JP2019083916A - Hitting tool fitting device - Google Patents

Abstract

To enable an arrangement pattern suitable for a player to be determined easily on a hitting tool in which one or more weights can be arranged by a plurality of arrangement patterns.SOLUTION: There is provided a fitting device used for determining a recommended pattern which is an arrangement pattern suitable for a player for a hitting tool in which one or more weights can be arranged by a plurality of arrangement patterns. The fitting device includes an acquisition unit for acquiring measurement data in which a motion of the hitting tool during a test swing by the player is measured, and a simulation unit for simulating a behavior of the hitting tool during a virtual swing for at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data.SELECTED DRAWING: Figure 7

Description

  The present invention relates to a fitting device, method, and program used to determine an arrangement pattern suitable for a player for a hitting tool capable of arranging one or more weights in a plurality of arrangement patterns.

  Conventionally, golf clubs having heads capable of arranging one or more weights in a plurality of arrangement patterns are known (for example, Patent Documents 1 and 2). In this type of golf club, the weight, center of gravity position, moment of inertia, and the like of the head can be adjusted by changing the arrangement pattern of the weights, and the specifications of the same head can be variously changed.

Special publication 2014-524343 gazette JP, 2016-010579, A

  However, when using the golf club head as described above, the golfer does not know how to place the weight and is lost. For this reason, it is necessary to try variously changing the arrangement pattern of the weights and to select the arrangement pattern that is felt appropriate. In addition, not only a golf club but the same problem may arise with respect to the striking tool which can arrange | position a weight.

  An object of the present invention is to make it possible to easily determine an arrangement pattern suitable for a player with respect to a strike tool capable of arranging one or more weights in a plurality of arrangement patterns.

  The fitting device according to the first aspect is a fitting device used to determine a recommended pattern, which is the placement pattern suitable for the player, for a hitting tool capable of placing one or more weights in a plurality of placement patterns. An acquisition unit for acquiring measurement data obtained by measuring the motion of the hitting tool in the test swing by the player, and at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data And a simulation unit that simulates the behavior of the tool in a virtual swing.

  The fitting device according to the second aspect is the fitting device according to the first aspect, and further includes an arrangement determining unit that determines the recommended pattern based on the behavior of the hitting tool in the virtual swing.

  The fitting device according to a third aspect is the fitting device according to the first aspect or the second aspect, wherein the simulation unit is configured to perform the hitting in the virtual swing in the specific arrangement pattern based on the measurement data. The deformation of the tool is analyzed, and based on the result of the analysis of the deformation, the behavior of the tool in the virtual swing in the specific arrangement pattern is simulated.

  The fitting device according to a fourth aspect is the fitting device according to any one of the first aspect to the third aspect, wherein the simulation unit is a specification of the hitting tool in the specific arrangement pattern in addition to the measurement data. Based on the information, the behavior of the tool in the virtual swing in the specific arrangement pattern is simulated.

  A fitting device according to a fifth aspect is the fitting device according to any one of the first aspect to the fourth aspect, wherein the simulation unit performs the behavior of the tool in the test swing based on the measurement data. Simulation is performed to simulate the behavior of the tool in the virtual swing in the specific arrangement pattern based on the behavior of the tool in the test swing.

  A fitting device according to a sixth aspect is the fitting device according to any one of the first aspect through the fifth aspect, wherein the specific arrangement pattern is the arrangement pattern of the striking tool used for the test swing It is different.

  The fitting device according to a seventh aspect is the fitting device according to any one of the first to sixth aspects, and the hitting tool is a golf club.

  The fitting device according to an eighth aspect is the fitting device according to the seventh aspect, wherein the hitting tool is a golf club having a head capable of arranging the one or more weights in the plurality of arrangement patterns.

  A fitting device according to a ninth aspect is the fitting device according to any one of the first aspect to the eighth aspect, wherein the hitting tool with the specific arrangement pattern is the hitting tool used for the test swing It is the same weight.

The fitting program according to the tenth aspect is a fitting program used to determine a recommended pattern, which is the placement pattern suitable for the player, for a hitting tool capable of placing one or more weights in a plurality of placement patterns. The following steps are performed by the computer.
(1) acquiring measurement data obtained by measuring the movement of the hitting tool in the test swing by the player.
(2) simulating the behavior of the tool in the virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data.

A fitting method according to an eleventh aspect is a fitting method for determining a recommended pattern, which is the placement pattern suitable for a player, with respect to a hitting tool capable of placing one or more weights in a plurality of placement patterns, Includes the following steps:
(1) acquiring measurement data obtained by measuring the movement of the hitting tool in the test swing by the player.
(2) simulating the behavior of the tool in the virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data.
(3) determining the recommended pattern based on the behavior of the hitting tool in the virtual swing.

  According to the above viewpoint, measurement data obtained by measuring the motion of the hitting tool in the test swing by the player is measured. Then, based on the measurement data, the behavior of the tool in the virtual swing is simulated with respect to at least one arrangement pattern included in the plurality of arrangement patterns of weights in the tool. Therefore, by referring to the result of this simulation, it is possible to easily determine an arrangement pattern suitable for the player from among a plurality of arrangement patterns.

BRIEF DESCRIPTION OF THE DRAWINGS The figure which shows the whole structure of the fitting system containing the fitting apparatus which concerns on one Embodiment of this invention. Functional block diagram of the fitting system. The perspective view of a golf club. The perspective view of the head seen from the sole side. (A) A diagram showing an address state. (B) The figure which shows a top state. (C) A diagram showing an impact state. (D) A diagram showing the finish state. The figure explaining the exercise | movement of the golf club at the time of a wackle operation. The flowchart which shows the flow of the fitting method which concerns on one Embodiment of this invention. The graph of the locus of the grip end based on the sensor data before amendment and after amendment. The graph of the angular velocity at the time of a golf swing by a golfer with a strong grip. The graph of the angular velocity at the time of a golf swing by a golfer with weak grip power. The graph of the frequency spectrum of the angular velocity of FIG. 9A. The graph of the frequency spectrum of the angular velocity of FIG. 9B. The graph of the frequency spectrum of the angular velocity when a golfer intentionally swings a golf club by intentionally holding it firmly. The graph of the frequency spectrum of the angular velocity when making the golfer intentionally weakly hold and swing a golf club the same as FIG. 11A. The figure which modeled the golf club according to the finite element method. The perspective view of the head seen from the sole side concerning a modification.

  Hereinafter, a fitting device, a method, and a program according to an embodiment of the present invention will be described with reference to the drawings.

<1. Outline of Fitting System>
FIG. 1 and FIG. 2 show an overall configuration diagram of a fitting system 100 including a fitting device 1 according to an embodiment of the present invention. The fitting system 100 determines an arrangement pattern (hereinafter also referred to as a recommended pattern) suitable for the golfer 7 with respect to the golf club 5 having the heads 53 capable of arranging the plurality of weights W1 and W2 in a plurality of arrangement patterns. It is a system to support the The fitting apparatus 1 simulates the behavior of the golf club 5 in the virtual swing with respect to the arrangement pattern of the various weights W1 and W2 based on measurement data obtained by measuring the motion of the golf club 5 during the test swing by the golfer 7. And based on the result of the above simulation, a recommendation pattern is determined. The above measurement is performed by the measuring device 2, and the measuring device 2 constitutes the fitting system 100 together with the fitting device 1.

  Hereinafter, after demonstrating the structure of the golf club 5, the measuring device 2, and the fitting apparatus 1, the fitting method by the fitting system 100 is demonstrated.

<2. Details of each part>
<2-1. Configuration of Golf Club>
As shown in FIG. 3, the golf club 5 comprises 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, like a general golf club. Ru. However, on the head 53, the weights W1 and W2 can be arranged in a plurality of arrangement patterns (see FIG. 4). The golf club 5 is configured such that specifications such as the weight, the center of gravity position, and the moment of inertia of the head 53 can be adjusted by attaching and detaching the weights W1 and W2 to the head 53.

  FIG. 4 is a perspective view of the head 53 viewed from the side of the sole 53 a forming the bottom of the head 53. Weight ports WP1 and WP2 are formed in the sole 53a, and the weight ports WP1 and WP2 are configured to receive weights and weights W1 and W2, respectively. As shown in FIG. 4, the head 53 of the present embodiment is a wood type, more specifically a driver type, but the head 53 may be a utility type, an iron type, a putter type or the like.

  FIG. 4 shows an exploded view of a mounting mechanism M1 for mounting the weight W1 on the weight port WP1. As shown in the figure, the mounting mechanism M1 has a socket 60 in addition to the weight W1 and the weight port WP1. The weight port WP1 forms a recess in the outer surface of the head 53, and the socket 60 is accommodated in the recess. The socket 60 has a main body 60a and a bottom 60b, and is fixed to the weight port W1 using an adhesive. The main body 60 a is cylindrical, and a through hole 64 is formed at the center. When the weight W1 is inserted into the through hole 64 and rotated by a predetermined amount, the weight W1 is fixed to the socket 60 in the weight port WP1. On the other hand, when it is rotated reversely, this fixed state is released, and the weight W1 can be removed from the socket 60 in the weight port WP1. Therefore, the weight W1 is detachable from the weight port WP1. The weight W2 is also detachable from the weight port W2 by the same mounting mechanism M1.

  In the present embodiment, the weight W1 can be selected from many kinds of weights of 3 g, 4 g, 5 g, 6 g, 7 g, 8 g, 9 g, 10 g and 11 g. The same applies to the weight W2. The arrangement pattern of the weights W1 and W2 with respect to the weight ports WP1 and WP2 is defined by the number of weight variations of the weight W1 × the number of weight variations of the weight W2.

  As shown in FIG. 4, the weight ports WP <b> 1 and WP <b> 2 are arranged at intervals in the toe-heel direction. The weight port WP1 is disposed closer to the toe side than the center-of-gravity position in a state in which neither weight W1 nor W2 is attached to the head 53 (which may be referred to as an unmounted state). On the other hand, the weight port WP2 is arranged on the heel side of the center of gravity in the unmounted state. Therefore, by making the weight W1 attached to the weight port WP1 heavier, the position of the center of gravity of the head 53 can be moved to the toe side. Conversely, by making the weight W2 attached to the weight port WP2 heavier, the center of gravity of the head 53 can be moved to the heel side.

  In addition, various configurations related to the weight, such as the number of weights, the variation of the weight, the mounting mechanism, etc., are merely an example, and the configuration of the weight of the head 53, the position of the center of gravity, the moment of inertia, etc. Can. For example, the number of weight ports and hence the number of weights that can be attached to the head 53 simultaneously may be one or three or more. In addition, the number of weight variations that can be attached to one weight port may be one. Further, the variations in weight of the weights W1 and W2 may be different from each other. Also, the attachment mechanism of the weight can be screw type. Moreover, the attachment place of a weight is not restricted to sole 53a, For example, it can also be set as the crown which comprises the upper surface of the head 53. FIG. In addition, weights can be arranged on both the sole 53a and the crown. In this case, the position of the center of gravity of the head 53 in the vertical direction can be adjusted. Similarly, in at least one of the sole 53a and the crown, when the weights can be arranged with an interval in the face-back direction, the center-of-gravity position of the head 53 in the face-back direction can be adjusted.

2-2. Measurement equipment>
The measuring device 2 according to the present embodiment is composed of an inertial sensor unit 4 and a distance image sensor 21. The following will be described in order.

<2-2-1. Inertial sensor unit>
As shown in FIG. 1, the inertial sensor unit 4 is attached to a grip end 51a which is an end of the grip 51 of the golf club 5 opposite to the head 53, and measures movement of the grip end 51a. The inertial sensor unit 4 is configured to be small and lightweight so as not to hinder the swing operation.

  As shown in FIG. 2, an acceleration sensor 41, an angular velocity sensor 42, and a geomagnetic sensor 43 are mounted on the inertial sensor unit 4 according to the present embodiment. In addition, the inertial sensor unit 4 is also equipped with a communication device 40 for transmitting sensor data output from the sensors 41 to 43 to an external device such as the fitting device 1 via the communication line 17. . In the present embodiment, the communication device 40 is wireless so as not to interfere with the swing operation, but may be connected to the fitting device 1 in a wired manner via a cable.

The acceleration sensor 41, the angular velocity sensor 42, and the geomagnetic sensor 43 respectively measure acceleration, angular velocity, and geomagnetism in the xyz local coordinate system with the grip end 51a as an origin. More specifically, the acceleration sensor 41, x-axis, the acceleration a _x of the y-axis and z-axis direction of the grip end 51a, a _y, measures the a _z. The angular velocity sensor 42 measures angular velocities ω _x , ω _y and ω _z of the grip end 51 a around the x axis, y axis and z axis. The geomagnetic sensor 43 measures geomagnetism m _x , m _y and m _z in the x-axis, y-axis and z-axis directions at the grip end 51a. The sensor data (measurement data) regarding these acceleration, angular velocity, and geomagnetism are acquired as time series data of a predetermined short sampling cycle. The xyz local coordinate system is a three-axis orthogonal coordinate system defined as shown in FIG. That is, the z-axis coincides with the direction in which the shaft 52 extends, and the direction from the head 53 toward the grip 51 is the z-axis positive direction. The y-axis is oriented as much as possible along the flying direction when addressing the golf club 5, ie, generally along the face-back direction, and the direction from the back side to the face side is the y-axis positive direction . The x-axis is oriented orthogonal to the y-axis and z-axis, ie, generally along the toe-heel direction, and the direction from the heel side to the toe side is the x-axis positive direction.

  The golf swing generally proceeds in the order of address, top, impact and finish. The address means a stationary state where the head 53 is disposed near the ball as shown in FIG. 5A, and the top takes back the golf club 5 from the address as shown in FIG. 5B. This means that the head 53 is most raised. The impact means a state at the moment when the golf club 5 is thrown down from the top and the head 53 collides with the ball as shown in FIG. 5C, and the finish is as shown in FIG. 5D. After impact, it means that the golf club 5 is swung forward. Also, in general, the golfer 7 performs a waggle operation before the address. The wiggle motion is a motion of swinging the golf club 5 to the left or right as if the head 53 is rotated about the position where the golfer 7 grips the grip 51 with the hand 75 in order to determine the position of the address ( See Figure 6). In the description of the present embodiment, it is assumed that the golf swing includes the waggling motion unless otherwise specified.

  In the present embodiment, sensor 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 sensor data may be stored in the storage device in the inertial sensor unit 4, and the sensor data may be taken out from the storage device after the end of the swing operation and transferred to the fitting device 1.

<2-1-2. Distance image sensor>
The distance image sensor 21 is a camera having a distance measuring function of photographing a situation where the golf player 7 tries to hit the golf club 5 as a two-dimensional image and measuring the distance to the subject. Therefore, the distance image sensor 21 can output a time-series depth image together with a time-series two-dimensional image. In addition, the two-dimensional image here is an image which projected the image of imaging | photography space in the plane orthogonal to the optical axis of a camera. Further, the depth image is an image in which data of the depth of the subject in the optical axis direction of the camera is allocated to pixels in an imaging range substantially the same as the two-dimensional image. In the present embodiment, the distance image sensor 21 is installed in front of the golfer 7 in order to shoot the golfer 7 from the front side.

  The distance image sensor 21 used in the present embodiment 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 an infrared ray or a dot pattern projection method. Therefore, as shown in FIG. 2, the distance image sensor 21 emits infrared light forward and emits IR light from the IR light emission unit 21a and IR light from the IR light emission unit 21a. And a light receiving unit 21b. The IR light receiving unit 21 b is a camera having an optical system, an imaging device, and the like. The IR light emitting unit 21a and the IR light receiving unit 21b are housed in the same housing 21f and disposed in front of the housing 21f.

  The distance image sensor 21 incorporates, in addition to the CPU 21 c for controlling the entire operation of the distance image sensor 21, a memory 21 d for at least temporarily storing image data (measurement data) of the captured IR image and depth image. . A control program for controlling the operation of the distance image sensor 21 is stored in the memory 21 d. Further, the distance image sensor 21 also incorporates a communication unit 21e, and the communication unit 21e transmits the captured image data to an external device such as the fitting device 1 via the wired or wireless communication line 17. It can be output. In the present embodiment, the CPU 21 c and the memory 21 d are also housed in the housing 21 f together with the IR light emitting unit 21 a and the IR light receiving unit 21 b. In addition, delivery of the image data to the fitting apparatus 1 does not necessarily need to be performed via the communication part 21e. For example, if the memory 21d is detachable, it is removed from the inside of the housing 21f and inserted into the reader of the fitting device 1 (corresponding to the communication unit 15 described later) to read out the image data by the fitting device 1. Can.

  In the present embodiment, infrared imaging is performed by the distance image sensor 21, and the behavior of the grip end 51a is analyzed based on the captured IR image. Therefore, although not particularly shown in FIG. 1 and FIG. 3, in order to facilitate measurement of the movement of the grip end 51a by the distance image sensor 21, the grip end 51a is provided with a marker sheet that reflects infrared rays efficiently. It will be affixed as Further, a similar infrared reflection sheet is attached to the shaft 52 as a marker.

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 in a general-purpose computer from a recording medium 30 such as a computer readable CD-ROM or via a communication line such as the Internet. Ru. The fitting program 6 is software for analyzing a golf swing based on measurement data sent from the measuring device 2 and causes the fitting device 1 to execute an operation described later. The fitting program 6 has a function of determining a recommended pattern.

  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 (including a recommended pattern in the present embodiment) and the like to the user. The term "user" as used herein is a general term for golfers 7 themselves and their instructors who require analysis results of a golf swing. The input unit 12 can be configured by a mouse, a keyboard, a touch panel, and the like, and receives an operation on the fitting device 1 from the user.

  The storage unit 13 can be configured by a hard disk or the like. In the storage unit 13, besides the fitting program 6 being stored, measurement data sent from the measuring device 2 is stored. Further, in the storage unit 13, a club specification database 80 is stored. Details of the club specification database 80 will be described later. The control unit 14 can be configured of a CPU, a ROM, a RAM, and the like. The control unit 14 virtually operates as an acquisition unit 14 a, a simulation unit 14 b, a placement determination unit 14 c, and a display control unit 14 d by reading out and executing the fitting program 6 in the storage unit 13. The details of the operation of each of the units 14a to 14d will be described later. The communication unit 15 functions as a communication interface that transmits and receives data to and from an external device such as the measuring device 2 or the like.

<3. Fitting method>
Hereinafter, a fitting method for determining a recommended pattern for the golfer 7 will be described with reference to FIG.

First, in step S1, the golf club 5 with the above-mentioned inertia sensor unit 4 is test-swed by the golfer 7. The motion of the golf club 5 during this test swing is measured by the measuring device 2. More specifically, the inertial sensor unit 4, the acceleration a _x in the three axial directions of the xyz local coordinate system of the grip end 51a, a _y, a _z, the angular velocity ω _x, ω _y, ω _z and geomagnetism m _x, m Sensor data (measurement data) regarding _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 14 a receives this via the communication unit 15 and stores it in the storage unit 13. In the present embodiment, time series sensor data of at least a period of wiggle operation and a subsequent period from an address to a finish are collected.

  Further, in step S1, simultaneously with the measurement by the inertial sensor unit 4, the distance image sensor 21 acquires image data (measurement data) that captures how the golf club 5 swings from the front side of the golfer 7 and the communication unit It is transmitted to the fitting device 1 via 21e. On the other hand, on the fitting device 1 side, the acquisition unit 14 a receives this via the communication unit 15 and stores it in the storage unit 13. In the present embodiment, time-series image data of at least the period of the wiggle operation and the period from the address to the finish are collected. The image data referred to here includes two systems of image data including an IR image and a depth image.

  In the following step S2, the simulation unit 14b calculates the rotation center C of the golf club 5 in the test swing based on the measurement data stored in the storage unit 23. In many cases, as shown in FIG. 6, the golfer 7 holds the vicinity of the end of the golf club 5 and swings the golf club 5. Therefore, conventionally, in a simulation model for analyzing a golf swing, it is assumed that the golf club 5 rotates around the grip end 51a. However, in practice, the center of rotation C of the golf club 5 is often not near the grip end 51 a but near the holding position at which the golf player 7 just holds the golf club 5. Conventionally, such a true rotation center of the golf club 5 has not been considered, but grasping this can contribute to more accurate simulation. The grip position on the grip 51 is unique to the golfer 7. Therefore, the rotation center C can be assumed to be substantially constant between different golf swings by the same golfer 7, and is an analysis parameter representing a feature when the golfer 7 performs a golf swing (hereinafter referred to as a golfer characteristic). used.

  Specifically, the simulation unit 14 b extracts sensor data (hereinafter referred to as “waffle data”) at the time of the wiggle operation performed before the address from the measurement data stored in the storage unit 23. Subsequently, the simulation unit 14b calculates the rotation center C of the golf club 5 in the test swing based on the wackle data. 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 75 to give the golf club 5 a motion including rotation. As shown in FIG. 6, the motion of the golf club 5 at the time of the wiggle motion is mainly a rotational motion around the rotation center C, and almost no translational component occurs. And, during the wiggle 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 is zero in the golf club 5 is calculated as the position of the rotation center C.

Here, the coordinate of any point on the golf club 5 in the xyz local coordinate system is represented as h. In addition, 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 h = (0, 0, _hz ). Further, h represents the relative position with respect to the grip end 51a which is the origin of the xyz local coordinate system, h _z of the z component represents the distance from the grip end 51a to the rotational center C. At this time, the acceleration at the point of the coordinate h on the golf club 5 is expressed according to the following equation. However, a _s = (a _x , 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 It is. Also, tilde represents a tensor.

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

The simulation unit 14 b calculates h by substituting the values of the acceleration a _s and the angular velocity ω _s included in the waggle data into the equation (2). Incidentally, h can be calculated if there is a data set of acceleration a _s and the angular velocity omega _s of the one timing. However, in this embodiment, from the viewpoint of improving the accuracy, calculates h for the data set of acceleration a _s and the angular velocity omega _s of a plurality of timings during Wagguru operation, they are averaged. Alternatively, the equation on the left side of Equation 2 may be integrated in the period of the waggling operation to calculate h such that it becomes zero.

  The golf swing is configured by a complex combination of translational motion and rotational motion. In this embodiment, the translational motion and the rotational motion can be separated and the rotation center C of the rotational motion can be accurately derived by focusing mainly on the data at the time of the motion including the rotational motion with a small influence of the translational motion. .

In the following step S3, the simulation unit 14b corrects the measurement data stored in the storage unit 23 based on the rotation center C. The measurement data to be corrected in the present embodiment is sensor data of accelerations a _x , a _y and a _z from the address to the finish. Since the position of the inertial sensor unit 4 is offset from the rotational center C by the distance h _z , the acceleration a _x , a _y and a _z at the grip end 51 a measured by the inertial sensor unit 4 can be obtained. The rotation component is included. This rotation component is an acceleration under the influence of the angular velocity and the angular acceleration generated at the position of the inertial sensor unit 4 with the rotation around the rotation center C. Simulation unit 14b calculates the rotation component (second term of number 2 on the left) on the basis of the rotation center C, by removing it from a _s, acceleration a _s after correction in the handle end 51a '= Calculate data of (a _x ', a _y ', a _z ').

FIG. 8 is a graph of the trajectory of the grip end derived by simulation actually performed by the present inventors. More specifically, after converting time-series data of acceleration in the xyz local coordinate system into values in the inertial coordinate system, by integrating the time-series data of converted acceleration twice, the grip in the golf swing is obtained. Time series data representing the position of the end was calculated. Graph of "pre-correction" in FIG. 8, without correction in step S3, a graph of the acceleration a _s and the angular velocity ω trajectory when grip end derived from the sequence data of _s, the graph of the "corrected" Is a graph of the trajectory of the grip end derived from the time series data of the acceleration a _s ′ and the angular velocity ω _s after the correction in step S3. As can be seen by comparing these graphs, the graph before correction is jagged, and in the graph, noise that appears to be caused by angular velocity and angular acceleration is confirmed, but from the graph after correction, such noise It can be seen that has been removed.

In the following step S4, the simulation unit 14b calculates the posture of the grip 51 at each time in the test swing based on the measurement data corrected in step S3. The attitude of the grip 51 can be represented by the orientation of the xyz local coordinate system in an inertial coordinate system fixed relative to the ground. Therefore, in the present embodiment, a posture matrix [S] for transforming the inertial coordinate system into the xyz local coordinate system is derived as the posture of the grip 51.

The meanings of the nine components of the pose matrix [S] are as follows.
Component c1: Cosine of the angle between the first axis of the inertial coordinate system and the first axis of the xyz local coordinate system Component c2: The angle between the second axis of the inertial coordinate system and the first axis of the xyz local coordinate system Cosine component c3: Cosine of the angle between the third axis of the inertial coordinate system and the first axis of the xyz local coordinate system Component c4: the first axis of the inertial coordinate system and the second axis of the xyz local coordinate system Cosine component of the formed angle c5: Cosine component of the angle between the second axis of the inertial coordinate system and the second axis of the xyz local coordinate system c6: the third axis of the inertial coordinate system and the second axis of the xyz local coordinate system Cosine component of the angle with the component c7: Cosine component of the angle between the first axis of the inertial coordinate system and the third axis of the xyz local coordinate system c8: the second axis of the inertial coordinate system and the second of the xyz local coordinate system Cosine component of the angle formed by the three axes c9: the angle between the third axis of the inertial coordinate system and the third axis of the xyz local coordinate system Cosine Here, vector (c1, c2, c3) represents a unit vector in the first axis direction of the xyz local coordinate system, and vector (c4, c5, c6) represents a unit in the second axis direction of the xyz local coordinate system A vector is represented, and a vector (c7, c8, c9) represents a unit vector in the third axis direction of the xyz local coordinate system.

  In step S4, the posture matrix [S] is calculated in time series at least in the period from the address to the impact. The attitude matrix [S] is calculated based on sensor data including time-series acceleration, angular velocity, and geomagnetic data. In addition, since various methods are known for deriving an attitude matrix [S] representing the attitude of the grip based on such sensor data, detailed description will be omitted here, but if necessary, The methods described in JP-A-2016-2429 and JP-A-2016-2430 by the applicants can be followed. In addition, although it is possible to derive the attitude matrix [S] using only acceleration and angular velocity data among sensor data without using geomagnetic data, various methods such as this are also known here. Detailed explanation is omitted.

  As described above, the posture matrix [S] can be calculated only from sensor data, but in the present embodiment, the posture matrix is also referred to the image data acquired in step S1 in order to further improve the accuracy of analysis. [S] is calculated. That is, both the sensor data acquired in step S1 (sensor data corrected in step S3) and the image data capture the same operation of the golf club 5. Therefore, a predetermined objective function including the posture matrix [S] is defined using both sensor data and image data, and the posture matrix [S] is derived as an optimal solution that minimizes or maximizes this. be able to. For example, the method described in JP-A-2017-119102 can be followed.

  In the following step S5, based on the measurement data corrected in step S3, the simulation unit 14b determines the acceleration and angular velocity of the grip 51 (more precisely, the grip end 51a) in the xyz local coordinate system at each time during the test swing. And derive the angular acceleration. Specifically, the acceleration of the grip 51 in the xyz local coordinate system is derived by canceling the gravity component from the output value of the acceleration sensor 41 corrected in step S3. The angular velocity of the grip 51 in the xyz local coordinate system matches the output value of the angular velocity sensor 42. The angular acceleration of the grip 51 in the xyz local coordinate system is calculated by differentiating the output value of the angular velocity sensor 42. The values of acceleration, angular velocity and angular acceleration in the xyz local coordinate system of the grip 51 are also calculated in time series at least in the period from the address to the impact.

  As described above, the values of acceleration, angular velocity and angular acceleration in the xyz local coordinate system of the grip 51 can be calculated only from sensor data, but in the present embodiment, in order to further improve the accuracy of analysis, the posture matrix [ As in the case of S], the optimum solution is derived with reference to the image data acquired in step S1. Again, for example, the method described in JP-A-2017-119102 can be followed.

  In the following step S6, the simulation unit 14b determines the strength of the gripping force with which the golfer 7 grips the grip 51 during the test swing, based on the measurement data acquired in step S1. During the golf swing, the grip 51 is gripped by the golfer 7, but is not gripped as hard as the fixed end, but is gripped with soft hand movement. Therefore, grasping such flexible gripping conditions can contribute to more accurate simulation. The strength of the gripping force that determines this gripping condition is unique to the golfer 7. Thus, the strength of the gripping force can be assumed to be approximately constant between different golf swings by the same golfer 7, and is used as an analysis parameter representing golfer characteristics.

  Hereinafter, an algorithm for determining the strength of the gripping force will be described. The present inventors conducted experiments described below, and based on time-series data representing the behavior of the hitting tool when the user used the hitting tool, the strength of the gripping force at which the user grips the hitting tool We have found that it is possible to determine

In this experiment, the golfer was given a golf swing. At this time, a golf club having an inertial sensor attached to its grip end, such as the golf club 5 described above, was used. Figure 9A, strong gripping force golfer (hereinafter, referred to as strong golfer) shows an example of time-series data of the angular velocity omega _z output from the angular velocity sensor during a golf swing by. Further, in FIG. 9B, it shows an example of time-series data of strong weak golfers gripping force than golfers (hereinafter, referred to as weak force golfers) outputted from the angular velocity sensor during a golf swing by the angular velocity omega _z. The strength of the gripping force can be determined by allowing a golfer to swing a golf club having a pressure sensor attached to the grip and swinging it, and measuring the value of the pressure at this time, but it can be roughly determined visually. . The horizontal axis zero in FIGS. 9A and 9B represents the timing of impact.

  As the inventors accumulate a large number of time-series data representing the movement of a golf club during a golf swing by a strong golfer and a weak golfer, such swing data indicates the strength of the golfer's gripping force. I found that a characteristic waveform appeared in response. More specifically, as shown in FIG. 9A, while the waveform representing the movement of the golf club swinged by the strong golfer is relatively smooth, the similar waveform by the weak golfer observes small crests It was done. That is, it has been found that the waveform of a weak golfer contains more high frequency components than the waveform of a strong golfer.

  In order to confirm the above findings more accurately, frequency analysis was performed. FIGS. 10A and 10B are graphs of frequency spectra of frequency-analyzed after passing the time series data of FIGS. 9A and 9B respectively through a band pass filter (for extracting a band of 5 to 20 Hz). From the figure, a peak appears in the vicinity of 7 to 10 Hz in the frequency spectrum of the weak golfer, but no such peak appears in the frequency spectrum of the strong golfer.

  From the above experiment, it was found that the magnitude of the frequency component included in the time-series data representing the movement of the golf club at the time of swing changes in accordance with the strength of the gripping force for gripping the golf club. Therefore, it is possible to determine the strength of the gripping force by acquiring time-series data representing the motion of the golf club at the time of swing and specifying the magnitude of the predetermined frequency component included in this. . It is considered that this is because the vibration characteristic of the hitting tool changes according to the strength of the golfer's gripping force.

11A and 11B show the results when the same golfer intentionally changes the grip force to perform the golf swing, and FIG. Shows the case where it was intentionally held weak. In the case of this experiment, the frequency spectrum of the angular velocity omega _z when gripping force is weak, but there is a large peak near 7～10Hz, the frequency spectrum of the angular velocity omega _z when the gripping force is strong, similar There is no big peak. Therefore, the certainty of the above findings was further confirmed.

  Also, referring back to FIGS. 9A and 9B, high frequency components are mainly confirmed in a period of impact −2 seconds to impact −0.5 seconds. This period corresponds to the back swing period from the address to the top. That is, when swinging up the golf club as in the back swing, the golf club is moving relatively slowly compared to when swinging down the golf club after the top, so the golfer's gripping force is smaller It is considered that the influence of the In addition, when the movement is fast, the gripping force is likely to be large, so the slow behavior tends to make a difference between the golfers. Therefore, it is considered that more accurate analysis is possible if attention is paid to data during a period in which the movement of the hitting tool is relatively slow.

Based on the above findings, in step S6, the strength of the gripping force of the golfer 7 is determined. Specifically, the simulation unit 14b (in this embodiment, the sensor data of omega _z) measurement data stored in the storage unit 23 to apply a band pass filter for passing only a predetermined frequency component. Here, the predetermined frequency component is a wave component in a predetermined frequency band in which a feature related to the strength of the gripping force of the golfer 7 appears prominently, and in the present embodiment, the feature when the gripping force is weak is remarkable. The wave component in the 5-20 Hz band that appears in In addition, the waveform after application of the band pass filter which passes the frequency component of 5-20 Hz is shown with the broken line by FIG. 9B for reference.

Subsequently, the simulation unit 14b (in this embodiment, the sensor data of omega _z) measurement data after passage of the bandpass filter from the golf club 5 during the backswing (more precisely, the grip end 51a) movement of Extract time-series data representing As can be seen from the results of the above-described experiment, when the holding force of the golf player 7 is weak, the waveform of the high frequency component appears prominently in the time series data at the time of the back swing. Therefore, by cutting out time series data at the time of back swing, it is possible to more accurately determine the strength of the gripping force in the subsequent analysis. In addition, back swing means movement from address to top, but as time series data at the time of back swing, time series data from a little before or a little after address to a little before or a little after top is extracted May be In addition, after extracting sensor data at the time of back swing, it can also be applied to a band pass filter.

  Subsequently, the simulation unit 14b performs frequency analysis on the time-series data at the time of backswing extracted as described above. More specifically, the above time series data is fast Fourier transformed to derive a frequency spectrum. Then, by integrating this frequency spectrum, the magnitude D of the predetermined frequency component included in the above time series data is specified. In addition, by passing through the band pass filter, the integral value here becomes a value representing the magnitude of the component of the wave in the predetermined frequency band which the band pass filter passes.

  Subsequently, the simulation unit 14b determines the strength of the gripping force of the golfer 7 in accordance with the magnitude D of the predetermined frequency component. More specifically, since the predetermined frequency band mentioned here includes 7 to 10 Hz, in which the difference in strength of the gripping force tends to be prominent, the magnitude D (integral value) accurately indicates the strength of the gripping force It can be expressed in Therefore, the magnitude D of the predetermined frequency component is compared with the predetermined threshold, and if D is less than the predetermined threshold, it is determined that the gripping force is strong, and if it is greater than the predetermined threshold, the gripping force is determined to be weak Do. It is assumed that the threshold used here is predetermined through many experiments and stored in the storage unit 23.

  In the following step S7, the simulation unit 14b analyzes the deformation of the shaft 52 at each time during the test 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 the shaft 52 are assumed to be multistage cylindrical beam elements and the head 53 is assumed to be rigid. As shown in FIG. 12, 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 a physical area, and the remaining area is an elastic deformation area.

Further, in the present analysis model, in order to express the flexible gripping condition of the golfer 7, as shown in FIG. 12, 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 expressed by the spring constant of the element corresponding to the grip 51. The spring constant is a golfer characteristic that represents the strength of the gripping force with which the golfer 7 grips the grip 51. Also, in general, the strength of the gripping force is not constant during the swing period, relatively small from the address to the top, and relatively large during the downswing after the top. Therefore, in the present 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. Thus, in the present spring model, the spring constants are the components ka _x , ka _y and ka _{z in} the x, y and z directions at the time of addressing (more specifically, from address to top), and x, y and z at the time of impact. Represented _by the directional components ki _x , ki _y , ki _z . Spring constants ka _x , ka _y , ka _z , ki _x , ki _y , and k _z become analysis parameters of this analysis model.

  The basic idea of the analysis model of the deformation of the shaft 52 according to the present embodiment is "The effect of club head inertia on shaft behavior" (Kenta Matsumoto, 5 others, Sports Engineering · Human Dynamics 2015 Proceedings, B −34 (USB memory), October 2015). Therefore, this analytical model can be understood in more detail by referring to the above document.

In step S7, the simulation unit 14b determines the spring constant ka _x , ka _y , ka _z , ki _x , ki _y , ki representing the gripping condition of the grip 51 by the golfer 7 according to the strength of the gripping force in step S6. Determine _z . In the present embodiment, the spring constants ka _x , ka _y , ka _z , ki _x , ki _y correspond to strong gripping states, that is, harder gripping states, and weak gripping forces, that is, softer gripping states. , ki _z are predetermined respectively, according to the result of the step S6, a suitable spring constant _{ka x, ka y, ka z} , ki x, ki y, ki z is selected. Then, the simulation unit 14 b inputs the spring constants ka _x , ka _y , ka _z , ki _x , ki _y , and k _z into the above-described analysis model of the deformation of the shaft 52. In addition, the simulation unit 14b may use, as parameters representing the behavior of the grip 51, the posture, acceleration, angular velocity, and angular acceleration of the grip 51 at each time in the test swing derived in steps S4 and S5. Input to the analysis model of Furthermore, the simulation unit 14b also inputs the specification information of the golf club 5 swinged in step S1 into the above-described analysis model of the deformation of the shaft 52. Thereby, the deformation amount of each element of the grip 51 and the shaft 52 is calculated.

  At this time, the specification information of the golf club 5 input to the analysis model is acquired by referring to the club specification database 80. The club specification database 80 is associated with information (hereinafter referred to as part ID information) such as a model number for identifying types of various parts of the golf club 5 including the shaft 52, the head 53 and the grip 51, Specification information is stored. For the head 53, specification information on weight, center of gravity position and moment of inertia is stored, and specification information on data of the shape of the head 53 (CAD data at the time of design of the head 53) and the like are also stored. Further, as described above, when the arrangement pattern of the weights W1 and W2 is changed, the specifications of the weight of the head 53, the position of the center of gravity and the moment of inertia also change. Therefore, in the club specification database 80, various specification information is organized and stored for each arrangement pattern of the weights W1 and W2.

  The user inputs the part ID information for specifying the part of the golf club 5 (hereinafter sometimes referred to as a test club) used for the test swing in step S1, and the arrangement pattern of the weights W1 and W2 in the test club. Enter through. The simulation unit 14b acquires specification information of the golf club 5 input to the analysis model by searching the club specification database 80 using these pieces of information input by the user as keys.

  In the following step S8, the simulation unit 14b determines a predetermined behavior of the test club generated as a result of the test swing based on the deformation amount of each element of the grip 51 and the shaft 52 calculated in step S7 (hereinafter referred to as a result value). Derive The result values in the present embodiment relate to the behavior of the head 53, and more specifically, are the face angle FA and the trajectory angle PATH immediately before the impact.

  At the time of execution of step S8, the amount of deformation of each element of the test club and the like at each time in the test swing are derived by the steps so far. Therefore, based on this information, the simulation unit 14b derives the behavior of the element closest to the head 53 on the shaft 52 (hereinafter referred to as the final element) at each time in the test swing. Then, from the behavior of the final element and the data of the shape of the head 53 of the test club, the positions of various notable points (including the center of gravity of the head 53) of the head 53 at each time in the test swing are calculated. The data of the shape of the head 53 of the test club is acquired, for example, from the club specification database 80. Then, the simulation unit 14 b derives the behavior of the head 53 as described above based on the positions of various attention points of the time-series head 53.

  In the following step S9, the simulation unit 14b determines whether the behavior of the head 53 derived in step S8 is appropriate. In the present embodiment, it is determined whether the absolute value of the difference between the face angle FA and the trajectory angle PATH is equal to or greater than a threshold. Since the fact that the magnitude of this difference is large means that the side spin is large, it is important to fit the golf club 5 that can suppress the magnitude of this difference to the golfer 7. Therefore, when | FA−PATH | ≧ threshold, the process proceeds to step S10. On the other hand, if | FA−PATH | <threshold, the process proceeds to step S13, and an analysis result is output.

  In step S10 and the subsequent step S11, the simulation unit 14b swings the golf club 5 having the weights W1 and W2 in such arrangement patterns with respect to various arrangement patterns of the weights W1 and W2 different from the test club. Simulate a swing (hereinafter sometimes referred to as a virtual swing) when assuming that In this embodiment, simulation of the virtual swing is performed on the premise that the swing by the same golf player 7 is substantially constant regardless of the arrangement pattern of the golf club 5 to be swung. That is, the simulation of the virtual swing is based on the analysis result of the behavior of the golf club 5 in the test swing so far on the premise that the various behaviors of the golf club 5 in the virtual swing match those of the test swing. It will be.

  Specifically, in step S10, the simulation unit 14b analyzes the deformation of the golf club 5 during the virtual swing (hereinafter, also referred to as virtual deformation). The analysis here is performed in the same manner as step S7. That is, in addition to the behavior (attitude, acceleration, angular velocity and each acceleration) of the grip 51 derived in steps S4 and S5, the strength (spring constant) of the gripping force determined in step S6 is used as the analysis model in step S7. substitute. The simulation unit 14b also inputs specification information of the golf club 5 (hereinafter, sometimes referred to as a virtual club) used for the virtual swing into the analysis model of the deformation of the shaft 52 described above. Thereby, the deformation amount of each element of the grip 51 and the shaft 52 in the virtual swing is calculated. That is, a virtual deformation is identified.

  The virtual club of this embodiment is the same as the test club of step S1 except for the arrangement pattern of the weights W1 and W2. More specifically, the model numbers of parts such as the head 53, the shaft 52, and the grip 51 are common to both clubs, but the arrangement pattern of the weights W1 and W2 in the head 53 is different. Further, in this embodiment, although the arrangement pattern of the weights W1 and W2 is changed between the two clubs, the weight of the head 53 is the same. For example, in the test club, if (W1, W2) = (7 g, 7 g), (W1, W2) = (3 g, 11 g), (4 g, 10 g), (5 g, 9 g), (6 g, 8 g), Eight virtual clubs of (11 g, 3 g), (10 g, 4 g), (9 g, 5 g) and (8 g, 6 g) are set.

  The specification information of the virtual club input to the analysis model in step S10 is also acquired by referring to the club specification database 80 as in step S7. The simulation unit 14 b specifies one or more arrangement patterns in which the weight of the test club and the head 53 are the same, based on the arrangement pattern of the test club input by the user. Then, by searching the club specification database 80 using the specified arrangement pattern and other information input by the user as keys, specification information of the virtual club input to the analysis model is acquired. Virtual deformation is simulated for each virtual club.

  In the following step S11, on the basis of the analysis result of the deformation of the virtual swing in step S10, the simulation unit 14b derives, for each virtual swing, a result value generated as a result of the virtual swing in the same manner as step S8. That is, the face angle FA and the orbit angle PATH just before the impact are derived.

  In the subsequent step S12, the arrangement determining unit 14c determines a recommended pattern which is an arrangement pattern suitable for the golfer 7 based on the result value of the virtual swing derived in step S11. Specifically, among the arrangement patterns of virtual clubs, an arrangement pattern in which the absolute value of the difference between the face angle FA and the trajectory angle PATH is smaller than that at the test swing time is specified, and this is set as a recommended pattern. When there are a plurality of arrangement patterns, for example, the smallest one can be selected.

  In the subsequent step S13, the display control unit 14d displays the above analysis result on the display unit 11. In addition, the aspect of the output of an analysis result can also be performed by audio | voice output etc. not only in a display. When step S13 is executed after steps S10 to S12, the analysis result mentioned here includes a recommended pattern. In addition, the value of | FA-PATH | in the arrangement pattern of the test club and the value of | FA-PATH | in the recommended pattern can also be displayed as reference information. Thereby, the user can better understand what kind of change can be obtained by changing the arrangement pattern of the weights W1 and W2. Further, not only the recommended pattern but also the value of | FA-PATH | in all the layout patterns subjected to the simulation can be displayed as reference information.

  On the other hand, when step S13 is executed without passing through steps S10 to S12, information or the like indicating that the arrangement pattern in the test club becomes the recommended pattern is displayed as the analysis result. Further, the value of | FA-PATH | in the arrangement pattern of the test club can also be displayed as reference information.

<4. Modified example>
As mentioned above, although one Embodiment of this invention was described, this invention is not limited to the said embodiment, A various change is possible unless it deviates from the meaning. For example, the following modifications are possible. Moreover, the gist of the following modifications can be combined as appropriate.

<4-1>
In the above embodiment, the behavior of the golf club is analyzed, but the above-described algorithm can be applied to analysis of other sports hitters such as tennis rackets, baseball bats, etc. It can also be applied to the analysis of a hitting tool.

<4-2>
In the above embodiment, determination of a recommended pattern is performed by the arrangement determination unit 14c, but the user may perform this process. In this case, for example, the behavior (face angle FA and trajectory angle PATH) of the head 53 during the test swing and during the virtual swing derived in the steps S8 and S11 is associated with the arrangement pattern of the test club and the virtual club. Output at S13. Then, in response to this, the user calculates the value of | FA-PATH | for each arrangement pattern, specifies the arrangement pattern of the virtual club where the value is smaller than that of the test club, do it.

<4-3>
The test club may be a type of club to which no weight can be attached.

<4-4>
In the above embodiment, the virtual club has the same weight as the test club, but the virtual club may be defined in an arrangement pattern different in weight from the test club. However, when the weights of the two clubs match, the swing by the golfer 7 is stable, and the test swing and the virtual swing easily match. Therefore, it is preferable that a golf club having a weight that falls within the same or a predetermined error range as the weight of the test club is selected as the virtual club.

<4-5>
The placement location of the weight is not limited to the head, and instead of or in addition to the head, the weight may be placed at a location other than the head in the golf club. For example, the weight can be arranged in the grip. In this case, by simulating the virtual swing in the arrangement pattern in which the weight is arranged in the grip, the weight of the weight to be arranged in the grip can be determined based on the simulation result. If the weight placed in the grip is heavy, a golf club of counter balance (center of gravity at hand) is configured, and in the opposite case, a golf club of center of gravity at hand is constructed. By determining the recommended pattern of weights in the head and grip, it is possible to adjust the weight and balance of the entire golf club.

  Further, the mounting mechanism of the weight to the head is not particularly limited, at least when the weight is mounted to the head. For example, instead of being detachable as described in the above embodiment, it may be sliding as shown in FIG. In the example of FIG. 13, the slide groove 71 (weight port WP3) extending in the toe-heel direction is formed in the sole 53a of the head 53, and the slide rail 72 similarly extending in the toe-heel direction is disposed in the slide groove 71. It is done. The weight W3 is configured to move in the slide groove 71 along the slide rail 72 in the toe-heel direction. The weight W3 can be fixed at various positions continuously or stepwise along the slide rail 72 via, for example, a screw 73 and a nut member (not shown). Such a sliding weight mounting mechanism can also be formed on a portion other than the sole 53a, for example, a crown. Further, the slide groove 71 and the slide rail 72 may be formed to extend in any direction, for example, the vertical direction or the face-back direction, not limited to the toe-heel direction.

  When the golf club 5 having the continuous arrangement pattern as described above is used, the specification information for each arrangement pattern is not stored in advance in the club specification database 80, but for the test club and the virtual club. The specification information such as the position of the center of gravity and the moment of inertia may be calculated each time based on the selected arrangement pattern. Of course, the same can be said for the golf club 5 having a discontinuous arrangement pattern as in the above embodiment.

  Also, for example, the head can be of a type that can be selectively fitted with either a measuring device such as the inertial sensor described above or a weight. In this case, the measuring device is attached to the head during the test swing, and measurement data is acquired by the measuring device. Then, after a recommended pattern is determined by simulation of a virtual swing, a golf club suitable for a golfer can be configured by replacing the measuring device with weights according to the recommended pattern.

<4-6>
In the above embodiment, in steps S8 and S11, the face angle FA and the trajectory angle PATH are calculated as indices serving as a reference for performing the fitting. However, this index is an example, and fitting can be performed based on various other indexes. For example, the head speed HS immediately before the impact may be calculated as a result value based on the analysis result of the deformation of the shaft. In this case, for example, an arrangement pattern in which the head velocity HS is increased can be determined and used as a recommended pattern.

<4-7>
The configuration of the measuring device 2 is not limited to the one described above. For example, the distance image sensor may be omitted, or the inertial sensor unit may be omitted. Also, a plurality of distance image sensors can be arranged in a plurality of directions. Further, as the measuring device 2, a high-definition three-dimensional imaging system provided with a large number of cameras arranged at various positions can also be used.

<4-8>
In the above embodiment, the measurement data for calculating the rotation center C is waggle data, but it is not limited to this. For example, make the golfer 7 grip the golf club 5 and swing the golf club while conscious of giving only the rotational movement without giving the translational movement, and using the measurement data obtained at this time for the calculation of the rotation center C. You can also.

<4-9>
In the above embodiment, the measurement data for analyzing the gripping state of the golfer 7 has been the time-series data of the angular velocity omega _z output from the inertial sensor unit, the angular velocity omega _x, omega _y and accelerations a _x, a It is also possible to use time-series data such as _{y 1} , a _z , geomagnetism m _x , m _y , m _{z and} so on. Further, not only the measurement data by the inertial sensor unit, for example, acquires the time-series data such as an angular velocity omega _z from time-series images captured by a camera, a holding state may be analyzed based on this.

<4-10>
In the above embodiment, the magnitude D of the predetermined frequency component is specified by integrating the frequency spectrum in the 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 above embodiment, the magnitude D of the predetermined frequency component is specified by passing the measurement data through a band pass filter. However, after the frequency analysis of the measurement data without passing through the band pass filter, the magnitude D of the predetermined frequency component may be specified from the result. Further, in the above embodiment, the magnitude D of the predetermined frequency component is specified by performing frequency analysis. However, after passing the measurement data through a band pass filter that passes a predetermined frequency component of interest or a component other than the predetermined frequency component, this is compared with the wave of the original measurement data, and the original wave and band pass The degree of change of the wave after passing through the filter may be set to the magnitude D of the predetermined frequency component.

<4-11>
In step S3 of the above embodiment, the data of the accelerations a _x , a _y and a _z are corrected, but of course, instead of or in addition to this, the data of the angular velocities ω _x , ω _y and ω _z are corrected You can also.

<4-12>
In the above embodiment, the strength of the gripping force is expressed in two stages of strong and weak, but it may be determined in three or more stages or may be determined numerically.

1 Fitting Device 14a Acquisition Unit 14b Simulation Unit 14c Placement Determination Unit 14d Determination Unit 4 Inertial Sensor Unit (Measurement Device)
5 Golf club (at bat)
51 grip 52 shaft 53 head 6 fitting program 7 golfer (player)
W1, W2 weights

Claims (11)

What is claimed is: 1. A fitting apparatus used to determine a recommended pattern, which is the placement pattern suitable for a player, for a strike tool capable of placing one or more weights in a plurality of placement patterns,
An acquisition unit for acquiring measurement data obtained by measuring the movement of the hitter during the test swing by the player;
And a simulation unit that simulates the behavior of the tool in a virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data.
Fitting device. And a placement determining unit configured to determine the recommended pattern based on the behavior of the tool in the virtual swing.
The fitting device according to claim 1. The simulation unit analyzes the deformation of the tool in the virtual swing in the specific arrangement pattern based on the measurement data, and based on the analysis of the deformation, the simulation in the specific arrangement pattern Simulate the behavior of the tool during the virtual swing;
The fitting device according to claim 1 or 2. The simulation unit simulates the behavior of the tool in the virtual swing in the specific arrangement pattern, based on specification data of the tool in the specific arrangement pattern, in addition to the measurement data.
The fitting device according to any one of claims 1 to 3. The simulation unit simulates the behavior of the tool in the test swing based on the measurement data, and the virtual swing in the specific arrangement pattern based on the behavior of the tool in the test swing. Simulate the behavior of the tool in the
The fitting device according to any one of claims 1 to 4. The specific arrangement pattern is different from the arrangement pattern of the strike tool used for the test swing,
The fitting device according to any one of claims 1 to 5. The hitting tool is a golf club.
The fitting device according to any one of claims 1 to 6. The strike tool is a golf club having a head on which the one or more weights can be arranged in the plurality of arrangement patterns.
The fitting device according to claim 7. The striker in the particular arrangement pattern has the same weight as the striker used in the test swing,
The fitting device according to any one of claims 1 to 8. What is claimed is: 1. A fitting program used to determine a recommended pattern, which is the placement pattern suitable for the player, for a strike tool capable of placing one or more weights in a plurality of placement patterns,
Obtaining measurement data obtained by measuring the movement of the hitter during the test swing by the player;
Simulating a behavior of the tool in a virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data.
Fitting program. What is claimed is: 1. A fitting method for determining a recommended pattern, which is the placement pattern suitable for a player, for a strike tool capable of placing one or more weights in a plurality of placement patterns,
Obtaining measurement data obtained by measuring the movement of the hitter during the test swing by the player;
Simulating the behavior of the tool in a virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data;
Determining the recommended pattern based on the behavior of the striking tool in the virtual swing.
Fitting method.