graph of the frequency spectrum of the angular velocity when the golf club was intentionally weakly grasped and swung by the same golfer as in FIG. 8A. The flowchart which shows the flow of the fitting method which concerns on 1st Embodiment. Graph of the locus of the grip end calculated from the measurement data before and after the correction based on the center of rotation. The side view of the fitting system including the fitting apparatus which concerns on 2nd Embodiment. Front view of the fitting system. Top view of the fitting system. A functional block diagram showing the configuration of a fitting system. The figure which shows the position of the marker attached to a head. The flowchart which shows the flow of the fitting method which concerns on 2nd Embodiment. The figure explaining the analysis model of the deformation of the shaft according to the finite element method.

Hereinafter, fitting devices, methods, and programs according to some embodiments of the present invention will be described with reference to the drawings.

<1. First Embodiment>
<1-1. Overview of fitting system>
1 and 2 show an overall configuration diagram of the fitting system 100 including the fitting device 1 according to the first embodiment. The fitting system 100 is configured to assist the golfer 7 in fitting the grip 51 of the golf club 5. The fitting device 1 determines the player characteristics based on the measurement data obtained by measuring the behavior of the golf club 5 when the golfer 7 swings the golf club 5. The player characteristic is a characteristic when the golfer 7 swings the golf club 5. Then, in consideration of the player characteristics determined in this way, the attributes of the grip 51 suitable for the golfer 7 (hereinafter, may be referred to as appropriate grip attributes) and the information regarding the grip 51 matching the attributes are determined, and these information are obtained. Provided to the user. The term "user" as used herein is a general term for a golfer 7 himself, an instructor thereof, a fitter performing the fitting, and the like, who require a fitting result. The behavior of the golf club 5 is measured by the measuring device 2, which constitutes the fitting system 100 together with the fitting device 1. Hereinafter, the configuration of each part of the fitting system 100 will be described, and then the fitting method by the fitting system 100 will be described.

<1-2. Details of each part>
<1-2-1. Measuring equipment ＞
The measuring device 2 according to the present embodiment is composed of an inertial sensor unit (hereinafter, the inertial sensor unit is also designated by reference numeral 2). As shown in FIG. 1, the inertial sensor unit 2 is attached to the grip end 51a, which is the end of the grip 51 of the golf club 5 opposite to the head 53, and measures the behavior of the grip end 51a. As shown in FIG. 3, the golf club 5 is a general golf club, and is composed of a shaft 52, a head 53 provided at one end of the shaft 52, and a grip 51 provided at the other end of the shaft 52. To The inertial sensor unit 2 is compact and lightweight so as not to interfere with the swing operation.

As shown in FIG. 2, the inertial sensor unit 2 according to the present embodiment is equipped with an acceleration sensor 41, an angular velocity sensor 42, and a geomagnetic sensor 43. Further, the inertial sensor unit 2 is also equipped with a communication device 40 for transmitting measurement data output from these sensors 41 to 43 to an external device such as a fitting device 1 via a communication line 17. .. In the present embodiment, the communication device 40 is wireless so as not to interfere with the swing operation, but it may be connected to the fitting device 1 by wire via a cable.

The acceleration sensor 41, the angular velocity sensor 42, and the geomagnetic sensor 43 measure the acceleration, the angular velocity, and the geomagnetism in the xyz local coordinate system, respectively. More specifically, the acceleration sensor 41 measures the accelerations a _x , a _y , and a _z of the grip end 51a in the x-axis, y-axis, and z-axis directions. The angular velocity sensor 42 measures the angular velocities ω _x , ω _y , and ω _z of the grip end 51a around the x-axis, y-axis, and z-axis. The geomagnetic sensor 43 measures the geomagnetism _{mx, my, m z in} the _x -axis, y-axis, and z-axis directions at the grip end 51a. The measurement data related to these accelerations, angular velocities and geomagnetism are acquired as time series data having a predetermined short sampling period.

The xyz local coordinate system is a 3-axis Cartesian coordinate system defined as shown in FIG. That is, the z-axis coincides with the extending direction of the shaft 52, and the direction from the head 53 to the grip 51 is the z-axis positive direction. The y-axis is oriented so as to be as close as possible to the flying ball direction at the time of addressing the golf club 5, that is, substantially along the face-back direction, and the direction from the back side to the face side is the positive direction of the y-axis. .. The x-axis is oriented so as to be orthogonal to the y-axis and the z-axis, that is, substantially along the toe-heel direction, and the direction from the heel side to the toe side is the x-axis positive direction. The origin of the xyz local coordinate system is the grip end 51a.

Golf swings generally proceed in the order of address, top, impact, and finish. The address means a stationary state in which the head 53 is arranged near the ball as shown in FIG. 4 (A), and the top means a takeback of the golf club 5 from the address as shown in FIG. 4 (B). It means the state in which the head 53 is swung up most. The impact means the state at the moment when the golf club 5 is swung down from the top and the head 53 collides with the ball as shown in FIG. 4 (C), and the finish means the state at the moment when the head 53 collides with the ball, and the finish means as shown in FIG. 4 (D). It means a state in which the golf club 5 is swung forward after the impact. Also, in general, the golfer 7 performs a waggle operation before the address. The waggle motion refers to a motion of swinging the golf club 5 from side to side as if the golfer 7 rotates the head 53 around the vicinity of the position where the grip 51 is gripped by the hand 71 in order to determine the position of the address. (See FIG. 5). In the description of this embodiment, unless otherwise specified, the golf swing includes a waggle motion.

In the present embodiment, the measurement data from the acceleration sensor 41, the angular velocity sensor 42, and the geomagnetic sensor 43 are transmitted to the fitting device 1 in real time via the communication device 40. However, for example, the measurement data may be stored in the storage device in the inertial sensor unit 2, and the measurement data may be taken out from the storage device after the swing operation is completed and passed to the fitting device 1.

<1-2-2. Fitting device>
The fitting device 1 is a general-purpose computer as hardware, and is realized as, for example, a desktop computer, a notebook computer, a tablet computer, or a smartphone. As shown in FIG. 2, the fitting device 1 is manufactured by installing the fitting program 6 on a general-purpose computer from a computer-readable recording medium 30 such as a CD-ROM or via a communication line such as the Internet. To. The fitting program 6 is software for assisting in selecting a grip 51 suitable for the golfer 7 based on the measurement data sent from the measuring device 2, and causes the fitting device 1 to execute an operation described later.

The fitting device 1 includes a display unit 11, an input unit 12, a storage unit 13, a control unit 14, and a communication unit 15. These units 11 to 15 are connected to each other via a bus line 16 and can communicate with each other. The display unit 11 can be configured by a liquid crystal display or the like, and displays the analysis result of the golf swing or the like to the user. The input unit 12 can be composed of a mouse, a keyboard, a touch panel, and the like, and receives an operation from the user for the fitting device 1.

The storage unit 13 can be configured by a hard disk or the like. In addition to storing the fitting program 6, the storage unit 13 stores measurement data sent from the measuring device 2. Further, the grip database 60 is stored in the storage unit 13. Information about various types of grips 51 is stored in the grip database 60, and more specifically, attribute information representing the attributes of the grips 51 is stored in association with the identification information (manufacturer, model number, etc.) of the grips 51. Has been done. The control unit 14 can be composed of a CPU, a ROM, a RAM, and the like. By reading and executing the fitting program 6 in the storage unit 13, the control unit 14 virtually acquires the acquisition unit 14a, the characteristic determination unit 14b, the attribute determination unit 14c, the fitting unit 14d, the method proposal unit 14e, and the display control unit. It operates as 14f. Details of the operation of each part 14a to 14f will be described later. The communication unit 15 functions as a communication interface for transmitting and receiving data to and from an external device such as the measuring device 2.

<1-3. Grip fitting method>
Hereinafter, a fitting method for fitting the grip 51 to the golfer 7 will be described. In the fitting method according to the present embodiment, the player characteristic, which is a characteristic when the golfer 7 swings the golf club 5, is taken into consideration. The player characteristics are determined based on measurement data that measures the behavior of the golf club 5 when the golfer 7 swings the golf club 5. In the present embodiment, as a player characteristic, the center of rotation C in the golf club 5 when the golfer 7 swings the golf club 5, and the strength of the gripping force for gripping the grip 51 when the golfer 7 swings the golf club 5. Is calculated. In the following, the algorithm for calculating the strength of the gripping force will be described first, and then the flow of the fitting method will be described.

<1-3-1. Algorithm for determining the strength of gripping force>
The present inventors conducted the experiments described below, and based on the time-series data representing the behavior of the hitting tool when the player swings the hitting tool, the strength of the gripping force at which the player grips the grip of the hitting tool. It was found that it is possible to determine.

In this experiment, a golfer was made to perform a golf swing. At this time, a golf club having an inertia sensor unit attached to the grip end, such as the golf club 5 described above, was used. FIG. 6A shows an example of time-series data of the angular velocity ω _z output from the angular velocity sensor during a golf swing by a golfer having a strong gripping force (hereinafter referred to as a strong golfer). Further, FIG. 6B shows an example of time-series data of the angular velocity ω _z output from the angular velocity sensor during a golf swing by a golfer having a weaker gripping force than a strong golfer (hereinafter referred to as a weak golfer). The strength of the gripping force here was visually determined. Zeros on the horizontal axis of FIGS. 6A and 6B represent the timing of impact.

The present inventors are accumulating a large amount of time-series data representing the behavior of a golf club during a golf swing by a strong golfer and a weak golfer, and such data is based on the strength of the golfer's gripping force. It was discovered that a peculiar waveform appears. More specifically, as shown in FIG. 6A, the waveform representing the behavior of a golf club swung by a strong golfer is relatively smooth, whereas a similar waveform by a weak golfer is observed with small peaks. Was done. That is, it was found that the waveform of a weak golfer contains more high-frequency components than the waveform of a strong golfer.

Frequency analysis was performed to confirm the above findings more accurately. 7A and 7B are graphs of frequency spectra obtained by frequency-analyzing the time-series data of FIGS. 6A and 6B after passing them through a bandpass filter (which extracts a band of 5 to 20 Hz), respectively. According to the figure, a peak appears in the frequency spectrum of a weak golfer near 7 to 10 Hz, but such a peak does not appear in the frequency spectrum of a strong golfer.

From the above experiments, it was found that the magnitude of the frequency component included in the time-series data representing the behavior of the golf club during a swing changes according to the strength of the gripping force for gripping the golf club. Therefore, it was found that the strength of the gripping force can be determined by acquiring time-series data representing the behavior of the golf club during a swing and specifying the magnitude of a predetermined frequency component contained therein. .. It is considered that this is because the vibration characteristics of the hitting tool change according to the strength of the gripping force of the golfer.

8A and 8B show the results when the same golfer intentionally changes the gripping force to perform a golf swing, and FIG. 8B shows a case where the same golfer intentionally strongly grips the golfer. Shows the case where is intentionally weakly gripped. In the case of this experiment as well, the frequency spectrum of the angular velocity ω _z when the gripping force is weak has a large peak near 7 to 10 Hz, but the frequency spectrum of the angular velocity ω _z when the gripping force is strong is similar. There are no large peaks. Therefore, the certainty of the above findings was further confirmed.

Further, returning to FIGS. 6A and 6B, high frequency components are mainly confirmed in the period from impact-2 seconds to impact-0.5 seconds. This period corresponds to the period of backswing from the address to the top. In other words, when swinging up the golf club like during a backswing, the golf club is moving relatively slowly compared to when swinging down the golf club after the top, so the gripping force of the golfer is small. It is thought that this is because the effect of is more pronounced. In addition, when the movement is fast, the gripping force tends to be large, so that the slow behavior is more likely to cause a difference between golfers. Therefore, it is considered that more accurate analysis will be possible by paying attention to the data during the period when the movement of the hitting tool is relatively slow.

<1-3-2. Flow of fitting method>
The fitting method of the grip 51 proceeds according to the flowchart shown in FIG. First, in step S1, the golf club 5 with the inertial sensor unit 2 is swung by the golfer 7, and the golf club 5 held by the golfer 7 is given a motion including rotation. At this time, the behavior of the golf club 5 is measured by the measuring device 2. More specifically, the inertial sensor unit 2 allows the grip end 51a to have accelerations a _x , a _y , a _z , angular velocities ω _x , ω _y , ω _z and geomagnetic m _x , m in the xyz local coordinate system in the three axial directions. Measurement data related to _y and m _z are acquired and transmitted to the fitting device 1 via the communication device 40. On the other hand, on the fitting device 1 side, the acquisition unit 14a receives this via the communication unit 15 and stores it in the storage unit 13. In this embodiment, measurement data of at least the period of waggle operation and the subsequent period from the address to the finish are collected.

In the following step S2, the characteristic determination unit 14b derives the address, top, and impact times based on the measurement data stored in the storage unit 13. Since various algorithms for calculating the address, top and impact times based on the above measurement data are known, detailed description thereof will be omitted here.

After step S2, steps S11 to S14 and steps S21 to S25 are executed in parallel. However, these steps S11 to S14 and steps S21 to S25 may be executed in order, and the order of execution is not particularly limited. Both steps S11 to S14 and steps S21 to S25 are steps for determining an appropriate grip attribute, which is an attribute of the grip 51 suitable for the golfer 7. In steps S11 to S14, the rotation center C as a player characteristic is calculated, and the appropriate grip attribute regarding the thickness and weight of the grip is determined based on this. On the other hand, in S21 to S25, the strength of the gripping force as a player characteristic is calculated, and the appropriate grip attribute regarding the material and hardness of the grip is determined based on this.

First, steps S11 to S14 will be described. In step S11, the characteristic determination unit 14b refers to the time of the address derived in step S2, and measures during the waggle operation performed before the address from the measurement data stored in the storage unit 13. Extract data (hereinafter referred to as waggle data). The waggle data is data representing the movement given to the golf club 5 when the golfer 7 is performing the waggle movement.

In step S12, the characteristic determination unit 14b calculates the rotation center C of the golf club 5 during the swing based on the waggle data. The position of the rotation center C in the golf club 5 is peculiar to the golfer 7, and represents the player characteristic. Hereinafter, an algorithm for calculating the rotation center C will be described with reference to FIG.

During the golf swing, the golfer 7 grips the grip 51 with the hand 71 and gives the golf club 5 a motion including rotation. As shown in FIG. 5, the movement of the golf club 5 during the waggle operation is mainly a rotational movement around the center of rotation C, and almost no translational component is generated. Therefore, during the waggle operation, the movement of the golf club 5 is minimized at the rotation center C. Therefore, in the present embodiment, the position where the movement is minimized in the golf club 5, more specifically, the position where the magnitude of the acceleration becomes zero in the golf club 5 is calculated as the position of the rotation center C.

Here, the coordinates of an arbitrary point on the golf club 5 in the xyz local coordinate system are represented by d. Since the z-axis of the xyz local coordinate system is defined along the longitudinal direction of the golf club 5, it can be expressed as d = (0, 0, d _z ). Further, d represents a relative position with respect to the grip end 51a which is the origin of the xyz local coordinate system, and the magnitude of dz of the _z component represents the distance from the grip end 51a. At this time, the acceleration of the point at the coordinate d on the golf club 5 is expressed according to the following equation. However, a _s = (ax, a _y , a _z ), ω _{s =} (ω _x , ω _y , ω _z ), and [G] is a coordinate transformation matrix from the xyz local coordinate system to the inertial coordinate system. Is. The tilde represents a tensor.

Then, the magnitude of the acceleration of Equation 1 is minimized, that is, becomes zero when the following equation holds.

The characteristic determination unit 14b calculates d representing the position of the rotation center C by substituting the values of the acceleration as and the angular _{velocity ω s included} in the waggle data into the equation of Equation 2. Note that d can be calculated if there is a data set of acceleration a _s and angular velocity ω _s at one timing. However, in the present embodiment, from the viewpoint of improving the accuracy, d is calculated for the data sets of the acceleration a _s and the angular velocity ω _s at a plurality of timings during the waggle operation, and these are averaged. Alternatively, the equation on the left side of Equation 2 may be integrated over the period of waggle operation to calculate d such that this becomes 0.

A golf swing is composed of a complex combination of translational motion and rotational motion. In the present embodiment, the influence of the translational motion is small, and by focusing mainly on the data during the motion including the rotational motion, the translational motion and the rotational motion can be separated, and the rotation center C of the rotational motion can be derived accurately. ..

FIG. 10 is a graph of the locus of the grip end derived by the simulation actually performed by the present inventors in order to confirm that the rotation center C can be appropriately calculated by the above algorithm. In this simulation, the golfer was made to swing a golf club with an inertial sensor unit, and the measurement data of the acceleration as and the angular _{velocity ω s at} the grip end were acquired. Then, according to the above algorithm, the rotation center C is calculated from the measurement data of the acceleration a _s and the angular velocity ω _s during the waggle operation, and based on the calculated rotation center C, the acceleration a _x , a _y , from the address to the finish, The measurement data of a _z was corrected. Since the position of the inertial sensor unit is offset by the distance _dz from the rotation center C at the accelerations a _x , a _y , and _az at the grip end measured by the inertial sensor unit, the rotation component around the rotation center C is present. included. This rotation component is an acceleration due to the influence of the angular velocity and the angular acceleration generated at the position of the inertial sensor unit with the rotation around the rotation center C. Therefore, by calculating this rotation component (the second term on the left side of Equation 2) based on the center of rotation C and removing it from as, the corrected acceleration at the grip end a _s ' ₌ (ax' ₎ . , A _y ', a _z ') data were calculated.

The locus of the grip end during the golf swing shown in FIG. 10 is obtained by converting the time series data of the accelerations as and _as'in the _xyz local coordinate system into the values in the inertial coordinate system, and then the time series of the converted acceleration. It was calculated by integrating the data twice. The “before correction” graph in FIG. 10 is a graph of the locus of the grip end derived from the time series data of the acceleration as and the angular _{velocity ω s without} correcting the acceleration as based on the rotation center C. The "after correction" graph is a graph of the locus of the grip end derived from the time-series data of the corrected acceleration _as'and the angular _{velocity ω s after} correcting the acceleration as based on the rotation center C. When calculating the corrected graph, the center of rotation C was calculated and found to be d _z = 19.15 cm. As you can see by comparing these graphs, the graph before correction is jagged, and noise that seems to be due to angular velocity and angular acceleration is confirmed in the graph, but such noise is confirmed from the graph after correction. Can be seen to have been removed. Therefore, from this result, it was confirmed that the rotation center C could be appropriately calculated by the above algorithm.

In the following step S13, the attribute determination unit 14c determines the gripping position of the grip 51 when the golfer 7 swings the golf club 5. In the present embodiment, the user is made to visually confirm the actual gripping position of the grip 51 at the time of the golf swing measured in step S1 and input this through the input unit 12. The attribute determination unit 14c displays an appropriate screen on the display unit 11, receives an input of the gripping position of the grip 51 from the user on this screen, and determines the gripping position based on this input. The method of determining the actual gripping position is not limited to this, and for example, a pressure-sensitive sensor may be incorporated in the grip 51 and the actual gripping position may be determined from the output value of the pressure-sensitive sensor. As another example, the state of the swing by the golfer 7 may be photographed by a camera, and the actual gripping position may be determined based on the image data obtained from the camera.

In the following step S14, the attribute determination unit 14c determines the separation distance between the position of the rotation center C in step S12 and the actual gripping position in step S13, and based on this separation distance, the thickness and weight of the grip 51. Determine the proper grip attributes for. Specifically, when the position of the rotation center C and the actual gripping position are close to each other, it is considered that the golfer 7 is swinging mainly by rotating the wrist. Therefore, since it is determined that the golfer 7 is a type in which the wrist is easily returned during a swing, it can be said that a thick and heavy grip 51 is suitable for such a golfer 7. On the other hand, when the position of the center of rotation C and the actual gripping position are far from each other, it is considered that the golfer 7 is swinging with the whole body without using much wrist. Therefore, since it is determined that the golfer 7 is a type in which it is difficult to return the wrist during a swing, it can be said that a thin and light grip 51 is suitable for such a golfer 7.

From the above, in step S14, the attribute determination unit 14c determines whether or not the separation distance between the position of the rotation center C and the actual gripping position is smaller than the predetermined value, and when it is determined that the distance is smaller than the predetermined value. Determines the proper grip attribute for thickness as "thick" and the proper grip attribute for weight as "heavy". On the other hand, when it is determined that the separation distance is larger than the predetermined value, the appropriate grip attribute related to the thickness is determined to be "thin", and the appropriate grip attribute related to the weight is determined to be "light". The proper grip attribute is not represented by a qualitative value in this way, but can also be represented by a quantitative value (including a range of values). Further, the appropriate grip attribute is not limited to two stages, and can be expressed by a value of three or more stages such as "large", "medium", and "small".

Next, steps S21 to S25 will be described. In step S21, the characteristic determination unit 14b applies a bandpass filter that allows only a predetermined frequency component to pass through the measurement data (measurement data of ω _z in the present embodiment) stored in the storage unit 13. The predetermined frequency component referred to here is a wave component in a predetermined frequency band in which a characteristic relating to the strength of the gripping force of the golfer 7 appears prominently, and in the present embodiment, the characteristic when the gripping force is weak is remarkable. It is a component of the wave in the band of 5 to 20 Hz that appears in. For reference, FIG. 6B shows the waveform after applying the bandpass filter that passes the frequency component of 5 to 20 Hz with a broken line.

In the following step S22, the characteristic determination unit 14b obtains the golf club 5 (more accurately, more accurately, the golf club 5 at the time of backswing) from the measurement data after passing through the bandpass filter in step S21 (measurement data of ω _z in this embodiment). Time-series data representing the behavior of the grip end 51a) is extracted. As can be seen from the results of the above-mentioned experiment, when the gripping force of the golfer 7 is weak, the waveform of the high frequency component appears remarkably in the time series data at the time of backswing. Therefore, by cutting out the time series data at the time of backswing in step S22, the strength of the gripping force can be determined more accurately in the subsequent analysis. The backswing refers to the movement from the address to the top, but as the time series data at the time of the backswing, the time series data from a little before or a little after the address to a little before or a little after the top is extracted. You may. It is also possible to reverse the execution order of step S21 and step S22, that is, to extract the measurement data at the time of backswing and then pass it through a bandpass filter.

In the following step S23, the characteristic determination unit 14b frequency-analyzes the time series data extracted in step S22. More specifically, the time series data extracted in step S22 is fast Fourier transformed to derive a frequency spectrum. Then, by integrating this frequency spectrum, the size D of a predetermined frequency component included in the time series data extracted in step S22 is specified. By passing through step S21, the integrated value here becomes a value representing the magnitude of the wave component in the predetermined frequency band referred to in step S21.

In the following step S24, the characteristic determination unit 14b calculates the strength of the gripping force of the golfer 7 according to the magnitude D of the predetermined frequency component specified in step S23. More specifically, since the predetermined frequency band referred to in step S23 includes 7 to 10 Hz in which the difference in gripping force tends to be noticeable, the magnitude D (integral value) determines the strength of gripping force. It can be expressed accurately. Therefore, the characteristic determination unit 14b compares the magnitude D of the predetermined frequency component with the predetermined threshold value, and if D is equal to or less than the predetermined threshold value, determines that the gripping force is “strong” and makes it larger than the predetermined threshold value. For example, the gripping force is determined to be "weak". It is assumed that the threshold value used here is predetermined through a number of experiments and stored in the storage unit 13. The strength of the gripping force is not expressed by a qualitative value as described above, but can also be expressed by a quantitative value (including a range of values). Further, the strength of the gripping force can be expressed by a value of three or more stages, for example, "level 1", "level 2", and "level 3", instead of two stages.

In the following step S25, the attribute determination unit 14c determines an appropriate grip attribute regarding the hardness and material of the grip 51 based on the strength of the grip force determined in step S24. Specifically, a strong grip on the grip 51 means that the golfer 7 is likely to feel that the grip 51 is slipping from his hand, and such a golfer 7 is soft and has a high coefficient of friction. It can be said that the non-slip grip 51 is suitable. Examples of such a grip 51 include those made of a material containing a large amount of NR (natural rubber) and EPDM (ethylene propylene diene rubber). On the other hand, the fact that the grip 51 is gripped weakly means that the golfer 7 feels that the grip 51 is soft, and in some cases, it is highly possible that he / she is unaware that his / her gripping force is weak. Therefore, it can be said that a hard, low friction coefficient and slippery grip 51 is suitable for such a golfer 7, especially in the case of a golf club 5 for practice, so that the golfer 7 grips the grip 51 strongly. .. Examples of such a grip 51 include those made of a material containing a large amount of NBR (nitrile rubber).

From the above, in step S25, when it is determined that the gripping force determined in step S24 is strong, the attribute determination unit 14c determines the appropriate grip attribute regarding hardness as "soft", and the appropriate grip attribute regarding the material. Is determined as "non-slip material", "NR", "EPDM", etc. On the other hand, when it is determined that the gripping force is weak, the appropriate grip attribute related to hardness is determined to be "hard", and the appropriate grip attribute related to the material is determined to be "slippery material", "NBR", or the like. The appropriate grip attribute can be expressed by a quantitative value (including a range of values), and is expressed by a value of three or more stages such as "level 1", "level 2", and "level 3". be able to.

When steps S14 and S25 are completed, step S3 is executed. In step S3, the fitting unit 14d refers to the grip database 60 and determines a grip 51 that matches the appropriate grip attribute determined in steps S14 and S25. More specifically, the fitting unit 14d collates the appropriate grip attribute with the attribute information of the grip 51 stored in the grip database 60, and provides information (including identification information) regarding the grip 51 that matches the two. Extract. As described above, in the present embodiment, the appropriate grip attributes are determined for a plurality of items (thickness, weight, hardness, material), but the “matching” cases here are preferably all. Means when the attribute values match for the item. However, it can also be configured to extract information about grips 51 that have matching attribute values for at least some of the items. Further, even if the attribute values are not exactly the same, it can be determined that close ones (for example, "level 1" and "level 2", "level 2" and "level 3", etc.) match. ..

In the following step S4, the method proposing unit 14e determines the gripping method of the grip 51 to be proposed to the golfer 7 based on the player characteristics. In the present embodiment, in the method proposing unit 14e, when the relationship between the position of the rotation center C in step S12 and the actual gripping position in step S13 satisfies a predetermined problematic relationship (for example, the rotation center C actually grips). If it is too far from the position), as a gripping method to be proposed, information indicating a gripping position that improves this (for example, gripping the grip end 51a side by XX cm from the present, YY cm from the present) Only grip the head 53 side, etc.). Further, when the method proposing unit 14e determines that the strength of the gripping force satisfies a predetermined problematic condition according to the magnitude D of the predetermined frequency component in step S23 (for example, the gripping force is too strong). , Or if it is too weak), as a gripping method to suggest, information that indicates the strength of the gripping force to improve this (for example, try to hold a little weaker than the present, hold a little stronger than the present). Etc.) is decided. Since the magnitude D of the predetermined frequency component represents the strength of the gripping force which is a player characteristic, it can be said that this magnitude D is also a player characteristic.

In the following step S5, the display control unit 14f displays the result of the above fitting on the display unit 11. In the present embodiment, as a result of the fitting, the appropriate grip attribute determined in steps S14 and S25 and the information (including identification information) regarding the matching grip 51 determined in step S3 are displayed. In addition, the gripping method of the grip 51 determined in step S4 is also displayed. In addition, as reference information, the position of the rotation center C determined in step S12, the separation distance between the position of the rotation center C determined in step S14 and the actual gripping position, and the strength of the gripping force determined in step S24. Etc. are also displayed. On the other hand, the user can select a grip 51 suitable for the golfer 7 by referring to this information.

<2. Second Embodiment>
<2-1. Overview of fitting system>
11 to 14 show an overall configuration diagram of the fitting system 200 including the fitting device 101 according to the second embodiment. Since the fitting system 200 has many points in common with the fitting system 100 according to the first embodiment, the same elements are designated by the same reference numerals and the description thereof will be omitted here. Hereinafter, the differences between the two embodiments will be mainly described.

The fitting device 101 also determines the player characteristics based on the measurement data when the golfer 7 swings the golf club 5, and determines the appropriate grip attribute and the information regarding the grip 51 that matches the appropriate grip attribute based on the player characteristics. However, unlike the first embodiment, the behavior of the golf club 5 is measured by the first measuring device MD1 and the second measuring device MD2. The first measuring device MD1 and the second measuring device MD2 form a fitting system 200 together with the fitting device 101.

Further, also in the second embodiment, as a player characteristic, the strength of the gripping force at which the rotation center C of the golf club 5 during the swing and the golfer 7 grip the grip 51 is calculated. However, the calculation algorithm is different from that of the first embodiment. Specifically, the portion of the golf club 5, particularly the shaft 52, has a property of being deformed during a swing. The fitting device 101 analyzes the deformation of the shaft 52 of the golf club 5 during the swing based on the measurement data (first measurement data) measured by the first measuring device MD1. At this time, the deformation of the shaft 52 is analyzed according to a model in which the player characteristic is used as an analysis parameter. Further, the fitting device 101 specifies a result value for a predetermined behavior of the golf club 5, which represents the result of the swing, based on the measurement data (second measurement data) measured by the second measuring device MD2. The predetermined behavior referred to here is, for example, the position, speed, angle, traveling direction, and the like of a predetermined portion (head 53 in this embodiment) included in the golf club 5. Subsequently, the player characteristic, which is the above-mentioned analysis parameter, is adjusted so that the analysis result of the deformation of the shaft 52 based on the first measurement data matches the result value for the predetermined behavior of the golf club 5 based on the second measurement data. Determined by optimization. Hereinafter, the configurations of the first measuring device MD1 and the second measuring device MD2 will be described, and then the flow of the fitting method according to the present embodiment will be described.

<2-2. 1st measuring device>
The first measuring device MD1 is composed of an inertial sensor unit 2 similar to that of the first embodiment and two distance image sensors 102A and 102B. The distance image sensors 102A and 102B are cameras having a distance measuring function that captures a state in which the golfer 7 swings the golf club 5 as a two-dimensional image and measures the distance to the subject. Therefore, the distance image sensors 102A and 102B can output a depth image together with the two-dimensional image. The two-dimensional image referred to here is an image obtained by projecting an image of the shooting space into a plane orthogonal to the optical axis of the camera. The depth image is an image in which the depth data of the subject in the optical axis direction of the camera is assigned to pixels within the same imaging range as the two-dimensional image. In the present embodiment, as shown in FIG. 11, the first distance image sensor 102A is installed in front of the golfer 7 so as to capture the golf swing from the front side of the golfer 7. On the other hand, the second distance image sensor 102B is installed on the right side of the golfer 7 so as to photograph the golf swing from a direction different from that of the distance image sensor 102A, specifically, to photograph the golfer 7 from the right side. ..

As shown in FIG. 14, both distance image sensors 102A and 102B have the same configuration. Therefore, in the following, for the sake of simplicity, the configuration of the distance image sensor 102A will be described, but the same applies to the distance image sensor 102B. The fitting device 101 may be composed of a plurality of computers, and for example, the distance image sensors 102A and 102B may be connected to different computers.

The distance image sensor 102A captures a two-dimensional image as an infrared image (hereinafter referred to as an IR image). Further, the depth image can be obtained by a method such as a time-of-flight method using infrared rays or a dot pattern projection method. Therefore, as shown in FIG. 11, the distance image sensor 102A has an IR light emitting unit 21 that emits infrared rays forward and an IR that receives infrared rays that are emitted from the IR light emitting unit 21 and reflected on the subject and returned. It has a light receiving unit 22. In the present embodiment, the IR light emitting unit 21 and the IR light receiving unit 22 are housed in the same housing 20 and are arranged in front of the housing 20.

The distance image sensor 102A is equipped with a CPU 23 that controls the entire operation of the distance image sensor 102A, and a memory 24 that at least temporarily stores image data (first measurement data) of captured IR images and depth images. ing. The control program that controls the operation of the distance image sensor 102A is stored in the memory 24. Further, the distance image sensor 102A also has a built-in communication unit 25, and the communication unit 25 transmits the captured image data to an external device such as a fitting device 101 via a wired or wireless communication line 17. Can be output to. In the present embodiment, the CPU 23 and the memory 24 are also housed in the housing 20. It should be noted that the transfer of image data to the fitting device 101 does not necessarily have to be performed via the communication unit 25. For example, if the memory 24 is removable, the image data can be read out by the fitting device 101 by inserting it into the reader of the fitting device 101 or the like.

In the present embodiment, as described above, infrared imaging is performed by the distance image sensor 102A. Therefore, although not shown, a reflective sheet that efficiently reflects infrared rays is attached to the grip end 51a as a marker so that the behavior of the grip end 51a can be easily measured by the distance image sensors 102A and 102B. A similar infrared reflective sheet is also attached to the shaft 52 as a marker.

<2-3. 2nd measuring device>
The detailed configuration of the second measuring device MD2 is shown in FIGS. 12 and 13. In FIG. 11, the second measuring device MD2 is omitted, whereas in FIGS. 12 and 13, the first measuring device MD1 is omitted. The second measuring device MD2 is a high-performance photographing system including a plurality of cameras 3A to 3H, and image data (second) of measuring the behavior of the head 53 during a swing from various directions by these cameras 3A to 3H. Measurement data) is photographed. The cameras 3A to 3H are strobe type. Therefore, the second measuring device MD2 further includes strobes 4A to 4H that irradiate the shooting range of the cameras 3A to 3H, and also includes a trigger device 8 that determines the operation timing of the cameras 3A to 3H and the strobes 4A to 4H.

The cameras 3A to 3H photograph the state in the vicinity of the head 53 in the vicinity of the impact. That is, the behavior of the head 53 near the impact is photographed from a plurality of directions by a plurality of cameras 3A to 3H. Therefore, the behavior of the head 53 is three-dimensionally captured by a plurality of series of image data output from the plurality of cameras 3A to 3H. The fitting device 101 can calculate the behavior of the head 53 as a result of the golf swing with high accuracy by performing image processing on these image data. In the present embodiment, the head speed, face angle, blow angle, and trajectory angle immediately before impact are calculated as the behavior of the head 53.

The cameras 3A to 3H are arranged above the golfer 7 such as being hung on the ceiling. Of these, the cameras 3A to 3D are arranged in the immediate vicinity of the golfer 7, and the cameras 3E to 3H are arranged slightly separated from each other on the positive side in the Y-axis direction with respect to the golfer 7. The cameras 3A to 3H are connected to the fitting device 101 via a wired or wireless communication line 18. The image data captured by the cameras 3A to 3H is transmitted to the fitting device 101 in real time. It is also possible to store the image data in the storage device built in the cameras 3A to 3H and later transfer the image data from the storage device to the fitting device 101.

The strobes 4A to 4H are light emitting devices that assist the shooting of the cameras 3A to 3H. The strobes 4A to 4H are also placed above the golfer 7 by hanging them on the ceiling. Of these, the strobes 4A to 4E are arranged in the immediate vicinity of the golfer 7, and the strobes 4F to 4H are arranged slightly separated from each other on the positive side in the Y-axis direction with respect to the golfer 7. The strobes 4A to 4H operate in synchronization with the cameras 3A to 3H.

As shown in FIG. 15, a plurality of markers M1 to M5 are attached to the head 53. The markers M1 to M5 efficiently reflect the light emitted from the strobes 4A to 4H, and are attached so that the positions of the markers M1 to M5 and the behavior of the head 53 can be easily captured by the cameras 3A to 3H. The markers M1 to M4 are attached to the face surface 53a that hits the ball 55 at the head 53, and preferably, a region near the center on the face surface 53a so as not to interfere with the hitting of the ball 55 on the face surface 53a. It is pasted avoiding. The marker M5 is attached so as to extend elongated along the vicinity of the center of the upper edge of the face surface 53a on the top surface of the head 53. The positions where the markers M1 to M5 are attached here are examples.

The trigger device 8 includes a plurality of sets of timing sensors and a timing control device 9. More specifically, the floodlights 6A to 6C are paired with the light receivers 7A to 7C, respectively, to form a timing sensor. The floodlights 6A to 6C and the receivers 7A to 7C are arranged near the feet of the golfer 7. The timing control device 9 is connected to the floodlights 6A to 6C, the light receivers 7A to 7C, the cameras 3A to 3H, the strobes 4A to 4H, and the fitting device 101.

The floodlights and receivers that make up the set are arranged on a straight line that is substantially parallel to the X-axis and face each other (see FIG. 13). During the swing, the floodlights 6A to 6C constantly irradiate the light receivers 7A to 7C, respectively, and the light receivers 7A to 7C receive the light. However, at the timing when the golf club 5 passes between the floodlights 6A to 6C and the receivers 7A to 7C, the light from the floodlights 6A to 6C is blocked by the golf club 5, so that the receivers 7A to 7C block this. Cannot receive light. Each of the receivers 7A to 7C detects this timing, and based on this timing, the timing control device 9 generates a timing for operating the cameras 3A to 3H and the strobes 4A to 4H. The timing signal generated by the timing control device 9 is transmitted from the timing control device 9 to the cameras 3A to 3H and the strobes 4A to 4H. In response to this, these cameras 3A to 3H and strobes 4A to 4H perform photographing and light emission.

<2-4. Grip fitting method>
Hereinafter, the fitting method of the grip 51 according to the second embodiment will be described with reference to FIG. Here, as in the first embodiment, the player characteristics are taken into consideration.

First, the golfer 7 swings the golf club 5 with the inertial sensor unit 2 described above. In step S31, at this time, the inertial sensor unit 2 included in the first measuring device MD1 causes accelerations a _x , a _y , a _z , angular velocities ω _x , ω _y , ω _z and geomagnetism m _x , m during the golf swing. Sensor data of _y and m _z (first measurement data) is detected. These sensor data are transmitted to the fitting device 101 via the communication device 40 of the inertial sensor unit 2. On the other hand, on the fitting device 101 side, the acquisition unit 14a receives this via the communication unit 15 and stores it in the storage unit 13. In this embodiment, time-series sensor data is collected at each time during the swing, including at least a section from just before the address to the finish.

In step S32, the swing motion of the golf club 5 is photographed by the distance image sensors 102A and 102B included in the first measuring device MD1. That is, the distance image sensors 102A and 102B detect image data (first measurement data) that captures the golf swing. Step S32 is performed in parallel with step S31 for the same swing operation as step S31. The detected image data is transmitted to the fitting device 101 via the communication unit 25 of the distance image sensors 102A and 102B. On the other hand, on the fitting device 101 side, the acquisition unit 14a receives this via the communication unit 15 and stores it in the storage unit 13. In the present embodiment, time-series image data at each time during the swing, including at least a section from just before the address to the finish, is collected.

Further, in step S33, the swing motion of the golf club 5 is photographed by the second measuring device MD2. That is, the cameras 3A to 3H detect image data (second measurement data) that captures the golf swing. Step S33 is performed in parallel with steps S31 and S32 for the same swing operation as steps S31 and S32. The detected image data is transmitted from the cameras 3A to 3H to the fitting device 101. On the other hand, on the fitting device 101 side, the acquisition unit 14a receives this via the communication unit 15 and stores it in the storage unit 13. In the present embodiment, time-series image data at each time during the swing, including at least a section from just before the address to the finish, is collected.

In the following steps S34 to S41, the player characteristics are determined. The player characteristic referred to here is the strength of the gripping force at which the rotation center C of the golf club 5 during the swing and the golfer 7 grip the grip 51, as in the first embodiment.

First, in step S34, the characteristic determination unit 14b corrects the first measurement data at each time during the swing. This correction is made by considering the rotation center C of the golf club 5 during the swing. Specifically, in step S34, the characteristic determination unit 14b sets a value of a specific rotation center C, and corrects the sensor data acquired in step S31 based on the rotation center C. As shown in FIG. 16, steps S34 to S39 are repeatedly executed until the rotation center C peculiar to the golfer 7 is finally determined (step S41), whereby the optimum solution of the rotation center C is determined. .. Therefore, in step S34, the value of the rotation center C is appropriately selected according to the algorithm of the optimization method adopted. The value (initial value) of the rotation center C set in the first step S34 may be estimated from the sensor data before correction, or means that the rotation center C coincides with the grip end 51a. (Including the case where it is set to 0).

In the present embodiment, the first measurement data to be corrected in step S34 is the sensor data of the accelerations a _x , a _y , and a _z at each time during the swing. Since the position of the inertial sensor unit 2 is offset from the rotation center C by a distance _dz to the accelerations a _x , a _y , and _az at the grip end 51a measured by the inertial sensor unit 2, the circumference of the rotation center C Contains rotating components. This rotation component is generated by the influence of the angular velocity and the angular acceleration generated at the position of the inertial sensor unit 2 with the rotation around the rotation center C. The characteristic determination unit 14b derives the sensor data of the corrected acceleration _as'at the grip end _51a by removing this rotational component from as according to the equation of Equation 3.

In the following step S35, the time series sensor data corrected in step S34 and the time series image data acquired in step S32 are time-matched. In other words, the characteristic determination unit 14b synchronizes the sensor data (unless otherwise specified, it means the latest corrected sensor data; the same applies hereinafter) and the image data. Specifically, first, the characteristic determination unit 14b derives the address, top, and impact times based on the sensor data. Since various methods for deriving these times are known, detailed description thereof will be omitted here.

Subsequently, the characteristic determination unit 14b derives the posture matrix N at each time during the swing based on the sensor data. Now, the attitude matrix N is expressed by the following equation. The attitude matrix N is a matrix for converting the values in the xyz local coordinate system into the values in the XYZ inertial coordinate system. The XYZ inertial coordinate system is a three-axis Cartesian coordinate system shown in FIGS. 11 to 13. The Z-axis is the direction from vertically downward to upward, the X-axis is the direction from the back to the belly of the golfer 7, and the Y-axis is the direction parallel to the ground plane from the hitting point of the ball 55 to the target point. Is.

The meanings of the nine components of the attitude matrix N are as follows.
Component a: Cosine of the angle between the X-axis of the inertial coordinate system and the x-axis of the local coordinate system Component b: Cosine of the angle between the Y-axis of the inertial coordinate system and the x-axis of the local coordinate system Component c: Inertia Cosine component of the angle formed by the Z axis of the coordinate system and the x axis of the local coordinate system d: Cosine component of the angle formed by the X axis of the inertial coordinate system and the y axis of the local coordinate system e: Y of the inertial coordinate system Cosine component of the angle formed by the axis and the y-axis of the local coordinate system f: Cosine component of the angle formed by the Z-axis of the inertial coordinate system and the y-axis of the local coordinate system g: X-axis of the inertial coordinate system and the local Cosine component of the angle formed by the z-axis of the coordinate system h: Cosine component of the angle formed by the Y-axis of the inertial coordinate system and the z-axis of the local coordinate system i: Z-axis of the inertial coordinate system and z of the local coordinate system Cosine of the angle formed by the axis Here, the vector (a, b, c) represents the unit vector in the x-axis direction, and the vector (d, e, f) represents the unit vector in the y-axis direction, and the vector ( g, h, i) represent a unit vector in the z-axis direction.

Since various methods for calculating the attitude matrix N based on the sensor data output from the inertial sensor unit are known, detailed description thereof will be omitted here. If necessary, the methods described in JP-A-2016-2429, JP-A-2016-2430, etc. by the same applicants can be followed.

Subsequently, the characteristic determination unit 14b image-processes the image data (hereinafter referred to as front image data) at each time during the swing derived from the distance image sensor 102A to obtain a linear image of the shaft 52 at each time. Detect and specify the orientation of the shaft 52 in time series. Further, the direction of the shaft 52 is specified based on the vector (g, h, i) representing the direction of the z-axis, which is specified from the posture matrix N at each time during the swing. Then, the characteristic determination unit 14b positions both time-series data so that the degree of coincidence between the orientation of the time-series shaft 52 derived from the sensor data and the orientation of the time-series shaft 52 derived from the front image data is the highest. Match.

Subsequently, the front image data and the image data taken from the right side by the distance image sensor 102B (hereinafter, referred to as the right image data) are synchronized. Specifically, the characteristic determination unit 14b derives the three-dimensional coordinates of the grip end 51a at each time during the swing by performing image processing on the front image data. Similarly, the characteristic determination unit 14b derives the three-dimensional coordinates of the grip end 51a at each time during the swing by performing image processing on the right image data.

Subsequently, the characteristic determination unit 14b has the highest degree of coincidence between the three-dimensional coordinates of the time-series grip end 51a derived from the front image data and the three-dimensional coordinates of the time-series grip end 51a derived from the right image data. Align both time series data with. As described above, the time of the right image data and the sensor data are also adjusted via the front image data.

In the following step S36, the characteristic determination unit 14b derives the posture of the grip 51 at each time during the swing. The posture of the grip 51 can be represented by the orientation of the xyz local coordinate system described above in the XYZ inertial coordinate system fixed to the ground. Therefore, in the present embodiment, NT ( ^T on the right shoulder represents a transposed matrix), which is a posture matrix for converting the XYZ inertial coordinate system into the xyz local coordinate system, is derived as the posture of the grip 51.

As described in the description of step S35, the posture matrix ^NT can be calculated only from the sensor data, but in the present embodiment, in order to further improve the accuracy of the analysis, the image data acquired in step S32 is also included. With reference, the attitude matrix ^NT is calculated. That is, both the sensor data acquired in step S31 and the image data acquired in step S32 capture the same operation of the golf club 5. Therefore, using the sensor data in step S31 and the image data in step S32, a predetermined objective function including the attitude matrix ^NT is defined, and the attitude matrix ^NT is set as an optimum solution for minimizing or maximizing the objective function. Can be derived.

In the following step S37, the characteristic determination unit 14b accelerates the grip 51 (more accurately, the grip end 51a) in the xyz local coordinate system at each time during the swing, and the grip 51 (more accurately) in the xyz local coordinate system. , The angular velocity and the angular acceleration of the grip end 51a) are calculated. Specifically, the acceleration of the grip 51 in the xyz local coordinate system is derived by canceling the gravity component from the value of the acceleration included in the sensor data. The angular velocity of the grip 51 in the xyz local coordinate system corresponds to the value of the angular velocity included in the sensor data. The angular acceleration of the grip 51 in the xyz local coordinate system is calculated by differentiating the value of the angular velocity included in the sensor data.

As described above, the values of the acceleration, the angular velocity, and the angular acceleration of the grip 51 in the xyz local coordinate system can be calculated only from the sensor data. However, in the present embodiment, in order to further improve the accuracy of the analysis, the values of the acceleration, the angular velocity, and the angular acceleration of the grip 51 are also referred to with reference to the image data acquired in step S32 as in the case of the attitude matrix ^NT . Is optimized.

In the following step S38, the characteristic determination unit 14b analyzes the deformation of the shaft 52 at each time during the swing. The analysis model of the deformation of the shaft 52 according to the present embodiment is a model according to the finite element method. The grip 51 and shaft 52 are assumed to be multi-stage cylindrical beam elements, and the head 53 is assumed to be rigid. As shown in FIG. 17, the grip 51 and the shaft 52 are each divided into a plurality of minute elements along the longitudinal direction. In the present embodiment, the grip 51 and the element closest to the grip 51 in the shaft 52 are defined as a physical region, and the remaining region is defined as an elastic deformation region.

Further, although the grip 51 is gripped by the golfer 7, it is not gripped as hard as the fixed end, but is gripped so as to move with a flexible hand movement. Therefore, in this analysis model, in order to express such a flexible gripping condition, as shown in FIG. 17, the grip 51 is modeled by a spring model, and the deformation of the shaft 52 is analyzed. In the spring model, the above gripping conditions are represented by the spring constants of the elements corresponding to the grip 51. Since the spring constant represents the strength of the gripping force at which the golfer 7 grips the grip 51, this spring constant is considered as the strength of the gripping force in the present embodiment. Further, in general, the strength of the gripping force is not constant during the swing period, is relatively small from the address to the top, and is relatively large during the downswing after the top. Therefore, in this spring model, it is assumed that the spring constant is a constant value from the address to the top and linearly increases from the top to the impact. Therefore, in this spring model, the spring constants are the components ka _x , kay, ka _z in the x, y and z directions at the time of addressing (more specifically, from the address to the top) and x, y and _z at the time of impact. It is represented by the directional components ki _x , ki _y , and ki _z . The spring constants ka _x , ka _y , ka _z , ki _x , ki _y , and ki _z are the analysis parameters of this analysis model.

In step S38, the characteristic determination unit 14b sets the spring constants ka _x , ka _y , ka _z , ki _x , ki _y , ki _z , and the spring constants ka _x , ka _y , ka _z , ki _x , ki _y . , Ki _z are input to the above-mentioned analysis model of the deformation of the shaft 52. As described above, in step S38, the strength of the gripping force of the golfer 7, that is, the optimum solution of the spring constants ka _x , ka _y , ka _z , ki _x , ki _y , ki _z is determined (step S41). Is repeated until. Therefore, in step S38, the values of the spring constants ka _x , ka _y , ka _z , ki _x , ki _y , and ki _z are appropriately selected according to the algorithm of the optimization method adopted. The values (initial values) of the spring constants ka _x , ka _y , ka _z , ki _x , ki _y , and ki _z set in the first step S38 may be estimated from the sensor data or may be set as predetermined values. good. Further, the characteristic determination unit 14b determines the posture of the grip 51 at each time during the swing calculated in steps S36 and S37, and the acceleration, angular velocity and angle of the grip 51 in the xyz local coordinate system as parameters expressing the behavior of the grip 51. The acceleration is input to the above-mentioned analysis model of the deformation of the shaft 52. As a result, the amount of deformation of each element of the grip 51 and the shaft 52 is calculated.

The basic concept of the deformation analysis model of the shaft 52 according to the present embodiment is also shown in the following document A. Therefore, this analysis model can be understood in more detail by referring to Reference A.
Reference A: Kenta Matsumoto, 5 others, "Effect of club head inertia on shaft behavior", Proceedings of Sports Engineering / Human Dynamics 2015, B-34 (USB memory), October 2015

In the following step S39, the characteristic determination unit 14b determines the result value (hereinafter, hereinafter) for the predetermined behavior of the golf club 5 representing the result of the swing, based on the amount of deformation of each element of the grip 51 and the shaft 52 calculated in step S38. , The first result value) is specified. The first result value in the present embodiment relates to the behavior of the head 53, and more specifically, the head speed HS _Sim immediately before the impact, the face angle FA _Sim , the blow angle BA _Sim , and the orbital angle PATH _Sim . ..

At the time of executing step S39, the amount of deformation of each element of the golf club 5 at each time during the swing is derived from the steps so far. Therefore, the characteristic determination unit 14b derives the behavior of the element on the most head 53 side (hereinafter, referred to as the final element) on the shaft 52 at each time during the swing based on this information. Then, the positions of various points of interest (including the center of gravity of the head 53) of the head 53 at each time during the swing are calculated from the behavior of the final element and the shape data of the head 53. The shape data of the head 53 is, for example, CAD data at the time of designing the head 53, and is assumed to be stored in advance in the storage unit 13. Then, the characteristic determination unit 14b derives the behavior of the head 53 as described above based on the positions of various points of interest of the head 53 in these time series.

Further, step S40 is executed in parallel with steps S34 to S39. In step S40, the characteristic determination unit 14b determines the predetermined behavior of the golf club 5 representing the result of the swing, similar to step S39, based on the second measurement data from the second measuring device MD2 acquired in step S33. The result value of (hereinafter referred to as the second result value) is specified. That is, here, as the second result value, the head velocity HS _Mot , the face angle FA _Mot , the blow angle BA _Mot , and the orbital angle PTH _Mot immediately before the impact, which are derived from the measurement result of the highly accurate second measuring device MD2, are specified. Will be done. Specifically, by image processing the image data at each time during the swing acquired in step S33, the images of the markers M1 to M5 are detected, and the positions and orientations of the detected images of the markers M1 to M5 are determined. Based on this, the second result value is calculated.

In the following step S41, the characteristic determination unit 14b determines the analysis parameters related to the rotation center C and the strength of the gripping force based on the first result value and the second result value. In the present embodiment, the optimum solution of the analysis parameter is specified by optimizing the analysis parameter so that the first result value matches or approaches the second result value. That is, the second result value, which is the measurement result of the second measuring device MD2 having high-precision analysis performance, is extremely close to the true value, and by matching or bringing the first result value to or close to this, the rotation center C and the grip are held. The optimum solution of force strength can be obtained.

Specifically, the characteristic determination unit 14b defines the following objective function J, and determines the rotation center C and the strength of the gripping force such that the objective function J is minimized as the optimum solutions for each. Therefore, the characteristic determination unit 14b substitutes the first result value calculated in the immediately preceding step S39 and the second result value calculated in the step S40 into the following equation, and these values are predetermined to be close to 0. Judge whether or not it converges to a value within the range of (hereinafter referred to as the end condition). If the end condition is not satisfied, the process returns to step S34. On the other hand, when the end condition is satisfied, the optimization process is ended, and the latest rotation center C and the strength of the gripping force are determined as the player characteristics.

The steps after the rotation center C and the strength of the gripping force, which are the player characteristics, are determined are the same as those in the first embodiment. That is, steps S13, S14, and S25 are executed to determine the appropriate grip attribute, and step S3 is executed to determine the grip 51 that matches the appropriate grip attribute. After that, the gripping method of the grip 51 to be proposed to the golfer 7 is determined (step S4), and the results of various fittings are output (step S5).

<3. Modification example>
Although one embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and various modifications can be made without departing from the spirit of the present invention. For example, the following changes can be made. In addition, the gist of the following modified examples can be combined as appropriate.

<3-1>
In the first and second embodiments, the grip 51 of the golf club 5 was fitted, but the above algorithm is also applied to the fitting of the grip of other sports hitting tools such as tennis rackets and baseball bats. It can also be applied to the grip fitting of hitting tools for non-sports applications.
<3-2>
The object whose behavior is measured by the measuring devices 2 and MD1 is not limited to the grip end 51a, and may be, for example, another part of the grip 51 or the shaft 52.

<3-3>
In the first embodiment, the inertial sensor unit 2 has acquired measurement data (hereinafter referred to as first analysis data) for calculating the rotation center C. However, the present invention is not limited to this example, and for example, the measuring device 2 may be configured by one or a plurality of cameras (may be a distance image sensor), and the behavior of the hitting tool may be photographed by such a camera. .. In this case, the acquisition unit 14a processes the time-series image data (that is, moving image data) output from the measuring device 2 as the first analysis data, for example, the position, speed, acceleration of the grip end 51a. Data such as angular velocity and angular acceleration can be acquired. Further, the first analysis data can be acquired by combining the inertial sensor unit 2 and the camera.

<3-4>
In the first embodiment, the first analysis data is waggle data, but the data is not limited to this. For example, the golfer 7 is made to grip the golf club 5, and the golf club is swung while being aware that the golf club 5 is given only the rotational movement without giving the translational movement. The measurement data at this time can be preferably used as the first analysis data.
<3-5>
In the first embodiment, the inertial sensor unit 2 has acquired measurement data (hereinafter referred to as second analysis data) for analyzing the strength of the gripping force of the golfer 7. However, the present invention is not limited to this example, and for example, the measuring device 2 may be configured by one or a plurality of cameras (may be a distance image sensor), and the behavior of the hitting tool may be photographed by such a camera. .. In this case, the acquisition unit 14a processes the time-series image data (that is, moving image data) output from the measuring device 2 as the second analysis data, for example, the position, acceleration, angular velocity, etc. of the grip end 51a. Data can be obtained. Further, the second analysis data can be acquired by combining the inertial sensor unit 2 and the camera.

In addition, instead of or in addition to the angular velocity ω _z , data such as the angular velocity ω _x , ω _y , the acceleration a _x , a _y , a _z , the geomagnetism _mx , _{my, m z can} be used as the second analysis data. can.

<3-6>
In the first embodiment, the magnitude D of a predetermined frequency component was identified by integrating the frequency spectrum in a predetermined frequency band. However, the magnitude D of the predetermined frequency component may be the maximum value of the spectral power in the predetermined frequency band, or may be the value of the spectral power of the specific frequency.

Further, instead of or in addition to this, in the first embodiment, the magnitude D of a predetermined frequency component is specified by passing the second analysis data through a bandpass filter. However, after frequency analysis of the second analysis data without passing it through a bandpass filter, the magnitude D of a predetermined frequency component may be specified from the result.

<3-7>
In the first embodiment, the size D of a predetermined frequency component has been identified by performing frequency analysis. However, after passing the second analysis data through a bandpass filter that passes a predetermined frequency component or a component other than the predetermined frequency component of interest, this is compared with the wave of the original second analysis data, and the original The degree of change of the wave and the wave after passing through the bandpass filter can also be set to the magnitude D of a predetermined frequency component.

<3-8>
The proper grip attributes according to the first and second embodiments relate to the weight, thickness, material and hardness of the grip 51, which are examples. For example, an attribute such as the length of the grip 51 suitable for the golfer 7 may be determined as an appropriate grip attribute.

<3-9>
In step S5, the proper grip attribute may not be output, and only the information regarding the grip matching the attribute may be output. Alternatively, although the proper grip attribute is output, step S3 may be omitted so that the information regarding the grip matching the proper grip attribute is not output.

<3-10>
Some of the steps included in the fitting methods according to the first and second embodiments may be performed by a person instead of being performed by the fitting device 1. For example, all or part of steps S13, S14, S24, S25, S3, and S4 can be performed by a person.
<3-11>
The above-described configurations of the first measuring device MD1 and the second measuring device MD2 are examples, and various configurations can be made. For example, the first measuring device MD1 may be composed of only one distance image sensor and the inertial sensor unit 2, may be composed of only the inertial sensor unit 2, or may be composed of one or a plurality of distance image sensors. It can also consist of only.

Further, the second measuring device MD2 can be a high-performance motion capture system including a plurality of cameras. However, it is preferable that the second measurement data from the second measuring device MD2 is a device capable of measuring the behavior of the golf club 5 with higher accuracy than the first measuring device MD1.

<3-12>
The predetermined behavior of the golf club 5 specified in steps S39, S40 and the like is not limited to the above-mentioned examples of the head speed, face angle, blow angle and trajectory angle, and even if various other behaviors of the head 53 are specified. Alternatively, various behaviors of various parts other than the head 53 may be specified. Also, the predetermined behavior used to determine the player characteristics does not have to be plural, but may be one. For example, the player characteristics can be determined so that only the head speed based on the first measurement data matches the index based on the second measurement data.

<3-13>
In the above embodiment, the rotation center C and the strength of the gripping force are used as the player characteristics, but only one of these can be used. Further, as the player characteristics, in addition to the rotation center C and the strength of the gripping force, various characteristics when the golfer 7 swings the golf club 5 can be used as the player characteristics.

100,200 Fitting system 1,101 Fitting device 14a Acquisition unit 14b Characteristic determination unit 14c Attribute determination unit 14d Fitting unit 14e Method proposal unit 14f Display control unit 5 Golf club (striking tool)
51 Grip 51a Grip End 6 Fitting Program 7 Golfer (Player)
C Rotation center 2 Measuring device (inertia sensor unit)
MD1 measuring device 102A, 102B Distance image sensor MD2 measuring device

Claims (21)

It is a fitting method that fits the grip of the hitting tool to the player.
Using a measuring device, a step of acquiring measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and
Based on the measurement data, a step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, and
Including a step of determining an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.
The step of determining the player characteristics is
Based on the measurement data, the player characteristic includes a step of calculating the center of rotation of the hitting tool when the player swings the hitting tool.
Fitting method. It is a fitting method that fits the grip of the hitting tool to the player.
Using a measuring device, a step of acquiring measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and
Based on the measurement data, a step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, and
Including a step of determining an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.
The step of determining the player characteristics is
Based on the measurement data, the player characteristic includes a step of calculating the strength of the gripping force for gripping the grip when the player swings the hitting tool.
Fitting method. It is a fitting method that fits the grip of the hitting tool to the player.
Using a measuring device, a step of acquiring measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and
Based on the measurement data, a step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, and
Including a step of determining an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.
The step of acquiring the measurement data is
Using the first measuring device included in the measuring device, a step of acquiring first measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and a step of acquiring the first measurement data.
Using a second measuring device different from the first measuring device included in the measuring device, the second measurement data that measures the behavior of the hitting tool when the player swings the hitting tool is acquired. Including steps
The first measurement data and the second measurement data are data obtained by measuring the behavior of the hitting tool with respect to the same swing motion.
The step of determining the player characteristics is
Based on the first measurement data, a step of analyzing the deformation of the hitting tool according to a model using the player characteristic as an analysis parameter, and
Based on the analysis of the deformation of the hitting tool, a step of deriving the behavior of a predetermined portion included in the hitting tool at a predetermined timing during the swing of the hitting tool as a first result value, and
Based on the second measurement data, a step of deriving the behavior of the predetermined part at the predetermined timing as a second result value, and
Including a step of determining the analysis parameters so that the first result value is consistent with the second result value.
Fitting method. Further including a step of proposing to the player at least one of the proper grip attribute and a grip matching the proper grip attribute.
The fitting method according to any one of claims 1 to 3. The step of determining the player characteristics is
Based on the measurement data, the player characteristic includes a step of calculating the center of rotation of the hitting tool when the player swings the hitting tool.
The fitting method according to claim 2 or 3. Further comprising the step of determining the gripping position of the grip when the player swings the hitting tool.
The step of determining the proper grip attribute is
The fitting method according to claim 1 or 5, which is a step of determining a separation distance between the position of the center of rotation and the gripping position and determining the appropriate grip attribute based on the separation distance. The step of calculating the center of rotation is
The data included in the measurement data, which is the data when the player performs a waggle motion, and the hitting tool with the intention of giving only a rotational motion without giving a translational motion to the hitting tool. A step of calculating the position where the movement is minimized in the hitting tool as the rotation center based on at least one of the data when the tool is operated is included.
The fitting method according to claim 1 or 5 or 6. The step of calculating the strength of the gripping force is
This is a step of specifying the magnitude of a predetermined frequency component included in the measurement data and calculating the strength of the gripping force according to the magnitude of the predetermined frequency component.
The fitting method according to claim 2. The step of acquiring the measurement data is
Using the first measuring device included in the measuring device, a step of acquiring first measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and a step of acquiring the first measurement data.
Using a second measuring device different from the first measuring device included in the measuring device, the second measurement data that measures the behavior of the hitting tool when the player swings the hitting tool is acquired. Including steps
The first measurement data and the second measurement data are data obtained by measuring the behavior of the hitting tool with respect to the same swing motion.
The step of determining the player characteristics is
Based on the first measurement data, a step of analyzing the deformation of the hitting tool according to a model using the player characteristic as an analysis parameter, and
Based on the analysis of the deformation of the hitting tool, a step of deriving the behavior of a predetermined portion included in the hitting tool at a predetermined timing during the swing of the hitting tool as a first result value, and
Based on the second measurement data, a step of deriving the behavior of the predetermined part at the predetermined timing as a second result value, and
The fitting method according to claim 1 or 2, comprising the step of determining the analysis parameter so that the first result value is consistent with the second result value. The behavior of the predetermined portion includes at least one of the velocity, angle and traveling direction of the predetermined portion.
The fitting method according to claim 3 or 9. The proper grip attribute includes at least one of the weight, thickness, hardness, material and length of the grip suitable for the player.
The fitting method according to any one of claims 1 to 10. The hitting tool is a golf club.
The fitting method according to any one of claims 1 to 11. Further including a step of proposing to the player a method of gripping the grip based on the player characteristics.
The fitting method according to any one of claims 1 to 12. It is a fitting device that fits the grip of the hitting tool to the player.
An acquisition unit that acquires measurement data that measures the behavior of the hitting tool when the player swings the hitting tool using a measuring device.
Based on the measurement data, a characteristic determination unit that determines a player characteristic, which is a characteristic when the player swings the hitting tool,
It is provided with an attribute determination unit that determines an appropriate grip attribute that is an attribute of the grip suitable for the player based on the player characteristics.
Based on the measurement data, the characteristic determination unit calculates, as the player characteristic, the center of rotation of the hitting tool when the player swings the hitting tool.
Fitting device. It is a fitting device that fits the grip of the hitting tool to the player.
An acquisition unit that acquires measurement data that measures the behavior of the hitting tool when the player swings the hitting tool using a measuring device.
Based on the measurement data, a characteristic determination unit that determines a player characteristic, which is a characteristic when the player swings the hitting tool,
It is provided with an attribute determination unit that determines an appropriate grip attribute that is an attribute of the grip suitable for the player based on the player characteristics.
Based on the measurement data, the characteristic determination unit calculates, as the player characteristic, the strength of the gripping force that grips the grip when the player swings the hitting tool.
Fitting device. It is a fitting device that fits the grip of the hitting tool to the player.
Using the first measuring device, the first measurement data for measuring the behavior of the hitting tool when the player swings the hitting tool and the second measuring device different from the first measuring device are used. The acquisition unit that acquires the second measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and
Based on the first measurement data and the second measurement data, a characteristic determination unit that determines a player characteristic, which is a characteristic when the player swings the hitting tool, and a characteristic determination unit.
It is provided with an attribute determination unit that determines an appropriate grip attribute that is an attribute of the grip suitable for the player based on the player characteristics.
The first measurement data and the second measurement data are data obtained by measuring the behavior of the hitting tool with respect to the same swing motion.
The characteristic determination unit
Based on the first measurement data, the deformation of the hitting tool is analyzed according to a model using the player characteristic as an analysis parameter.
Based on the analysis of the deformation of the hitting tool, the behavior of a predetermined portion included in the hitting tool at a predetermined timing during the swing of the hitting tool is derived as the first result value.
Based on the second measurement data, the behavior of the predetermined part at the predetermined timing is derived as the second result value.
A fitting device that determines the analysis parameters so that the first result value matches the second result value. It is a fitting device that fits the grip of the hitting tool to the player.
An acquisition unit that acquires measurement data that measures the behavior of the hitting tool when the player swings the hitting tool using a measuring device.
Based on the measurement data, a characteristic determination unit that determines a player characteristic, which is a characteristic when the player swings the hitting tool,
An attribute determination unit that determines an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.
A method proposing unit that determines a gripping method of the grip to be proposed to the player based on the player characteristics.
A fitting device. It is a fitting program that fits the grip of the hitting tool to the player.
A step of acquiring measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and
Based on the measurement data, a step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, and
A computer is made to perform a step of determining an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.
The step of determining the player characteristics is
Based on the measurement data, the player characteristic includes a step of calculating the center of rotation of the hitting tool when the player swings the hitting tool.
Fitting program. It is a fitting program that fits the grip of the hitting tool to the player.
A step of acquiring measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and
Based on the measurement data, a step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, and
A computer is made to perform a step of determining an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.
The step of determining the player characteristics is
Based on the measurement data, the player characteristic includes a step of calculating the strength of the gripping force for gripping the grip when the player swings the hitting tool.
Fitting program. It is a fitting program that fits the grip of the hitting tool to the player.
A step of acquiring measurement data measured by a measuring device for the behavior of the hitting tool when the player swings the hitting tool, and
Based on the measurement data, a step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, and
A computer is made to perform a step of determining an appropriate grip attribute, which is an attribute of the grip suitable for the player, based on the player characteristics.
The step of acquiring the measurement data is
Using the first measuring device included in the measuring device, a step of acquiring first measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and a step of acquiring the first measurement data.
Using a second measuring device different from the first measuring device included in the measuring device, the second measurement data that measures the behavior of the hitting tool when the player swings the hitting tool is acquired. Including steps
The first measurement data and the second measurement data are data obtained by measuring the behavior of the hitting tool with respect to the same swing motion.
The step of determining the player characteristics is
Based on the first measurement data, a step of analyzing the deformation of the hitting tool according to a model using the player characteristic as an analysis parameter, and
Based on the analysis of the deformation of the hitting tool, a step of deriving the behavior of a predetermined portion included in the hitting tool at a predetermined timing during the swing of the hitting tool as a first result value, and
Based on the second measurement data, a step of deriving the behavior of the predetermined part at the predetermined timing as a second result value, and
Including a step of determining the analysis parameters so that the first result value is consistent with the second result value.
Fitting program. It is a fitting program that fits the grip of the hitting tool to the player.
A step of acquiring measurement data that measures the behavior of the hitting tool when the player swings the hitting tool, and
Based on the measurement data, a step of determining a player characteristic, which is a characteristic when the player swings the hitting tool, and
Based on the player characteristics, a step of determining an appropriate grip attribute which is an attribute of the grip suitable for the player, and
To cause the computer to perform a step of determining the gripping method of the grip to be proposed to the player based on the player characteristics.
Fitting program.

Images