JP6904093B2 - Analytical device for gripping state of hitting tool - Google Patents

Description

The present invention relates to an analyzer, a method, and a program for analyzing a gripping state of a hitting tool when a user uses a hitting tool such as a golf club.

Hitting tools are used in various sports such as golf, tennis, and baseball. In such sports, the gripping force on which the player grips the hitting tool can affect play. Therefore, it may be important to grasp the gripping state of the hitting tool in the scene of analyzing the movement of the player for various purposes such as product development of the hitting tool, fitting of the hitting tool, and practice of playing. In this regard, Patent Documents 1 and 2 disclose that a pressure sensor is attached to a grip portion of a golf club to measure the pressure when the player grips the grip portion.

Japanese Unexamined Patent Publication No. 2005-29061 Japanese Unexamined Patent Publication No. 2011-122972

However, pressure sensors such as those in Patent Documents 1 and 2 sometimes lack versatility. Therefore, in addition to directly measuring the pressure when the player grips the grip portion, a technique for analyzing the gripping state of the hitting tool is required.

The present invention provides an analysis device for a gripping state of a hitting tool, which can analyze a gripping state in which the user grips the hitting tool without directly measuring the pressure when the user grips the hitting tool. The purpose is to do.

The analysis device according to the first aspect of the present invention is an device that analyzes the gripping state of the hitting tool, and acquires time-series data representing the movement of the hitting tool when the user uses the hitting tool. The unit includes a unit and a determination unit that determines the strength of the gripping force by which the user grips the hitting tool based on the time series data.

The analysis device according to the second aspect of the present invention is the analysis device according to the first aspect, and the determination unit determines the strength of the gripping force based on the waveform of the time series data.

The analysis device according to the third aspect of the present invention is the analysis device according to the second aspect, and the determination unit specifies the size of a predetermined frequency component included in the time series data, and the predetermined frequency. The strength of the gripping force is determined according to the size of the component.

The analysis device according to the fourth aspect of the present invention is the analysis device according to the third aspect, and the determination unit performs frequency analysis of the time series data and specifies the magnitude of the predetermined frequency component.

The analysis device according to the fifth aspect of the present invention is an analysis device according to the third aspect or the fourth aspect, and the determination unit applies a bandpass filter to the time series data to obtain the predetermined frequency component. Specify the size.

The analysis device according to the sixth aspect of the present invention is an analysis device according to any one of the first to fifth aspects, and the hitting tool is a golf club.

The analysis device according to the seventh aspect of the present invention is an analysis device according to any one of the first to sixth aspects, and the determination unit determines the gripping force based on the time series data at the time of backswing. Judge the strength of.

The analysis device according to the eighth aspect of the present invention is an analysis device according to any one of the first to seventh aspects, and the acquisition unit is an acceleration sensor attached to the hitting tool as the time-series data. , Acquires data output from at least one sensor, an angular velocity sensor and a geomagnetic sensor.

The analysis device according to the ninth aspect of the present invention is an analysis device according to any one of the first to eighth aspects, and the at least one sensor is attached to the grip portion of the hitting tool.

The analysis program according to the tenth aspect of the present invention is an analysis program that analyzes the gripping state of the striking tool, and causes a computer to perform the following steps.
-A step of acquiring time-series data representing the movement of the hitting tool when the user uses the hitting tool, and
-Step of determining the strength of the gripping force at which the user grips the hitting tool based on the time series data.

The analysis method according to the eleventh aspect of the present invention is an analysis method for analyzing a gripping state of a hitting tool, and includes the following steps.
-A step of acquiring time-series data representing the movement of the hitting tool when the user uses the hitting tool, and
-Step of determining the strength of the gripping force at which the user grips the hitting tool based on the time series data.

According to the present invention, the strength of the gripping force at which the user grips the hitting tool is determined based on the time series data representing the movement of the hitting tool. Therefore, it is possible to analyze the gripping state in which the user grips the hitting tool without directly measuring the pressure when the user grips the hitting tool.

The figure which shows the swing analysis system which includes the analysis apparatus which concerns on one Embodiment of this invention. The functional block diagram of the swing analysis system of FIG. The figure explaining the xyz local coordinate system with respect to the grip of a golf club. (A) The figure which shows the address state. (B) The figure which shows the top state. (C) The figure which shows the impact state. (D) The figure which shows the finish state. A graph of time-series data of angular velocity during a golf swing by a golfer with a strong grip. A graph of time-series data of angular velocity during a golf swing by a golfer with a weak grip. The graph of the frequency spectrum of the time series data of FIG. 5A. The graph of the frequency spectrum of the time series data of FIG. 5B. A graph of the frequency spectrum of time-series data of angular velocity when a golfer intentionally holds a golf club strongly and swings it. The graph of the frequency spectrum of the time-series data of the angular velocity when the golf club is intentionally weakly grasped and swung by the same golfer as in FIG. 7A. A flowchart showing the flow of analysis processing.

Hereinafter, the analysis device, the method, and the program of the gripping state of the hitting tool according to the embodiment of the present invention will be described with reference to the drawings.

<1. Outline configuration of swing analysis system>
1 and 2 show the overall configuration of the swing analysis system 100 including the analysis device 2 according to the present embodiment. The swing analysis system 100 is a system for analyzing a golf swing by a golfer 7. The analysis device 2 is equipped with a function of analyzing the gripping state of the golf club 4 when the golfer 7 uses the golf club 4. More specifically, when the golfer 7 swings the golf club 4, the strength of the gripping force for gripping the golf club 4 is determined. The information on the strength of the gripping force can be used for various purposes, for example, for the development of golf equipment, the practice of golf, and the use for supporting the fitting of the golf club 4. The strength of the gripping force is determined based on the time-series data representing the movement of the golf club 4 during the golf swing measured by the measuring device 1. The analysis device 2 constitutes the swing analysis system 100 together with the measurement device 1.

Hereinafter, the configurations of the measuring device 1 and the analysis device 2 will be described, and then the flow of the analysis process will be described.

<1-1. Configuration of measuring device>
The measuring device 1 according to the present embodiment is an inertial sensor, and is attached to an end portion (hereinafter, referred to as a grip end) of the grip 42 of the golf club 4 opposite to the head 41 as shown in FIGS. 1 and 3. Therefore, the measuring device 1 can measure the behavior (movement) of the grip 42. The golf club 4 is a general golf club, and is composed of a shaft 40, a head 41 provided at one end of the shaft 40, and a grip 42 provided at the other end of the shaft 40. The measuring device 1 is compact and lightweight so as not to interfere with the swing operation.

As shown in FIG. 2, the measuring device 1 is equipped with an acceleration sensor 11 and an angular velocity sensor 12. Further, the measuring device 1 is also equipped with a communication device 10 for transmitting the sensor data output from the sensors 11 and 12 to the external analysis device 2. In the present embodiment, the communication device 10 is wireless so as not to interfere with the swing operation, but may be connected to the analysis device 2 by wire via a cable.

The acceleration sensor 11 and the angular velocity sensor 12 measure the acceleration and the angular velocity in the xyz local coordinate system, respectively. More specifically, the acceleration sensor 11 measures _{the accelerations a x} , a _y , a _z of the grip 42 in the x-axis, y-axis, and z-axis directions. The angular velocity sensor 12 measures _{the angular velocities ω x} , ω _y , ω _z of the grip 42 around the x-axis, y-axis, and z-axis. These sensor data are acquired as time-series data having a predetermined sampling period Δt. 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 40, and the direction from the head 41 to the grip 42 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 4, that is, substantially along the face-back direction, and the direction from the back side to the face side is the positive direction of the y-axis. .. The x-axis is oriented so as to be orthogonal to the y-axis and the z-axis, that is, substantially along the toe-heel direction, and the direction from the heel side to the toe side is the x-axis positive direction.

The swing motion of a golf club generally proceeds in the order of address, top, impact, and finish. The address means an initial state in which the head 41 of the golf club 4 is arranged near the ball as shown in FIG. 4 (A), and the top means the golf club 4 from the address as shown in FIG. 4 (B). This means the state in which the head 41 is swung up most. As shown in FIG. 4 (C), the impact means the state at the moment when the golf club 4 is swung down from the top and the head 41 collides with the ball, and the finish is as shown in FIG. 4 (D). It means a state in which the golf club 4 is swung forward after the impact.

In the present embodiment, the sensor data from the acceleration sensor 11 and the angular velocity sensor 12 are transmitted to the analysis device 2 in real time via the communication device 10. However, for example, the sensor data may be stored in the storage device in the measuring device 1, and the sensor data may be taken out from the storage device after the swing operation is completed and passed to the analysis device 2.

<1-2. Analysis device configuration>
The configuration of the analysis device 2 will be described with reference to FIG. The analyzer 2 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. The analysis device 2 is manufactured by installing the analysis program 3 on a general-purpose computer from a computer-readable recording medium 20 such as a CD-ROM or a USB memory, or via a network such as the Internet. The analysis program 3 is software for analyzing the golf swing based on the sensor data sent from the measuring device 1, and has a function of estimating the strength of the gripping force at which the golfer grips the grip 42. The analysis program 3 causes the analysis device 2 to execute an operation described later.

The analysis device 2 includes a display unit 21, an input unit 22, a storage unit 23, a control unit 24, and a communication unit 25. These units 21 to 25 are connected to each other via the bus line 26 and can communicate with each other. In the present embodiment, the display unit 21 is composed of a liquid crystal display or the like, and displays information described later to the user. The term "user" as used herein is a general term for golfers 7 themselves, their instructors, golf equipment sellers and developers, and other persons who require analysis results. Further, the input unit 22 can be composed of a mouse, a keyboard, a touch panel, etc., and receives an operation from the user on the analysis device 2.

The storage unit 23 is composed of a non-volatile storage device such as a hard disk or a flash memory. In addition to storing the analysis program 3, the sensor data sent from the measuring device 1 is stored in the storage unit 23. The communication unit 25 is a communication interface that enables communication between the analysis device 2 and the external device, and receives data from the measurement device 1.

The control unit 24 can be composed of a CPU, a ROM, a RAM, and the like. The control unit 24 virtually operates as the data acquisition unit 24A and the swing analysis unit 24B by reading and executing the analysis program 3 in the storage unit 23. Details of the operation of each part 24A and 24B will be described later.

<2. Analysis method>
Subsequently, the analysis process executed by the swing analysis system 100 will be described. In the analysis process, the golf swing by the golfer 7 is analyzed in various ways, and in the present embodiment, the trajectory of the golf club 4 during the golf swing is calculated, and the strength of the gripping force of the golfer 7 gripping the golf club 4 is high. It is judged. In the following, the algorithm for determining the strength of the gripping force will be described, and then the flow of the analysis process will be described in detail.

<2-1. Algorithm for determining the strength of gripping force>
The present inventors conducted the experiments described below, and based on the time-series data representing the movement 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 4 described above, was used. FIG. 5A shows an example of time-series data of _{the angular velocity ω z} output from the angular velocity sensor during a golf swing by a golfer having a strong gripping force (hereinafter referred to as a strong golfer). Further, FIG. 5B 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. 5A and 5B represent the timing of impact.

The present inventors are accumulating 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, and such swing data is based on the strength of the golfer's gripping force. It was discovered that a peculiar waveform appears. More specifically, as shown in FIG. 5A, the waveform of the movement of the golf club swung by the strong golfer is relatively smooth, while the similar waveform by the weak golfer is observed to have small peaks. It was. 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. 6A and 6B are graphs of frequency spectra obtained by frequency-analyzing the time-series data of FIGS. 5A and 5B after passing them 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 a weak golfer near 7 to 10 Hz, but such a peak does not appear in the frequency spectrum of a strong golfer.

From the above experiments, it was found that the magnitude of the frequency component included in the time-series data representing the movement of the golf club during the swing of the golfer changes according to the strength of the gripping force for gripping the golf club. Therefore, it is found that the strength of the gripping force can be determined by acquiring time-series data representing the movement of the golf club during the swing of the golfer and specifying the magnitude of the predetermined frequency component included in the time-series data. Obtained. 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.

Note that FIGS. 7A and 7B show the results when the same golfer intentionally changes the gripping force to perform a golf swing, and FIG. 7B shows a case where the same golfer intentionally strongly grips the golfer. Shows the case where is intentionally weakly gripped. In the case of this experiment as well, _{the frequency spectrum of the angular velocity ω z} when the gripping force is weak has a large peak around 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. 5A and 5B, high frequency components are mainly confirmed in the period from impact-2 seconds to impact-0.5 seconds. This period corresponds to the period of backswing from the address to the top. In other words, when swinging up the golf club like during a backswing, the golf club is moving relatively slowly compared to when swinging down the golf club after the top, so the gripping force of the golfer is small. It is thought that this is because the effect of is more pronounced. In addition, when the movement is fast, the gripping force tends to be large, so that the slow behavior is more likely to cause a difference between golfers. Therefore, it is considered that more accurate analysis is possible by paying attention to the data during the period when the movement of the hitting tool is relatively slow.

<2-2. Analysis process flow>
FIG. 8 is a flowchart showing the flow of analysis processing. First, in step S1, the data acquisition unit 24A acquires the sensor data output from the measuring device 1. More specifically, the golfer 7 swings the golf club 4 with the measuring device 1 described above. At this time, the measuring device 1 uses time-series data representing the movement of the golf club 4 during the swing, that is, time-series data of the grip end accelerations a _x , a _y , a _z and the angular velocities ω _x , ω _y , ω _z. Is detected. These sensor data are transmitted to the analysis device 2 via the communication device 10 of the measurement device 1. On the other hand, on the analysis device 2 side, the data acquisition unit 24A receives the data acquisition unit 24A via the communication unit 25 and stores it in the storage unit 23. In this embodiment, at least sensor data from the address to the finish is collected.

In the following step S2, the swing analysis unit 24B derives the _{address, top and impact times t a} , t _t , t _{i based on the sensor data stored in the storage unit 23.} Since the impact based on the time-series data such as an angular velocity, acceleration, time t _i of the top and address, t _t, as an algorithm for calculation of t _a, are known various ones, omitting detailed description here To do.

In the following step S3, the swing analysis unit 24B calculates the trajectory of the golf club 4 based on the sensor data stored in the storage unit 23. More specifically, the swing analysis unit 24B converts _{the time series data of the accelerations a x} , a _y , a _z and the angular velocities ω _x , ω _y , ω _{z in} the xyz local coordinate system into the acceleration in the XYZ global coordinate system. Convert to time series data of a _X , a _Y , a _Z and angular velocity ω _X , ω _Y , ω _Z. The XYZ overall coordinate system is a three-axis Cartesian coordinate system defined as shown in FIG. That is, the Z-axis is the direction from vertically downward to upward, the X-axis is the direction from the back to the belly of the golfer 7, and the Y-axis is parallel to the ground plane from the ball hitting point to the target point. The direction. Since various algorithms for converting the xyz local coordinate system to the XYZ global coordinate system are known, detailed description thereof will be omitted here. The swing analysis unit 24B _{integrates the time series data of the accelerations a X} , a _Y , and a _{Z in} the XYZ global coordinate system twice to obtain the golf club 4 (more accurately, the grip end) during the golf swing. Calculate the time series data representing the locus.

In the following step S4, the swing analysis unit 24B applies a bandpass filter that allows only a predetermined frequency component to pass through the _{sensor data (time series data of ω z in the present embodiment) stored in the storage unit 23.} To do. The predetermined frequency component referred to here is a wave component in a predetermined frequency band in which a characteristic relating to the strength of the gripping force of the golfer appears prominently, and in the present embodiment, the characteristic when the gripping force is weak is remarkable. It is a component of the wave in the band of 5 to 20 Hz that appears. For reference, FIG. 5B shows the waveform after applying the bandpass filter that passes the frequency component of 5 to 20 Hz with a broken line.

In the following step S5, the swing analysis unit 24B uses the sensor data after passing through the bandpass filter in step S4 (in this embodiment, _{the time series data of ω z} ) to the golf club 4 at the time of backswing (more accurately). , Grip end) Extract time series data representing the movement. As can be seen from the results of the above-mentioned experiment, when the golfer's gripping force is weak, the waveform of the high frequency component appears remarkably in the time series data at the time of backswing. Therefore, by cutting out the time series data at the time of backswing in step S5, the strength of the gripping force can be determined more accurately in the subsequent analysis. The backswing refers to the movement from the address to the top, but as the time series data at the time of the backswing, the time series data from a little before or a little after the address to a little before or a little after the top is extracted. You may. It is also possible to reverse the execution order of steps S4 and S5, that is, to extract the sensor data at the time of backswing and then pass it through a bandpass filter.

In the following step S6, the swing analysis unit 24B frequency-analyzes the time series data extracted in step S5. More specifically, the time series data extracted in step S5 is fast Fourier transformed to derive a frequency spectrum. Then, by integrating this frequency spectrum, the size D of a predetermined frequency component included in the time series data extracted in step S5 is specified. By passing through step S4, the integrated value here becomes a value representing the magnitude of the wave component in the predetermined frequency band referred to in step S4.

In the following step S7, the swing analysis unit 24B determines the strength of the golfer's gripping force according to the magnitude D of the predetermined frequency component specified in step S6. More specifically, since the predetermined frequency band referred to in step S4 includes 7 to 10 Hz in which the difference in gripping force tends to be noticeable, the magnitude D (integral value) determines the strength of gripping force. It can be expressed accurately. Therefore, the 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. To do. It is assumed that the threshold value used here is predetermined through a number of experiments and stored in the storage unit 23.

In the following step S8, the above analysis result is output. For example, a message indicating the strength of the gripping force of the golfer is displayed on the display unit 21, and a graph for drawing the trajectory of the golf club 4 derived in step S3 is displayed. The above analysis result does not necessarily have to be the final output presented to the user, and may be used for further swing analysis. In addition, the information on the strength of the gripping force of the golfer can also be used for golf practice.

<3. Features>
According to the above embodiment, the strength of the gripping force at which the golfer 7 grips the grip 42 of the golf club 4 is determined based on the time series data representing the movement of the golf club 4. Therefore, it is possible to analyze the gripping state in which the golfer 7 grips the grip 42 without directly measuring the pressure when the golfer 7 grips the grip 42.

The pressure sensor as in Patent Documents 1 and 2 needs to be attached to the grip 42 at a position where the gripping force of the player is physically transmitted, that is, a position where the player grips the pressure sensor by hand. Then, the feeling of the player holding the grip 42 sometimes changes, which may interfere with normal play. Further, when the pressure sensor as in Patent Documents 1 and 2 is attached to the grip 42, the analysis device becomes large-scale, and the performance of the golf club 4, particularly the balance, changes. Such a problem is unlikely to occur.

<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 can be made. In addition, the gist of the following modified examples can be combined as appropriate.

<4-1>
In the above embodiment, the measuring device 1 is an inertial sensor, and the inertial sensor acquires time-series data representing the movement of the striking tool, which is data for analyzing the gripping state of the golfer (hereinafter referred to as analysis data). Was done. However, the present invention is not limited to this example, and for example, the measuring device 1 is composed of one or a plurality of cameras (which may include a distance image sensor capable of three-dimensional imaging), and the movement of the hitting tool is photographed by such a camera. You may. In this case, the data acquisition unit 24A processes the time-series data (that is, moving image data) of the image output from the measuring device 1 as analysis data, for example, when the position of the grip end, acceleration, angular velocity, etc. Series data can be acquired. In addition, analysis data can be acquired by combining the inertial sensor and the camera.

Further, even in the case of obtaining the analysis data from the inertial sensor, instead of or in addition to the angular velocity omega _z, the angular velocity omega _x, omega _y and acceleration a _x, a _y, be the analysis data of data, such as a _z it can. Further, the inertial sensor may include a geomagnetic sensor, and the geomagnetic data can be used as analysis data. Further, the mounting position of the inertial sensor is not limited to the grip end, and can be mounted on other parts of the grip 42, or can be mounted on the head 41 or the shaft 40.

<4-2>
In the above embodiment, the strength of the gripping force for gripping the golf club 4 is determined, but the above algorithm is applied to the determination of the gripping force of other sports hitting tools such as tennis rackets and baseball bats. It can also be applied to the determination of the gripping force of a hitting tool for non-sports applications.

<4-3>
In the above embodiment, the magnitude D of a predetermined frequency component has been identified by integrating the frequency spectrum in a predetermined frequency band. However, the magnitude D of the predetermined frequency component may be the maximum value of the spectral power in the predetermined frequency band, or may be the value of the spectral power of the specific frequency.

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

<4-4>
In the above embodiment, the size D of a predetermined frequency component has been identified by performing frequency analysis. However, after passing 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 original wave, and the original wave and the wave after passing through the bandpass filter are compared. The degree of change can also be set to the magnitude D of a predetermined frequency component.

<4-5>
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. Further, an index depending on the gripping force can be calculated as the strength of the gripping force. The index referred to here is, for example, a spring constant when analyzing the behavior of the grip during a swing with a spring model. Since such spring constants are known (for example, Kenta Matsumoto, 5 others, "Effect of club head inertia on shaft behavior", Sports Engineering / Human Dynamics 2015 Proceedings, B-34 (USB) (see memory), October 2015), detailed description is omitted.

1 Measuring device 11 Accelerometer 12 Angular velocity sensor 2 Analytical device (computer)
24A data acquisition section (acquisition section)
24B Swing analysis unit (judgment unit)
3 Analysis Program 4 Golf Club 42 Grip 7 Golfer

Claims (10)

It is an analysis device that analyzes the gripping state of a hitting tool.
An acquisition unit that acquires time-series data representing the movement of the hitting tool when the user uses the hitting tool, and an acquisition unit.
A determination unit for determining the strength of the gripping force for gripping the hitting tool by the user based on the waveform of the time series data is provided.
The determination unit identifies the size of a predetermined frequency component included in the time series data, and determines the strength of the gripping force according to the size of the predetermined frequency component.
Analyst. The determination unit frequency-analyzes the time-series data and identifies the magnitude of the predetermined frequency component.
The analyzer according to claim 1. The determination unit passes the time-series data through a bandpass filter that passes the predetermined frequency component or a component other than the predetermined frequency component, and obtains a waveform of the time-series data after passing through the bandpass filter. Compared with the waveform of the time-series data before passing through the bandpass filter, the degree of change in the waveform before and after passing through the bandpass filter is specified as the magnitude of the predetermined frequency component.
The analyzer according to claim 1. The determination unit applies a bandpass filter to the time series data to specify the magnitude of the predetermined frequency component.
The analyzer according to claim 1 or 2. The hitting tool is a golf club.
The analyzer according to any one of claims 1 to 4. The determination unit determines the strength of the gripping force based on the time-series data at the time of backswing.
The analyzer according to any one of claims 1 to 5. The acquisition unit acquires data output from at least one sensor of the acceleration sensor, the angular velocity sensor, and the geomagnetic sensor attached to the hitting tool as the time series data.
The analyzer according to any one of claims 1 to 6. The at least one sensor is attached to the grip portion of the hitting tool.
The analyzer according to claim 7. An analysis program that analyzes the gripping state of a striking tool.
A step of acquiring time-series data representing the movement of the hitting tool when the user uses the hitting tool, and
A step of determining the strength of the gripping force at which the user grips the hitting tool based on the waveform of the time series data, and
Let the computer run
The determination step includes a step of specifying the size of a predetermined frequency component included in the time series data and determining the strength of the gripping force according to the size of the predetermined frequency component.
Analysis program. It is an analysis method that analyzes the gripping state of a hitting tool.
A step of acquiring time-series data representing the movement of the hitting tool when the user uses the hitting tool, and
Including a step of determining the strength of the gripping force at which the user grips the hitting tool based on the waveform of the time series data.
The determination step includes a step of specifying the size of a predetermined frequency component included in the time series data and determining the strength of the gripping force according to the size of the predetermined frequency component.
analysis method.

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