JP6984326B2 - Hitting tool fitting device - Google Patents

Description

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

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

Special Publication No. 2014-524343 Japanese Unexamined Patent Publication No. 2016-01579

However, when using the above golf club head, the golfer does not know how to arrange the weight and is at a loss. Therefore, it is necessary to actually try hitting while changing the weight arrangement pattern in various ways and select an arrangement pattern that is felt to be appropriate. It should be noted that the same problem may occur not only for golf clubs but also for hitting tools on which weights can be arranged.

An object of the present invention is to make it possible to easily determine an arrangement pattern suitable for a player for a hitting tool in which one or a plurality of weights can be arranged 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 arrangement pattern suitable for the player, for a hitting tool capable of arranging one or a plurality of weights in a plurality of arrangement patterns. Then, for the acquisition unit that acquires the measurement data that measures the movement of the hitting tool during the test swing by the player, and for at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data. , A simulation unit that simulates the behavior of the hitting tool during a virtual swing is provided.

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

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

The fitting device according to the fourth viewpoint is a fitting device according to any one of the first to third viewpoints, and 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 hitting tool during the virtual swing in the specific arrangement pattern is simulated.

The fitting device according to the fifth viewpoint is a fitting device according to any one of the first to fourth viewpoints, and the simulation unit determines the behavior of the hitting tool during the test swing based on the measurement data. A simulation is performed, and the behavior of the hitting tool during the virtual swing in the specific arrangement pattern is simulated based on the behavior of the hitting tool during the test swing.

The fitting device according to the sixth aspect is the fitting device according to any one of the first aspect to the fifth aspect, and the specific arrangement pattern is different from the arrangement pattern in the hitting tool used for the test swing. different.

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

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

The fitting device according to the ninth aspect is the fitting device according to any one of the first aspect to the eighth aspect, and the hitting tool in the specific arrangement pattern is the hitting tool used for the test swing. Same weight.

The fitting program according to the tenth aspect is a fitting program used to determine a recommended pattern, which is the arrangement pattern suitable for the player, for a hitting tool capable of arranging one or a plurality of weights in a plurality of arrangement patterns. Then let the computer perform the following steps.
(1) A step of acquiring measurement data that measures the movement of the hitting tool during a test swing by the player.
(2) A step of simulating the behavior of the hitting tool during a virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data.

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

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

The figure which shows the whole structure of the fitting system including the fitting apparatus which concerns on one Embodiment of this invention. Functional block diagram of the fitting system. A perspective view of a golf club. A perspective view of the head as seen from the sole side. (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. The flowchart which shows the flow of the fitting method which concerns on one Embodiment of this invention. Graph of the locus of the grip end based on the sensor data before and after the correction. 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. 9A. The graph of the frequency spectrum of the angular velocity of FIG. 9B. 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 is intentionally weakly grasped and swung by the same golfer as in FIG. 11A. A diagram modeling a golf club according to the finite element method. The perspective view of the head seen from the sole side which concerns on 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. Overview of fitting system>
1 and 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 suitable for the golfer 7 (hereinafter, may be referred to as a recommended pattern) for a golf club 5 having a head 53 capable of arranging a plurality of weights W1 and W2 in a plurality of arrangement patterns. It is a system to support. The fitting device 1 simulates the behavior of the golf club 5 during the virtual swing with respect to various arrangement patterns of the weights W1 and W2 based on the measurement data obtained by measuring the movement of the golf club 5 during the test swing by the golfer 7. Then, the recommended pattern is determined based on the result of the above simulation. 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, the configurations of the golf club 5, the measuring device 2, and the fitting device 1 will be described, and then the fitting method by the fitting system 100 will be described.

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

FIG. 4 is a perspective view of the head 53 as viewed from the sole 53a side forming the bottom surface of the head 53. Weight ports WP1 and WP2 are formed on 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 can be a utility type, an iron type, a putter type, or the like.

FIG. 4 shows an exploded view of the 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 on the outer surface of the head 53, and the socket 60 is housed in the recess. The socket 60 has a main body portion 60a and a bottom surface portion 60b, and is fixed to the weight port W1 using an adhesive. The main body 60a has a cylindrical shape, and a through hole 64 is formed in the center. Then, 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 in the opposite direction, 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 removable 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 a wide variety of weights of 3g, 4g, 5g, 6g, 7g, 8g, 9g, 10g and 11g. 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 variations of the weight of the weight W1 × the number of variations of the weight of the weight W2.

As shown in FIG. 4, the weight ports WP1 and WP2 are arranged at intervals in the toe-heel direction. The weight port WP1 is arranged closer to the toe side than the position of the center of gravity in a state where neither the weights W1 nor W2 is attached to the head 53 (sometimes referred to as a non-attached state). On the other hand, the weight port WP2 is arranged on the heel side of the position of the center of gravity in the unmounted state. Therefore, by making the weight W1 mounted on the weight port WP1 heavier, the position of the center of gravity of the head 53 can be moved to the toe side. On the contrary, by making the weight W2 mounted on the weight port WP2 heavier, the position of the center of gravity of the head 53 can be moved to the heel side.

The various configurations related to the weight, such as the number of weights, the variation of the weight, and the mounting mechanism described above, are examples, and the specifications such as the weight, the position of the center of gravity, and the moment of inertia of the head 53 should be arbitrarily configured as much as possible. Can be done. For example, the number of weight ports, and thus the number of weights that can be simultaneously attached to the head 53, may be one or three or more. Further, the number of variations in the mass of the weight that can be attached to one weight port may be one type. Further, the variations of the weights of the weights W1 and W2 may be different from each other. Further, the weight mounting mechanism can be a screw type. Further, the mounting location of the weight is not limited to the sole 53a, and may be, for example, a crown constituting the upper surface of the head 53. Further, the weight can be arranged on both the sole 53a and the crown, and in this case, the position of the center of gravity in the vertical direction of the head 53 can be adjusted. Similarly, if the weights can be arranged at intervals in the face-back direction on at least one of the sole 53a and the crown, the position of the center of gravity of the head 53 in the face-back direction can be adjusted.

<2-2. Measuring equipment ＞
The measuring device 2 according to the present embodiment includes an inertial sensor unit 4 and a distance image sensor 21. Hereinafter, they will be described in order.

<2-2-1. Inertia sensor unit>
As shown in FIG. 1, the inertial sensor unit 4 is attached to the grip end 51a, which is an end of the grip 51 of the golf club 5 opposite to the head 53, and measures the motion of the grip end 51a. The inertial sensor unit 4 is compact and lightweight so as not to interfere with the swing operation.

As shown in FIG. 2, the inertial sensor unit 4 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 4 is also equipped with a communication device 40 for transmitting sensor data output from these 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 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 each measure acceleration, angular velocity, and geomagnetism in the xyz local coordinate system with the grip end 51a as the origin. 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. Geomagnetic sensor 43 measures the x-axis at the handle end 51a, y-axis and z-axis direction terrestrial magnetism m _x, m _y, a m _z. The sensor data (measurement data) relating 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.

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. 5 (A), and the top means a takeback of the golf club 5 from the address as shown in FIG. 5 (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. 5 (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. 5 (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 operation is a movement of swinging the golf club 5 from side to side as if the golfer 7 rotates the head 53 around the position where the grip 51 is gripped by the hand 75 in order to determine the position of the address. See FIG. 6). In the description of this embodiment, unless otherwise specified, the golf swing includes a waggle motion.

In the present embodiment, the 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 swing operation is completed and passed 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 taking a picture of a golfer 7 trying to hit a golf club 5 as a two-dimensional image and measuring the distance to a subject. Therefore, the distance image sensor 21 can output a time-series depth image together with a time-series 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, the distance image sensor 21 is installed in front of the golfer 7 in order to photograph 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 infrared rays or a dot pattern projection method. Therefore, as shown in FIG. 2, the distance image sensor 21 has an IR light emitting unit 21a that emits infrared rays toward the front and an IR that receives infrared rays that are emitted from the IR light emitting unit 21a and reflected on the subject and returned. It has a light receiving unit 21b. The IR light receiving unit 21b is a camera having an optical system, an image pickup 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 are arranged in front of the housing 21f.

In addition to the CPU 21c that controls the entire operation of the distance image sensor 21, the distance image sensor 21 has a built-in memory 21d that at least temporarily stores image data (measurement data) of captured IR images and depth images. .. The control program that controls the operation of the distance image sensor 21 is stored in the memory 21d. Further, the distance image sensor 21 also has a built-in communication unit 21e, and the communication unit 21e transfers the captured image data to an external device such as the fitting device 1 via the wired or wireless communication line 17. Can be output. In the present embodiment, the CPU 21c and the memory 21d are also housed in the housing 21f together with the IR light emitting unit 21a and the IR light receiving unit 21b. It should be noted that the transfer of image data to the fitting device 1 does not necessarily have to be performed via the communication unit 21e. For example, if the memory 21d is removable, the image data can be read out by the fitting device 1 by removing it from the housing 21f and inserting it into the reader of the fitting device 1 (corresponding to the communication unit 15 described later). Can be done.

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 FIGS. 1 and 3, a reflective sheet that efficiently reflects infrared rays is a marker on the grip end 51a so that the movement of the grip end 51a can be easily measured by the distance image sensor 21. It is pasted as. A similar infrared reflective sheet is also 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 on a general-purpose computer from a recording medium 30 such as a CD-ROM that can be read by a computer or via a communication line such as the Internet. To. The fitting program 6 is software for analyzing a golf swing 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 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 the bus line 16 and can communicate with each other. The display unit 11 can be configured with a liquid crystal display or the like, and displays a golf swing analysis result (including a recommended pattern in this embodiment) or the like to the user. The term "user" as used herein is a general term for golfers 7 themselves, their instructors, and other persons who require analysis results of golf swings. The input unit 12 can be composed of a mouse, a keyboard, a touch panel, or 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 club specification database 80 is stored in the storage unit 13. Details of the club specification database 80 will be described later. The control unit 14 can be composed of a CPU, a ROM, a RAM, and the like. The control unit 14 virtually operates as an acquisition unit 14a, a simulation unit 14b, an arrangement determination unit 14c, and a display control unit 14d by reading and executing the fitting program 6 in the storage unit 13. Details of the operation of each part 14a to 14d 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.

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

First, in step S1, the golfer 7 makes a test swing of the golf club 5 with the inertial sensor unit 4 described above. The movement of the golf club 5 during this test swing is measured by the measuring device 2. More specifically, the inertial sensor unit 4 allows the grip end 51a to have accelerometers 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 xyz local coordinate system. _{Sensor data (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, time-series sensor data is collected for at least the period of waggle operation and the subsequent period from the address to the finish.

Further, in step S1, at the same time as the measurement by the inertial sensor unit 4, the distance image sensor 21 acquires image data (measurement data) capturing the swing of the golf club 5 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 14a receives this via the communication unit 15 and stores it in the storage unit 13. In this embodiment, time-series image data is collected at least during the waggle operation period and the subsequent period from the address to the finish. 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 during the test swing based on the measurement data stored in the storage unit 23. In many cases, the golfer 7 swings the golf club 5 by grasping the vicinity of the end portion of the golf club 5, as shown in FIG. Therefore, conventionally, in the simulation model for analyzing the golf swing, it is assumed that the golf club 5 rotates about the grip end 51a. However, in reality, the center of rotation C in the golf club 5 is often not in the grip end 51a but in the vicinity of the gripping position exactly gripped by the golfer 7 in the golf club 5. Conventionally, the true center of rotation of such a golf club 5 has not been considered, but grasping this can contribute to a more accurate simulation. The gripping position on the grip 51 is peculiar to the golfer 7. Therefore, the center of rotation C can be assumed to be substantially constant between different golf swings by the same golfer 7, and is used as an analysis parameter representing the characteristics (hereinafter referred to as golfer characteristics) when the golfer 7 makes a golf swing. used.

Specifically, the simulation unit 14b extracts sensor data (hereinafter referred to as waggle data) at the time of waggle 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 during the test swing based on the waggle data. Hereinafter, an algorithm for calculating the rotation center C will be described with reference to FIG.

During a golf swing, the golfer 7 grips the grip 51 with his hand 75 to give the golf club 5 a motion including rotation. As shown in FIG. 6, 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. Then, 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 as h. 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, h z).} Further, h represents a relative position with respect to the grip end 51a which is the origin of the xyz local coordinate system, and h _z of the z component represents the distance from the grip end 51a to the rotation center C. At this time, the acceleration of the point at the coordinate h on the golf club 5 is expressed according to the following equation. _{However, a s = (a x,} a y, a z), a _{ω s = (ω x, ω} y, ω z), [G] is the coordinate transformation matrix to the inertial coordinate system xyz local 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 simulation unit 14b 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 of equation 2. It should be noted that h 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, h is calculated for the data set _{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 h such that this becomes 0.

A golf swing is composed of a complex combination of translational and rotational movements. 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 accurately derived. ..

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 this embodiment is the sensor data of _{the 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 rotation center C by a distance h _{z to the accelerations a x} , a _y , and a _z at the grip end 51a measured by the inertial sensor unit 4, the circumference of the rotation center C Contains rotating components. 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 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 the data of (a _x ', a _y ', a _z').

FIG. 8 is a graph of the locus of the grip end derived by the simulation actually performed by the present inventors. More specifically, after converting the time-series data of acceleration in the xyz local coordinate system to the value in the inertial coordinate system, the time-series data of the converted acceleration is integrated twice to grip during the golf swing. Time series data representing the position of the end was calculated. The graph of "before correction" in FIG. 8 is a graph of the locus of the grip end derived from the time series data of _{acceleration a s} and angular velocity ω _{s without correction in step S3, and is a graph of "after correction".} Is a graph of the locus of the grip end derived from the time-series data of the corrected acceleration a _{s'and the} angular velocity ω _{s in step S3.} 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.

In the following step S4, the simulation unit 14b calculates the posture of the grip 51 at each time during the test swing based on the measurement data corrected in step S3. The posture of the grip 51 can be represented by the orientation of the xyz local coordinate system in the inertial coordinate system fixed to the ground. Therefore, in the present embodiment, the posture matrix [S] for converting 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 posture 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 component of the angle formed by the third axis of the inertial coordinate system and the first axis of the xyz local coordinate system c4: The first axis of the inertial coordinate system and the second axis of the xyz local coordinate system Cosine component of the angle formed c5: Cosine component of the angle formed by 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 formed by c7: The cosine component of the angle formed by 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 third axis of the xyz local coordinate system Cosine of the angle formed by the three axes Component c9: Cosine of the angle formed by the third axis of the inertial coordinate system and the third axis of the xyz local coordinate system Here, the vectors (c1, c2, c3) are the xyz local coordinates. The unit vector in the first axis direction of the system is represented, the vector (c4, c5, c6) represents the unit vector in the second axis direction of the xyz local coordinate system, and the vector (c7, c8, c9) is the xyz local coordinate. It represents the unit vector in the third axis direction of the system.

In step S4, the attitude 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. Since various methods for deriving the posture matrix [S] representing the posture of the grip based on such sensor data are known, detailed description thereof will be omitted here, but if necessary, the same. The methods described in JP-A-2016-2429, JP-A-2016-2430, etc. by the applicants can be followed. It is also possible to derive the attitude matrix [S] using only the acceleration and angular velocity data among the sensor data without using the geomagnetic data, but since various such methods are known here, here. A detailed description will be omitted.

As described above, the posture matrix [S] can be calculated only from the sensor data, but in the present embodiment, in order to further improve the accuracy of the analysis, the posture matrix is also referred to with the image data acquired in step S1. [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, using both the sensor data and the image data, a predetermined objective function including the attitude matrix [S] is defined, and the attitude matrix [S] is derived as an optimum solution for minimizing or maximizing this. be able to. For example, the method described in JP-A-2017-119102 can be followed.

In the following step S5, the simulation unit 14b accelerates and angular velocity of the grip 51 (more accurately, the grip end 51a) in the xyz local coordinate system at each time during the test swing based on the measurement data corrected in step S3. And angular acceleration are derived. 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 corresponds to 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 of the grip 51 in the xyz local coordinate system 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 the sensor data, but in the present embodiment, the attitude matrix [ As in the case of [S], the optimum solution is derived with reference to the image data acquired in step S1. Here, 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 at 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 gripped with a flexible hand movement rather than being gripped as hard as a fixed end. Therefore, grasping such a flexible gripping condition can contribute to a more accurate simulation. The strength of the gripping force that determines this gripping condition is peculiar to the golfer 7. Therefore, the strength of the gripping force can be assumed to be substantially constant between different golf swings by the same golfer 7, and is used as an analysis parameter representing the golfer characteristics.

Hereinafter, an algorithm for determining the strength of the gripping force will be described. The present inventors conducted the experiments described below, and based on the time-series data showing the behavior of the hitting tool when the user uses the hitting tool, the strength of the gripping force at which the user grips 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 attached to the grip end, such as the golf club 5 described above, was used. FIG. 9A 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 with a strong grip (hereinafter referred to as a strong golfer). Further, FIG. 9B 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 can be determined by having a golfer grip a golf club with a pressure sensor attached to the grip and swinging it, and measuring the pressure value at this time. .. Zeros on the horizontal axis in FIGS. 9A and 9B represent the timing of impact.

The present inventors have accumulated a large amount of time-series data representing the movement of a golf club during a golf swing by a strong golfer and a weak golfer. It was discovered that a peculiar waveform appears accordingly. More specifically, as shown in FIG. 9A, the waveform representing the movement of a golf club swung by a strong golfer is relatively smooth, while the 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. 10A and 10B are graphs of frequency spectra obtained by frequency analysis after passing the time series data of FIGS. 9A and 9B through a bandpass filter (which extracts a band of 5 to 20 Hz), respectively. From the figure, a peak appears in the frequency spectrum of the weak golfer near 7 to 10 Hz, but such a peak does not appear in the frequency spectrum of the strong golfer.

From the above experiments, it was found that the magnitude of the frequency component included in the time-series data representing the movement of the golf club during the swing changes depending on 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 movement 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.

11A and 11B show the results when the same golfer intentionally changes the gripping force to perform a golf swing, and FIG. 11B shows the 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. 9A and 9B, 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 the 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.

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 applies a bandpass filter that allows only a predetermined frequency component to pass through the _{measurement data (sensor data of ω z in} the present embodiment) stored in the storage unit 23. The predetermined frequency component referred to here is a wave component in a predetermined frequency band in which a feature relating 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. It is a component of the wave in the band of 5 to 20 Hz that appears in. For reference, FIG. 9B shows the waveform after applying the bandpass filter that passes the frequency component of 5 to 20 Hz with a broken line.

Subsequently, the simulation unit 14b moves the golf club 5 (more accurately, the grip end 51a) during the backswing from the measurement data after passing through the bandpass filter ( _{sensor data of ω z in this embodiment).} Extract the time series data that represents. 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, 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. After extracting the sensor data at the time of backswing, it can be applied to the bandpass filter.

Subsequently, the simulation unit 14b frequency-analyzes 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. By passing through the bandpass filter, the integrated value here is a value representing the magnitude of the wave component in a predetermined frequency band passed by the bandpass filter.

Subsequently, the simulation unit 14b determines the strength of the gripping force of the golfer 7 according to the magnitude D of the predetermined frequency component. More specifically, since the predetermined frequency band referred to here includes 7 to 10 Hz in which the difference in gripping force tends to be noticeable, the magnitude D (integral value) accurately determines the strength of gripping force. Can be expressed in. Therefore, the magnitude D of the predetermined frequency component is compared with the predetermined threshold value, and if D is equal to or less than the predetermined threshold value, it is determined that the gripping force is strong, and if it is larger than the predetermined threshold value, it is determined that the gripping force is weak. do. It is assumed that the threshold value used here is predetermined through a large number of 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 deformation analysis model 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. 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 defined as a physical region, and the remaining region is defined as an elastic deformation region.

Further, in this analysis model, in order to express the flexible gripping conditions 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 condition is 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 that the golfer 7 grips the grip 51. 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 constant is at address (more specifically, the address to the top) x in, y and z-direction component ka _x, ka _y, ka _z and, upon impact of the x, y and z 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.

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

_{In step S7, the simulation unit 14b has spring constants ka x} , ka _y , ka _z , ki _x , ki _y , ki representing the gripping conditions of the grip 51 by the golfer 7, depending on the strength of the grip force in step S6. Determine _{z. In the present embodiment, the spring constants ka x} , ka _y , ka _z , ki _x , ki _y corresponding to a strong gripping force, that is, a harder gripping state and a weaker gripping force, that is, a more flexible gripping state. , Ki _z are predetermined, and appropriate spring constants ka _x , ka _y , ka _z , ki _x , ki _y , and ki _z are selected according to the result of step S6. Then, the simulation unit 14b _{inputs the spring constants ka x} , ka _y , ka _z , ki _x , ki _y , ki _z into the above-mentioned deformation analysis model of the shaft 52. Further, the simulation unit 14b sets the posture, acceleration, angular velocity, and angular acceleration of the grip 51 at each time during the test swing derived in steps S4 and S5 as parameters representing the behavior of the grip 51, and deforms the shaft 52 described above. Input to the analysis model of. Further, the simulation unit 14b also inputs the specification information of the golf club 5 swung in step S1 into the analysis model of the deformation of the shaft 52 described above. As a result, the amount of deformation 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 that identifies various types of parts of the golf club 5, including the shaft 52, the head 53, and the grip 51, of the parts of the type. Specification information is stored. The head 53 stores specification information regarding the weight, the position of the center of gravity, and the moment of inertia, and also stores specification information regarding the shape data of the head 53 (CAD data at the time of designing the head 53). Further, as described above, when the arrangement pattern of the weights W1 and W2 is changed, the specifications such as 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 component ID information for specifying the component of the golf club 5 (hereinafter, may be 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 in the input unit 12. Enter via. The simulation unit 14b acquires the specification information of the golf club 5 input to the analysis model by searching the club specification database 80 using these information input by the user as a key.

In the following step S8, the simulation unit 14b determines the predetermined behavior of the test club (hereinafter referred to as the result value) 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. Is derived. The result values in this embodiment relate to the behavior of the head 53, and more specifically, the face angle FA and the orbital angle PATH immediately before the impact.

At the time of executing step S8, the amount of deformation of each element of the test club at each time during the test swing is derived by the steps so far. Therefore, the simulation 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 test swing based on this information. Then, from the behavior of this final element and the data of the shape of the head 53 of the test club, 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 test swing are calculated. The shape data of the head 53 of the test club is obtained from, for example, the club specification database 80. Then, the simulation 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.

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 or not the absolute value of the difference between the face angle FA and the orbital angle PATH is equal to or greater than the threshold value. Since the large difference means that the side spin is large, it is important to fit the golf club 5 to the golfer 7 so as to suppress the large difference. Therefore, when | FA-PATH | ≧ threshold value, the process proceeds to step S10. On the other hand, when | FA-PATH | <threshold value, the process proceeds to step S13 and the analysis result is output.

In step S10 and subsequent steps S11, the simulation unit 14b swings the golf club 5 having the weights W1 and W2 in the various arrangement patterns of the weights W1 and W2 different from those of the test club. Simulate a swing (hereinafter sometimes referred to as a virtual swing) assuming that the swing has been made. In the present embodiment, the simulation of the virtual swing is performed on the premise that the swing by the same golfer 7 is substantially constant even if the arrangement pattern of the golf clubs 5 to be swung is different. That is, the simulation of the virtual swing is performed based on the analysis result of the behavior of the golf club 5 during the test swing so far on the premise that the various behaviors of the golf club 5 during the virtual swing match those at the time of the test swing. Will be played.

Specifically, in step S10, the simulation unit 14b analyzes the deformation of the golf club 5 during the virtual swing (hereinafter, may be referred to as virtual deformation). The analysis here is executed in the same manner as in 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 of the gripping force (spring constant) determined in step S6 is used as the analysis model in step S7. substitute. Further, the simulation unit 14b also inputs the specification information of the golf club 5 (hereinafter, may be referred to as a virtual club) used for the virtual swing into the above-mentioned deformation analysis model of the shaft 52. As a result, the amount of deformation of each element of the grip 51 and the shaft 52 during the virtual swing is calculated. That is, the virtual transformation is specified.

The virtual club of the present 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 the parts such as the head 53, the shaft 52, and the grip 51 are common to both clubs, but the arrangement patterns of the weights W1 and W2 in the head 53 are different. Further, in the present 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, if (W1, W2) = (7g, 7g) in a test club, then (W1, W2) = (3g, 11g), (4g, 10g), (5g, 9g), (6g, 8g) ,. Eight virtual clubs (11g, 3g), (10g, 4g), (9g, 5g) and (8g, 6g) are set.

The virtual club specification information 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 14b identifies one or a plurality of arrangement patterns in which the weights 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, the specification information of the virtual club input to the analysis model is acquired. The virtual transformation is simulated for each virtual club.

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

In the following step S12, the placement determination unit 14c determines a recommended pattern, which is a placement 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 the virtual club, 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 time of the test swing is specified, and that is used as the recommended pattern. When there are a plurality of arrangement patterns, for example, the smallest one can be selected.

In the following step S13, the display control unit 14d displays the above analysis result on the display unit 11. The mode of outputting the analysis result is not limited to the display, but may be output by voice or the like. When step S13 is executed through steps S10 to S12, the analysis result referred to here includes a recommended pattern. Further, 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 how to change the arrangement pattern of the weights W1 and W2 to obtain what kind of change. Further, not only the recommended pattern but also the value of | FA-PATH | in all the simulated arrangement patterns can be displayed as reference information.

On the other hand, when step S13 is executed without going through steps S10 to S12, information or the like indicating that the arrangement pattern in the test club is 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. 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 are possible. In addition, 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 algorithm can also be applied to the analysis of other sports hitting tools such as tennis rackets and baseball bats, and is used for non-sports applications. It can also be applied to the analysis of hitting tools.

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

<4-3>
The test club may be a type of club to which weights cannot 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 by an arrangement pattern in which the weight is different from that of the test club. However, when the weights of both clubs are the same, the swing by the golfer 7 is stable, and the test swing and the virtual swing are more likely to match. Therefore, it is preferable that a golf club having a weight equal to or within a predetermined error range of the weight of the test club is selected as the virtual club.

<4-5>
The place where the weight is arranged is not limited to the head, and the weight may be arranged in a place other than the head in the golf club in place of or in addition to the head. For example, weights can be placed on the grip. In this case, by simulating a virtual swing in an arrangement pattern in which weights are arranged on the grip, the weight of the weights to be arranged on the grip can be determined based on the simulation result. If the weight placed on the grip becomes heavier, a golf club with a counterbalance (center of gravity at hand) is formed, and in the opposite case, a golf club with a center of gravity at hand is formed. By determining the recommended pattern of weights for the head and grip, it is possible to adjust the weight and balance of the entire golf club.

Further, at least when the weight is attached to the head, the mechanism for attaching the weight to the head is not particularly limited. For example, it may be a slide type as shown in FIG. 13 instead of the detachable type as described in the above embodiment. In the example of FIG. 13, a slide groove 71 (weight port WP3) extending in the toe-heel direction is formed in the sole 53a of the head 53, and a slide rail 72 also extending in the toe-heel direction is arranged in the slide groove 71. Has been done. The weight W3 is configured to be able to move in the toe-heel direction in the slide groove 71 along the slide rail 72. The weight W3 can be fixed at various positions continuously or stepwise along the slide rail 72, for example, via 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, on the crown. Further, it is also possible to form the slide groove 71 and the slide rail 72 extending in any direction, for example, in 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. Then, 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.

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

<4-6>
In the above embodiment, in steps S8 and S11, the face angle FA and the orbital angle PATH were calculated as reference indexes for fitting. However, this indicator is an example and fitting can be done on the basis of various other indicators. 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 speed HS becomes large can be determined and used as a recommended pattern.

<4-7>
The configuration of the measuring device 2 is not limited to that described above. For example, the distance image sensor can be omitted, or the inertial sensor unit can be omitted. It is also possible to arrange a plurality of distance image sensors in a plurality of directions. Further, as the measuring device 2, a high-definition three-dimensional photographing system including 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 the measurement 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 motion without giving the translational motion, and the measurement data acquired at this time is used 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 is the time series data of the _{angular velocity ω z output from the inertial sensor unit, but the angular velocities ω x} , ω _y and the acceleration a _x , a. _y, it a _z, geomagnetic m _x, m _y, also possible to use time-series data such as m _z. Further, not limited to the measurement data by the inertial sensor unit, for example, _{time-series data such as an angular velocity ω z} may be acquired from a time-series image taken by a camera, and the gripping state may be analyzed based on the time-series data.

<4-10>
In the above embodiment, the magnitude D of a predetermined frequency component is specified 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 above embodiment, the magnitude D of a predetermined frequency component is specified by passing the measurement data through a bandpass filter. However, after frequency analysis of the measurement data without passing it through a bandpass filter, the magnitude D of a predetermined frequency component may be specified from the result. Further, in the above embodiment, the magnitude D of the predetermined frequency component has been identified by performing frequency analysis. However, after passing the measurement 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 measurement data, and the original wave and the bandpass are compared. The degree of change of the wave after passing through the filter can also be set to the magnitude D of a 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 , 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 or weak, but it can be determined in three or more stages, or it can be determined numerically.

1 Fitting device 14a Acquisition unit 14b Simulation unit 14c Arrangement determination unit 14d Judgment unit 4 Inertia sensor unit (measuring equipment)
5 Golf club (hit)
51 Grip 52 Shaft 53 Head 6 Fitting Program 7 Golfer (Player)
W1, W2 weight

Claims (10)

A fitting device used to determine a recommended pattern, which is the arrangement pattern suitable for the player, for a hitting tool capable of arranging one or a plurality of weights in a plurality of arrangement patterns.
An acquisition unit that acquires measurement data that measures the movement of the hitting tool during a test swing by the player, and an acquisition unit.
Based on the measurement data, a simulation unit that simulates the behavior of the hitting tool during a virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns .
An arrangement determination unit that determines the recommended pattern based on the behavior of the hitting tool during the virtual swing, and
Equipped with
The recommended pattern is an arrangement pattern in which the hitting tool behaves so as to suppress the side spin of the ball colliding with the hitting tool during the virtual swing, or just before the hitting tool and the ball collide with each other. This is an arrangement pattern in which the speed of the portion where the hitting tool collides with the ball increases.
Fitting device. The simulation unit analyzes the deformation of the hitting tool during the virtual swing in the specific arrangement pattern based on the measurement data, and based on the result of the analysis of the deformation, in the specific arrangement pattern. Simulate the behavior of the hitting tool during the virtual swing,
The fitting device according to claim 1. In addition to the measurement data, the simulation unit simulates the behavior of the hitting tool during the virtual swing in the specific placement pattern based on the specification information of the hitting tool in the specific placement pattern.
The fitting device according to claim 1 or 2. The simulation unit simulates the behavior of the hitting tool during the test swing based on the measurement data, and based on the behavior of the hitting tool during the test swing, the virtual swing in the specific arrangement pattern. Simulate the behavior of the hitting tool inside,
The fitting device according to any one of claims 1 to 3. The particular placement pattern is different from the placement pattern in the hitting tool used for the test swing.
The fitting device according to any one of claims 1 to 4. The hitting tool is a golf club.
The fitting device according to any one of claims 1 to 5. The hitting tool is a golf club having a head capable of arranging the one or a plurality of weights in the plurality of arrangement patterns.
The fitting device according to claim 6. The hitting tool in the particular arrangement pattern has the same weight as the hitting tool used for the test swing.
The fitting device according to any one of claims 1 to 7. A fitting program used to determine a recommended pattern, which is the arrangement pattern suitable for the player, for a hitting tool capable of arranging one or a plurality of weights in a plurality of arrangement patterns.
A step of acquiring measurement data that measures the movement of the hitting tool during a test swing by the player, and
A step of simulating the behavior of the hitting tool during a virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data .
A computer is made to perform a step and a step of determining the recommended pattern based on the behavior of the hitting tool during the virtual swing .
The recommended pattern is an arrangement pattern in which the hitting tool behaves so as to suppress the side spin of the ball colliding with the hitting tool during the virtual swing, or just before the hitting tool and the ball collide with each other. This is an arrangement pattern in which the speed of the portion where the hitting tool collides with the ball increases.
Fitting program. It is a fitting method for determining a recommended pattern, which is the arrangement pattern suitable for the player, for a hitting tool capable of arranging one or a plurality of weights in a plurality of arrangement patterns.
A step of acquiring measurement data that measures the movement of the hitting tool during a test swing by the player, and
A step of simulating the behavior of the hitting tool during a virtual swing with respect to at least one specific arrangement pattern included in the plurality of arrangement patterns based on the measurement data.
On the basis of the behavior of the punching tool in the virtual swing saw including a step of determining the recommended pattern,
The recommended pattern is an arrangement pattern in which the hitting tool behaves so as to suppress the side spin of the ball colliding with the hitting tool during the virtual swing, or just before the hitting tool and the ball collide with each other. This is an arrangement pattern in which the speed of the portion where the hitting tool collides with the ball increases.
Fitting method.

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