JP2023006878A - Hitting support system for hitter - Google Patents

Abstract

To provide a hitting support system by which a hitting practitioner can quantitatively grasp his/her own hitting, and can receive a proper motion improvement suggestion.SOLUTION: [Front stage]: Acceleration data are made to be visual at each hitting by utilizing an IoT device or the like, and a hitting motion is thereby usefully improved. [Next stage]: A system with model hitting as a criterion is constructed, and a practitioner is made to easily grasp a high-level "tip". A model hitting criterion system is a virtual inclination hitting face created by the sensitivity of a model batter, or a measurement system which is coordinately rotated.SELECTED DRAWING: Figure 5

Description

The present invention is a batting support system that contributes to the improvement of batting by a batsman with a batting tool, and there are two ways of thinking about the support. The first is to assist the player in making a hit with as little energy loss as possible, and the second is to assist the player in making a hit close to the model shown by advanced players as a model. Assistance is assistance to the hitter to improve in batting practice. Here, we refer to the first support for the first improvement and the second support for the second improvement.

Striking involves grasping any striking tool such as a racket, bat, hammer, pickaxe, etc., and imparting flight energy to fly the ball, shuttle, etc., mainly through muscle movements of the upper limbs, or moving the object to be hit. Think of it as a gesture that gives movement energy or gives energy that destroys.

The first support for hitting is to support hitting with less energy loss by applying more efficient energy, and the second support is to support hitting closer to the hitting of advanced and skilled players. That is.

Prior to the first and second improvements, the person receiving support should establish the basics, that is, practice so that the ball or the like hits the racket/bat without missing a swing. Then, when this becomes possible, the first improvement will be attempted so that the ball can be hit with less energy loss. The second improvement is to intentionally control the change in flight direction, like a drive shot in tennis or a side hit in baseball. The support for each improvement is the first and second support.

<Object of the present invention>
It is an object of the present invention to provide a batting support system that effectively suggests first and second batting improvements for a batting practicer based on acceleration measurement results. Acceleration measurement is based on the method of tracking the subject position time movement of moving images obtained by an acceleration sensor fixed to the object to be measured or by imaging means separated from the object, and by measurement fusion combining these methods.

<Priority search>
The prior art of the present invention was searched using J-PLATPAT. The search is a simple search, and a patent search combining keyword groups such as / hit / acceleration / sports hitting tool / tennis badminton badminton bat / golf wood putter / table tennis shuttle ball / bamboo sword kendo etc., which is a keyword of the present invention, and / A patent search was conducted by combining the keyword group of impact/acceleration/in-plane plane vector plane component included in a plane parallel to the plane perpendicular to the plane perpendicular to the plane/ The 10th).

Furthermore, we searched for similar technologies by appropriately combining the above keywords and key sentences using the search tool “Google” (implemented on June 12, 2021). However, no website describing the content of the present invention, or a website with descriptions suggesting and analogizing the content of the present invention could be found. For reference, patent documents describing matters related to the present invention and websites non-patent documents disclosing related matters are listed and explained below.

[Patent Literature 1] A technique for estimating and calculating where the hitting point of a golf club hit is on the hitting surface of the golf club. I am using
[Patent Document 2] A method for extracting motion features by modulating first accelerometer data with second accelerometer data is disclosed.
[Patent Literatures 3-4] A method for extracting motion features using dynamic and static accelerometer data is disclosed.

[Non-Patent Document 1] Various scientific training methods for tennis are published on the web. Sony's smart tennis sensor, among others, shows a technology that obtains an acceleration signal from a tennis player during exercise and uses it to practice various tennis exercises. [See also the specification of the smart tennis sensor in Non-Patent Document 4]
[Non-Patent Document 2] Various scientific training methods for golf are published on the web.
[Non-Patent Document 3] Various scientific training methods for badminton are published on the web.
[Non-Patent Document 4] The specifications and usage of the smart tennis sensor have been disclosed. Information on the 9-axis accelerometer is also available on the web.
[Non-Patent Document 5] A “see-through viewer” is a well-known IT gadget announced by Olympus in 2005. Suitable for visual display to the hitter, suitable as a gadget for receiving the signal of the signal generator of the present invention and providing signal information to the hitter.

<Essence of the present invention>
The essence of the present invention is the liberalization of the measurement direction [angle] in the acceleration measurement, which was confined to the conventional existing coordinate system, or the imaginary plane that differs from the reality of impact energy transfer during impact, which will be described later. . This virtualization or liberalization makes it possible to realize a hitting support system that can suggest effective hitting motions to the hitter when applying the hitting energy to the hit body with the hitting tool.

That is, conventionally, the effectiveness of action suggestions (coaching) received by a hitter during batting practice could not be quantitatively guaranteed. I don't know the so-called "tricks". First, we made it possible for the batting practice person to recognize the acceleration quantitative data for each batting practice.

Furthermore, we created a data database by linking the contents of motion suggestions with acceleration measurement values based on the virtual striking surface defined by model striking. By using this database, we were able to construct a motion suggestion [coaching] method based on model striking.

The configuration of the system of the present invention itself is known, and includes acceleration measuring means, a signal generator, batting motion metadata storage means for storing metadata of the batting motion of the hitter, acceleration measurement values measured by the acceleration measuring means, and the batting motion. It is a combination of databases associated with the operational metadata of the metadata storage means.

The signal of the signal generator of the system of the present invention is novel, or the mechanism of extracting the hitting action metadata associated with the measured value from the database and presenting it to the hitter is novel, which will be described later in detail.

Patent 6551123 [Dunlop Sports, Sumitomo Rubber Industries] WO2017179423[Sony] MOTION MEASURING DEVICE, INFORMATION PROCESSING DEVICE, AND MOTION MEASURING METHOD WO2018088041[Sony] Information processing device WO2018088042[Sony] Information processing device

<Tennis><< Smart tennis sensor [Sony] Polish your shots with swing data and video! ＞＞https://smartsports.sony.net/tennis/JP/en/＜＜Tennis Racket Science [Kawazoe Laboratory]＞＞https://kawazoe-lab.com/tennis_racket/ <Golf> <<[Golf View] Face Orientation and Vector - Adult Golf Club >> https://ameblo.jp/respecting-tw/entry-12652816546.html << Use the power vector in the vertical direction to fly Aim for more distance >> https://funq.jp/even/article/461525/ <Bud> <<Research on prediction of badminton stroke>>https://www.jstage.jst.go.jp/article/sobim/43/2/43_134/_pdf ＜Sensor＞＜＜Smart Tennis Sensor [Sony] Specifications＞＞https://smartsports.sony.net/tennis/JP/ja/spec/index.html＜＜Smart Tennis Sensor [Sony] Usage＞＞https:/ /smartsports.sony.net/tennis/JP/en/howto/＜＜9-axis wireless motion sensor ZMP (registered trademark) IMU-Z2 & SDK＞＞https://www.zmp.co.jp/products/sensor/ imu-gps-can/imu-z/feature <See-Through Viewer> <<Olympus Enhanced Reality Interface (December 1, 2004)>> https://www.itmedia.co.jp/news/articles/0412/01/news064.html

Conventionally, the effectiveness of motion suggestions [coaching] that hitters receive during batting has not been quantitatively [scientifically] guaranteed, which is a problem. To put it simply, most of the motion suggestion [coaching] is rooted in the athleticism system, and some useless and sloppy ones have been found here and there.

By the way, being able to perform model batting is completely different from giving effective suggestions (coaching) that contribute to the improvement of batting practice of a third party. Professional players don't always make good coaches. Science is the link between the two, and the key to the present invention is the collection and use of acceleration data.

A system that collects acceleration data and presents it to the practitioner so that the practitioner can scientifically grasp the batting state, and converts the relationship between the acceleration data and the motion suggestion into a data database, and uses the database to model batting. The task was to construct a system that can suggest actions [coaching] that converge on the form.

First, a mechanism was considered in which a batting phenomenon is quantified by a simplified system and a batting suggestion is output immediately after each practice batting (claims 1 to 4). Then, as the next step, the simplified system was switched to a system based on the virtual striking surface defined by the model striking, and a practical system capable of dealing with various striking was made. In the same way, the direction of measurement is made flexible to give a degree of freedom so that it can respond to various blows.

The first stage of the present invention is to quantify the impact phenomenon in a simplified system to suggest impact, which will be disclosed below [Claim 1 to 4].
That is, [Claim 1] comprises an acceleration measuring means for measuring the transfer of the impact energy as acceleration when the impact energy is continuously applied to the object to be impacted by the impact tool, and a signal generator for generating a signal recognizable by the impacter. The acceleration measurement means measures the acceleration in the plane for transferring the impact energy, and transfers the acceleration in the plane for transferring the impact energy of the previous impact and the impact energy of the next impact. This is a hitting support system in which the signal generator generates a signal based on changes in in-plane acceleration.

[Claim 2] The present invention comprises acceleration measuring means for measuring the transfer of the impact energy as acceleration when the impact energy is continuously applied to the object to be impacted by the impact tool, and generating a signal recognizable by the impacter. In the system having a signal generator, the acceleration measuring means measures the acceleration perpendicular to the plane on which the impact energy is transferred and received, and the acceleration perpendicular to the surface on which the impact energy is transferred and received on the previous hit and the acceleration on the next hit. This is a hitting support system in which the signal generator generates a signal based on the change in acceleration perpendicular to the plane of giving and receiving the hitting energy.

The present invention provides [Claim 3] an acceleration measuring means for measuring the transmission and reception of the impact energy as acceleration when impact energy is applied to the object to be impacted by the impact tool, and a signal generator for generating a signal recognizable by the impacter. wherein the acceleration measuring means measures the acceleration in the plane for transmitting and receiving the impact energy, and the measured acceleration in the plane for transmitting and receiving the impact energy and the surface for transmitting and receiving the pre-registered impact energy It is a hitting support system in which the signal generator generates a signal based on the difference from the internal acceleration.

[Claim 4] of the present invention includes acceleration measuring means for measuring the transfer of the impact energy as acceleration when the impact energy is applied to the object to be impacted by the impact tool, and a signal generator for generating a signal recognizable by the impacter. wherein the acceleration measuring means measures the acceleration perpendicular to the plane on which the impact energy is transferred, and the measured acceleration perpendicular to the surface on which the impact energy is transferred and the pre-registered impact energy are transferred. A hitting assistance system in which the signal generator generates a signal based on the acceleration perpendicular to the plane to which the ball hits and the difference.

The first step of the next step of the present invention is to switch the above-described simplified system to acceleration measurement based on the virtual hitting surface defined by the model hitting, which enables practical use with a higher degree of freedom that can respond to various types of hitting. system.

In other words, [Claim 5], the surface for giving and receiving impact energy is a surface for giving and receiving impact energy determined in advance by a model impact performed using the striking tool, and the impact energy transfer is measured as acceleration. The acceleration measuring means is a system that measures the transfer of impact energy on the impact energy transfer surface determined by the model impact as acceleration.

In addition, the second stage, which is the next stage of the present invention, produces the same effect as the first stage. .

That is, [Claim 6], the acceleration direction of the acceleration measuring means for measuring the transfer of impact energy as acceleration is the direction determined in advance by the model impact performed using the impact tool, and the direction of the impact energy. The acceleration measuring means for measuring the giving and receiving as acceleration is a system for measuring the acceleration in the direction determined by the model hitting.

Furthermore, the third next step of the present invention is to create a data database of the relationship between acceleration data and motion suggestions, and to use this database to build a system that can suggest motions (coaching) that converge on a model hitting form. With this system, it has become possible to receive suggestions for quantitative [scientific] hitting motions that are truly effective for hitters.

That is, [claim 7] further includes a hitting action metadata storage means for storing the metadata of the hitting action of the hitter when applying the hitting energy, and the value of the acceleration measured by the acceleration measuring means and the hitting action. When it is desired to give impact energy measured by one numerical value of acceleration to the object to be hit by the impact tool, the impact operation metadata associated with the numerical value is retrieved from the database. It is a system that presents it to the hitter.

<Problem formulation: Coordinate system PQR>
Figures 1 to 3, which explain the application scene of the invention and the coordinate system for quantitatively solving the problem, are illustrations showing hits of the master class, [Figure 1] (a) Golfer KAORI's Shot by Wood, (b) Illustration of tennis player MARI's forehand shot, and [Fig. 2] is an illustration of lefty slugger RIKA hitting the right field.

[Figure 3] shows the hammer hit of the craftsman "Chinbyo" TOUKO. As shown by (a1)>(a2)>(a3) in the figure, the head of the rivet or nail is neatly driven into the board or the like to be joined with a small blow. Even if an amateur tries to do this, the core will bend or the head will collapse, as shown by (b1)>(b2)>(b3) in the figure.

KAORI-MARI-RIKA-TOUKO in Figures 1-3 is a fictitious person and does not refer to a specific individual. They are representatives of professional athletes and famous craftsmen, respectively, and are model hitters to be described later. The symbols in the figure are as follows.
Im: Impacter
Si: Surface of the impact
Pi: Point of the impact [sweet spot]
Ti: Tool for the impact

And the PQR is as follows.
P: one direction in the striking plane, the direction acceleration vector,
Q: the other direction in the striking plane orthogonal to P, the directional acceleration vector,
R: A direction perpendicular to the striking surface [flying/moving direction of the object to be hit], and the acceleration vector in this direction.

In the present invention, one model hit is that 100% of the hitting energy of the hitter on the surface stretched in the P-Q direction, that is, the hitting surface, is replaced by energy for flying/moving the hit object in the R direction or breaking it. thought. Conversely, if we were to aim for this one model strike, we thought that the acceleration measured in the P-Q direction should be minimized.

Tennis, badminton, table tennis, etc. illustrated in Figures 1 and 2 use a racket as a hitting tool, so the racket surface is the hitting surface, and the [point] of the ball or shuttle that is the object to be hit is hit with the hitting surface. .

On the other hand, in the case of baseball, softball, etc. in FIG. It is considered to be a model strike to strike. In that case, as shown in FIG. 3, if the vertical line drawn from the sweet spot to the axis of the pad is in the R direction, and the surface perpendicular to the R direction is the hitting surface, then it is the same as other competition cases. Quantifiable.

<System>
FIG. 4 is a flow chart of the structure of the hit support system based on the acceleration of the previous hit and the next hit according to the present invention, and FIG. 5, (a) shows an example of a block diagram, and (b) shows an example of a flow chart. However, these (a) and (b) are examples, and in addition to this, various hardware configurations and various software configurations (program configurations) can be adopted. The reference numerals in the figure are summarized below, but are as follows.

A: Acceleration sensor installed on striking tool Ti
A1: High-speed video imaging means for acceleration measurement
B: A means of receiving acceleration data from A
C: A processor that generates information for the hitter from B's data
C1: Means to get the acceleration from the moving image of A1
D: A means of transmitting the information of C to the signal generator E
E: A signal generator perceivable by the hitter, e.g. F
F: A signal generator that combines a viewer and a speaker in Non-Patent Document 5

Supplement the explanation of symbols.
A1 is a high-speed moving image pickup means capable of recording several million still images [called still frames] per second for measuring acceleration. In recent years, a device capable of recording several billion frames per second, which is more than several million frames, has been developed.

By using the high-speed moving image capturing means, it is possible to grasp the specific position change of the hitting tool or the hitter every microsecond to nanosecond, so that the speed can be calculated from the position change and the acceleration can be calculated from the speed change. C1 [means for obtaining acceleration from moving image of A1] is responsible for such acceleration calculation.

C is a processor, that is, an information processing device that generates information for a hitter from the data of B [means for receiving acceleration data from A]. Of course, the acceleration data is also received from C1 [means for obtaining acceleration from moving image of A1].

FIG. 4 is an illustration of the present invention system for local [standalone] information processing without a net connection. On the other hand, in the example of FIG. 5, the acceleration measuring device is a device having an IoT [Internet of Things] function, uploads data to the network, and the information processing device C receives the uploaded data via the network and processes [ information processing]. Then, D [means for transmitting information of C to signal generator E] having an IoT [Internet of Things] function downloads and transmits to E as information to generate a signal via the network.

The configuration of ABCDE is not limited to this, and many hardware configurations and software configurations (program configurations) can be adopted.

Here, in FIGS. 4 and 5, as an advanced signal generator E that can be worn by a hitter, F, that is, a gadget that combines a viewer and a speaker in Non-Patent Document 5, is exemplified. On the other hand, the signal generator E is not limited to this, and a simple device such as the following may be used.

<Example 1> A configuration in which the worker wears only a speaker such as a headset, and auditory information recognized by the batting practice person is presented from the speaker F illustrated in FIGS. 4 and 5 from the speaker, and / or,
<Example 2> A device that displays letters/pictures is installed on a scoreboard or the like in a batting practice field, and the picture/letters display device is recognized by a batting practice player through the viewer F shown in Figs. 4 and 5. It may also be configured to similarly present the visual information received.

In addition, if we add the term "modality" to the specific method for "the hitter can recognize", it is desirable to have a notification route to the hitter with a plurality of diverse modalities. "Modality" will be added later.

<Example [difference between previous blow and next blow]>
Table 1 shows an embodiment [simulation] of the present invention based on the difference between the previous hit and the next hit (claims 1-2). This includes measurements of both the in-plane acceleration components P, Q [Claim 1] and the normal-to-plane acceleration component R [Claim 2].

By simulation, we mean that the acceleration data was not actually taken, but artificially generated under certain conditions. A hitter in the simulation is a hitter who is assisted by the system and is a hitter who practices a specific hit. Symbols in the table and simulation conditions will be explained.

P2, Q2, and R2 in the table are the magnitudes of the P, Q, and R direction components of the acceleration vector measured by each of the first, second, and third … [1st Shot, 2nd Shot, 3rd Shot, etc.] is the squared value of The square root of these sums [P2+Q2+R2] is the magnitude of the acceleration measured for each successive hit. Here, the square calculation is omitted for simplicity.

Also, in order to make comparison between hits easier, P2 + Q2 + R2, which is the square value of the magnitude of each acceleration, is A constant value of 100 was assumed.

Assuming continuous batting practice by the same batsman, the batting energy will not change significantly for each batting. Therefore, it is assumed that the square value of the magnitude of each acceleration is a constant value of 100.

Table 1 is an example assuming a hitter who can reliably lower the P-direction acceleration. Therefore, the P-direction acceleration assumed value P2 is set to decrease in the order of 64→55→49→36→ .

On the other hand, the assumed Q-direction acceleration value Q2 was arbitrarily set to 11→19→26→13, and so on. Then, since P2+Q2+R2, which is the square value of the magnitude of each acceleration, is a constant value of 100, the value of R2 is determined.

The goal of hitting practice in Table 1 is to achieve a hit with full energy in the R direction with the in-plane acceleration [P, Q components] set to zero. The difference between the second and third shots after the first shot, [second shot, third shot, . The sign “↑” indicates an increase [increase in value], and the sign “↓” indicates a fall [decrease in value].

Here, since the goal is to make the in-plane acceleration [P, Q components] zero, it can be interpreted that the difference between the P, Q components has the sign "↓", which is a desirable improvement in impact.

Assuming a hitter who can reliably lower the P direction acceleration, the P2 component decreases with each hit. On the other hand, if you only look at the judgment signs “↑↓” of Q2 and R2, you may not understand the improvement. Similarly, just looking at the sign “↑↓” of the judgment of P2 + Q2 does not give a definite improvement in hitting.

Effective hitting improvements were made in the 4th, 6th, 7th, 9th and 10th shots. In other words, in the case where the difference between the P and Q components has the sign "↓" and the difference between the R components has the sign "↑", it is preferable to monitor all of the P, Q, and R components to determine impact improvement (see Table 2). (see thick frame).

Here, the sign of difference in the P and Q components is a signal based on the difference between the acceleration in the plane through which the impact energy of the previous impact is transferred and the acceleration in the plane through which the impact energy of the next impact is transferred. The differential sign is a signal based on the difference between the acceleration perpendicular to the plane of impact energy transfer and the acceleration of the next impact perpendicular to the energy transfer plane of the previous impact. Therefore, this example includes both aspects of the in-plane acceleration components P and Q [Claim 1] and the acceleration component R perpendicular to the plane [Claim 2].

In the exemplary simulation of Table 1, in the signal generator of the system of the present invention, these three signals, that is, the acceleration in the three directions of P, Q, and R increased [increase in numerical value] with It is preferable to generate a glyph signal exemplified by a descending [decreasing numerical value] sign "↓".

However, it would be more effective to generate visual recognition signals such as a red light when rising and a blue light when falling, and auditory recognition signals such as a trumpet sound when rising and a rattling sound when falling, rather than making the batting practice person recognize pictographic signals.

In addition, the tricks in the 4th, 6th, 7th, 9th, and 10th shots [what I was aware of when changing the batting form] that effectively improved my batting should be recorded as movement metadata, which will be described later.

Conversely, other than the 4th, 6th, 9th, and 10th shots, the no-no-do-no-do-form changes [things to be aware of] should be recorded as action metadata, which will be described later.

<Example [difference between pre-registered hit and next hit]>
Next, Tables 3-6 list examples [simulations] quantitatively showing the present invention based on the difference between a pre-registered hit and the next hit (claims 3-4). The difference in the acceleration measurement value with respect to the pre-registered 0-shot is displayed for each hit of the 2nd shot, the 3rd shot, and so on. In short, the display is a value display of [each impact value] minus [previously registered value].

As before, P2, Q2, and R2 in the table are the P, Q, and R direction components of the acceleration vector measured by each of the first, second, third ... [1st Shot, 2nd Shot, 3rd Shot ...] impact. is the square of the magnitude of . The square root of these sums [P2+Q2+R2] is the magnitude of the acceleration measured for each hit. Here, the square calculation is omitted for simplicity.

Similarly, in order to facilitate comparison between hits, it is the square value of the magnitude of each acceleration in the first, second, third ... [1st Shot, 2nd Shot, 3rd Shot ...] It is assumed that P2 + Q2 + R2 is a constant value of 100.

Here again, it is assumed that the same hitter will perform the first, second, and third...[1st Shot, 2nd Shot, 3rd Shot...] as batting practice, so the impact energy will change greatly with each shot. is impossible, so the square value of the magnitude of the acceleration is assumed to be a constant value of 100.

Now, in the example of Table 3, the pre-registered 0-Shot is [Shot with no energy loss in the hitting plane] in which the P and Q acceleration components in the hitting plane are both zero.

For the hitting practicer in Table 3, the signal generator generates a signal based on the difference between the zero value of both the P and Q acceleration components in the hitting plane of the pre-registered 0-Shot of each hitting acceleration. A good example of a signal based on this difference will be described later with reference to [Table 3X] and FIG.

In any case, the hitting practicers in Table 3 are suggested by the signals based on the difference, and the first, second, third... [first shot, second shot, third shot...] and the previously registered hitting surface Both the inner P and Q acceleration components can gradually approach shots with zero values, and in the 6th and 7th shots [... 6th shots, 7th shots], the training goal of zero energy loss in the striking plane can be reached. rice field. This signal suggestion and practice goal achievement will be described later with reference to [Table 3X] and FIG.

Here, the batting practice targets shown in the pre-registered 0-Shots of Tables 3-6 including Table 3 are as follows.
Table 3 shows [practice example of shot without energy loss in the hitting plane].
Table 4 is [a practice example of a loose drive Shot].
Table 5 is [Example of hard drive shot practice].
Table 6 is a [practice example of 45-degree drive shot] that gives large energy to P and Q.

The hitting practice target shown in the pre-registered 0-Shot in the example of Table 4 is [practice example of a loose drive Shot], and the model hitting of the 0-Shot has an in-plane P acceleration component of P2 10.0 in value. So a loose drive is applied in the left and right direction.

The hitting practice target shown in the pre-registered 0-Shot in the example of Table 5 is [practice example of a hard drive Shot], and the model hitting of the 0-Shot has an in-plane P acceleration component of P2 The value is 25.0, which is 2.5 times that of Table 3. In comparison with Table 3, 2.5 times tighter drive is applied in the left and right direction.

The hitting practice target shown in the pre-registered 0-Shot in the example of Table 6 is [45-degree drive shot practice example] that gives a large amount of energy to P and Q, and the model hitting of the 0-Shot is , the P acceleration component in the hitting plane, the Q acceleration component in the hitting plane, and the R acceleration component in the hitting method perpendicular to the plane, all of which are about 33 in terms of magnitude squared. This is an example of Shot practice with a 45-degree drive to the top, bottom, left, and right.

。

.

As with Table 3, for the batting practicers in Table 4-6, the pre-registered 0-Shot of each batting acceleration, the in-plane P and Q acceleration components, and the batting direction R perpendicular to the batting plane A signal generator generates a signal based on the difference in acceleration for the acceleration components. Preferred examples of signals based on this difference are described below with reference to Tables 4X-5X-6X and FIGS. 7-8-9.

In any case, the hitting practitioners in Tables 4-6 were pre-registered as 1st, 2nd, 3rd ... [1st Shot, 2nd Shot, 3rd Shot ...] by being suggested by the signal based on the difference. It is possible to gradually approach the shot of the acceleration for P, Q in the hitting plane and the acceleration component in the hitting direction R orthogonal to the hitting plane, and practice in 6th and 7th [... 6th shot, 7th shot] I was able to reach the goal of [loose drive shot]-[tight drive shot]-[45 degree drive shot]. This signal suggestion and practice goal achievement will be described later with reference to Tables 4X-5X-6X and Figures 7-8-9.

As a matter of course, registration of registration in advance is registration in the processing device of the system of the present invention.
For such registration, it is preferable to register the data measured by the model hitter hitting with the hitting tool used by the practicing hitter. The reason for this is that if a different hitting tool is used, the physical properties of the hitting tool itself, such as the deflection of the tool itself, will differ. This is because the consistency of the difference from practice hitting cannot be obtained.

Also, here, a hitter is a person receiving support for hitting by this system and is a hitting practicer who practices a specific hitting, while the model hitters are somewhat diverse as follows. The model hitter and the pre-registered acceleration may be any of the following [1][2][3][4], and there are no other examples.

[1] A senior batting instructor who instructs a batting player to perform a batting with a batting implement used by a batting practicer in advance and registers the measured acceleration.

[2] A hitting professional who can practice the ideal hitting, which is the goal of batting practice that the hitting practicer recognizes as an ideal hitting and wants to be able to practice such a hitting, prepares the hitting used by the hitting practicer in advance. Register the acceleration measured by striking with the tool.

[3] A formidable hitter whom the hitting practice person recognizes as his rival performs a hit in advance with the hitting tool used by the hitting practice person, and registers the measured acceleration.

[4] When the hitting practice person recognizes that he/she is in excellent condition, the hitting practice person himself/herself performs a hit with the hitting tool used by the hitting practice person in advance, and registers the measured acceleration.

<Preferred signal of difference and recommendation to prompt modification [recommended modification]>
[Table 3X] is an example showing the acceleration in the plane or perpendicular to the plane where the pre-registered impact energy is transferred and the difference from the measured value of the 1st shot, and showing the recommended [recommended correction] to further correct the impact. This is the second example of [Practice example of shot without energy loss in striking plane] in Table 3.

Rows 7 et seq. of Table 3X are the rows showing the preferred signal of the difference and the recommendation prompting the strike modification [recommended modification], and are related to FIG.
That is, (a) of FIG. 6 shows a part of [Table 3X] in the text as it is for the sake of clarity. is depicted in the This illustrated racket is displayed so as to be visually recognizable at F in FIGS. 4-5. This also applies to Figure 7-8-9.

The numerical values drawn in the picture shown in the illustration of the racket in Fig. 6(b) are the signal It is a "visual" signal based on the difference produced by the generator. A description of this "visual" signal follows.

<Recommended “recommended” display and weighting strength>
The top and bottom of the racket illustration is the P direction, and the left and right is the Q direction. That is, the vector [arrow] thick line indicates the difference. A recommendation "recommended" for the next hit is also displayed, and the recommendation is indicated by a vector [arrow] thin line obtained by converting each hit acceleration and the difference in the opposite direction. is multiplied by the weighting strength [value of 1.0 or less].

It is preferable that this weighting intensity approaches 1.0 as the target value is approached. For example, [value of weighting strength] = 1.0 - [value of difference from target value]. In this way, the number of hits required to reach the target value is reduced by hitting as recommended. (If you do not do this, you will not be able to reach the target value even with a large number of hits.) If the weighting intensity is automatically set and displayed so that it approaches 1.0 as the target value is approached, the batting practicer will be able to achieve the target value regardless of the weighting intensity. It is convenient to be able to grasp the degree of approach to.

The "visual" signal of the difference presented to the batting practitioner, the "auditory" signal shown in FIGS. It is also preferable to present the difference between the in-plane acceleration for giving and receiving the impact energy of the second hit and the in-plane acceleration for giving and receiving the impact energy of the next hit.

<“auditory” signals>
The "auditory" signals shown in Figures 4-5 read out the value of the difference, the value of the recommended correction to prompt for striking correction, or the success of approaching the target value, as shown. A simple and clear sound such as a trumpet sound for a hit, or a sloppy sound for an unsuccessful hit that deviates from the target value is also suitable.

<Multiple modalities>
And it would be more effective to present the hitting practice person with a "visual" signal and an "auditory" signal at approximately the same time, as shown in FIGS. 4-5. (Preferably, the cognitive signal is generated in a number of modalities described below)

In the practice example of [Table 3X], after the first shot [1st Shot], which is the same as in Table 3, a recommendation [recommended modification] with an intensity of 0.5 prompting modification of the impact was obtained by visual signals, etc. convergence is accelerated, and the target is achieved with the sixth shot, which is 1 shot earlier than the convergence in Table 3.

。

.

Rows 7 et seq. of Table 4X are the rows showing the preferred signal of the difference and the recommendation prompting the strike modification [recommended modification], and are related to FIG.
In other words, (a) of Fig. 7 is a part of [Table 4X] in the text as it is for the sake of clarity, and the numerical values in it are shown in the illustration of the racket in Fig. 7 (b). is depicted in the This illustrated racket is displayed so as to be visually recognizable at F in FIGS. 4-5.

The numerical values drawn in the picture shown in the illustration of the racket in Fig. 7(b) are the signal It is a "visual" signal based on the difference produced by the generator.

This “visual” signal is the same as the description of <recommended “recommended” display and weighting intensity> in [Table 3X] above, and the <“auditory” signal> <multiple Modality> is also the same, so it is omitted.

In the practice example of [Table 4X], after the first shot [1st Shot], which is the same as Table 4, a recommendation [recommended modification] with a strength of 0.8 was obtained by visual signals, etc. convergence is accelerated, and the target is achieved with the fifth shot, which is 2 shots earlier than the convergence in Table 4.

。

.

Rows 7 et seq. of Table 5X are the rows showing the preferred signal of the difference and the recommendation prompting the strike modification [recommended modification], and are related to FIG.
That is, (a) of FIG. 8 shows a part of [Table 5X] in the text as it is for the sake of clarity. is depicted in the This illustrated racket is displayed so as to be visually recognizable at F in FIGS. 4-5.

The numerical values drawn in the picture shown in the illustration of the racket in FIG. It is a "visual" signal based on the difference produced by the generator.

This “visual” signal is the same as the description of <recommended “recommended” display and weighting intensity> in [Table 3X] above, and the <“auditory” signal> <multiple Modality> is also the same, so it is omitted.

In the practice example of [Table 5X], after the first shot [1st Shot], which is the same as Table 5, a recommendation [recommended modification] with an intensity of 0.8 prompting modification of the impact was obtained by visual signals, etc. convergence is accelerated, and the target is achieved with the fourth shot, which is 3 shots earlier than the convergence in Table 5.

Rows 7 et seq. of Table 6X are the rows showing the preferred signal of the difference and the recommendation prompting the strike modification [recommended modification], and are related to FIG.
That is, (a) of FIG. 9 shows a part of [Table 6X] in the text as it is for the sake of clarity. is depicted in the This illustrated racket is displayed so as to be visually recognizable at F in FIGS. 4-5.

The numerical values drawn in the picture shown in the illustration of the racket in FIG. It is a "visual" signal based on the difference produced by the generator.

This “visual” signal is the same as the description of <recommended “recommended” display and weighting intensity> in [Table 3X] above, and the <“auditory” signal> <multiple Modality> is also the same, so it is omitted.

In the practice example of [Table 6X], after the first shot [1st shot], which is the same as in Table 6, a recommendation [recommended modification] with a strength of 0.8 was obtained by visual signals, etc. convergence is accelerated, and the target is achieved with the fourth shot, which is 3 shots earlier than the convergence in Table 6.

<A system that gives a degree of freedom corresponding to an actual hit to a system that assumes a simplified ideal hit>

<Hypothetical plane different from reality> [Claim 5]
In the description that ``the surface for transferring impact energy is the surface for transferring impact energy determined in advance by model impact performed using the striking tool'', the ``transmission surface'' means the model impact that is ``experimentally determined''. It can also be rephrased as a “virtual” transfer surface of the “applied” striking energy. This "virtual" giving/receiving surface will now be described.

The "virtual" giving and receiving planes are [1][2][3][4] below.
[1] When a senior batting instructor who instructs a batting player experimentally performs multiple battings using a batting tool used by a batting practicer in advance, the acceleration is sampled by the acceleration measuring means of this system, A hypothetical transfer plane of striking energy determined to be statistically [experimentally] most likely by such a set of collected data.

[2] A hitting professional who can practice the ideal hitting, which is the goal of batting practice that the hitter recognizes as an ideal hitting and wants to be able to practice such a hitting, prepares the hitting equipment used by the hitting practitioner in advance. , the acceleration is sampled by the acceleration measuring means of the system, and the strike that is statistically [experimentally] determined to be the maximum likelihood based on the sampled data group A virtual transfer plane of energy.

[3] When a formidable hitter whom a hitting practicer considers to be his own rival performs a number of experimental hits in advance using the hitting tool used by the hitting practicer, the acceleration is measured by the acceleration measurement means of this system. A hypothetical transfer surface of impact energy that has been collected and determined to be statistically [experimentally] most likely by such collection of data.

[4] When the hitting practice person is in perfect condition The acceleration measurement means of this system collects the acceleration when the hitting practice person performs multiple hits experimentally using the hitting equipment used by the hitting practice person in advance. Then, the imaginary transfer surface of impact energy determined to be statistically [experimentally] most likely by such collected data set.

The "statistically [experimentally] maximum likelihood determination by the collected data group" described in the above description of the "virtual" giving/receiving surface [1][2][3][4] will now be described.

<Statistically [experimentally] maximum likelihood determination by collected data group>

<Liberalization of measurement direction [angle]> [Claim 6]
Mathematically, virtualization of a plane and liberalization of angles are equivalent in three-dimensional measurement data processing such as acceleration. That is, mathematically, both the virtualization of the plane and the liberalization of the angle result in finding θ1 and θ2 using the following formulas (1), (2), (3-1), and (3-2). That is, when the rotation angles .theta.1 and .theta.2 are obtained as angle liberalization and the coordinate system to be measured is rotated by .theta.1 and .theta.2, the striking surface also rotates and becomes the "virtual" transfer surface.

In short, the "virtual" giving and receiving surface means that the hitting "surface" is tilted θ1 and θ2 [the coordinate system is rotated by the rotation angles θ1 and θ2] as seen from the model hitting of the model player. It is the surface. The reason why such a "virtual" is necessary is that the sensibility of the model hitter is different from the reality. That is, it is more effective to rotate the direction of the original coordinate system or the hitting surface by .theta.1 and .theta.2 based on the sensitivity of the model hitter.

Here, effective means that a batting practice person can practice easily. The reason is that the "knack" of the model hitter's batting is sensibility, and since that sensibility indicates the rotation of a virtual or coordinate system, the quantitative data presented to the practitioner is also in such a virtual or rotated state. This is because if they are not presented, discrepancies will occur between the quantitative data and the model hitters' suggestions for hitting.

Now, how to obtain θ1 and θ2 will be described below using the formulas (1), (2), (3-1), and (3-2).

As an ideal hit in which the model hit of the model hitter hits only in the R direction, that is, as a loss-free hit in the P-Q direction within the hitting plane, N times of model hit data is collected, and the N pieces of data are converted to (Pi, Qi , Ri) [i=1,2,3...N]. Model hitting data of a model player is data on a virtual plane in which the hitting "plane" is inclined θ1 and θ2, and is equivalent to the data measured by rotating the coordinate "axis" by θ1 and θ2. Here, since the coordinate transformation sequence by θ1 and θ2 is T (equation (1)), the data obtained by transforming N pieces of data (Pi, Qi, Ri) by T is the loss in the P-Q direction within the striking plane. It is equal to the right-hand side of formula (2) for non-attack.

The right-hand side of Equation (2) is a vector in the hitting direction R only, and since the model hitting is a model hitting in which there is no in-plane loss and 100% of the energy is applied in the R direction [hitting direction], the P component, Q component is zero.

Solving (2) for θ1 and θ2 gives (3-1)(3-2). With enough N numbers from this solution, it is possible to statistically obtain likelihood values for θ1 and θ2.

In the formula (3-1), the ratio of Ci and Ri gives θ1. A simple conclusion in determining θ1 by model hitting is that this ratio should be a constant value of "1" (see FIG. 13(a)). Then θ1 is zero degrees and there is no axial rotation. However, if this ratio is far from "1", then .theta.1 is not zero and the angle can be found by plotting many data as shown in FIG.

That is, if the line is on a line where the ratio of Ci and Ri is not "1" as shown in FIG. 13(b), .theta.1 is determined from the cosine [cos] value of the ratio.

It is common in the field of batting practice that the “knack” of a model strike changes depending on whether the strike is loose or strong. In this case as well, according to the method of the present invention, it is possible to quantitatively grasp to what extent the soft impact is and from where the strong impact is. This is shown in FIGS. 13(c) and 13(d).

In FIGS. 13(c) and 13(d), θ1 was zero degrees for gentle hits, but not zero for hard hits. Quantitatively shown.

Similarly, although not shown in the figure, model hitters may have the know-how to change the hitting surface or the direction of the hitting, even though θ1 may be 0 degrees for heavy blows. . Even in such cases, the method of the present invention is effective in that it is possible to quantitatively ascertain the degree of soft hitting and from where the hard hitting starts, and that specific guidelines can be given in practice to change the hitting surface or direction of hitting. be.

From [Formula (3-1)], the ratio of Ci and Ri that can be read from the data is a cosine [cos] value, so the slope of the regression graph should not exceed "1" [Fig. c)].

However, the deviation of the measurement value due to the measurement offset, how to set Ci and Ri [Reverse setting of Ci and Ri], and if the Ci value is the self-reported value of the model hitter, the actual measurement that comes from that The slope of the regression graph may exceed "1" due to deviation from the value, etc. In that case, I would like you to modify it flexibly and derive an appropriate θ1.

Although θ1 has been described above [equation (3-1)], an appropriate θ2 can be obtained by performing the same operation for θ2 using equation (3-2). θ2 is related to the acceleration “in-plane” of the hit, so it is related to curved hits such as drive shots and slice shots. This is a collection of the so-called professional "knacks" of model hitters. The derivation of θ2 and how to use it as a professional “trick” are somewhat complicated, and are omitted here to avoid it.

FIG. 12 is a flow chart showing the method of the present invention. Each time the type of hitting to be practiced is changed, θ1-θ2 are changed based on the model hitting data, and the flow is such that it is possible to adapt to the unique “knack” of hitting for that type of hitting. Here, the hitting types are, for example, [Shot without energy loss in the hitting surface], [Loose drive Shot], [Tight drive Shot], [45 degree drive Shot], which are exemplified as practice targets in Tables 3-4-5. ] and so on.

In this way, it becomes possible to make more detailed suggestions for practice for each type of hitting. Conventionally, there has been no practice of reviewing the acceleration data by changing θ1-θ2 from the model hitting data in accordance with the training target. Here the novelty and inventive step of the invention are clear.

<Suggestion to hitters> [Claim 7]
Examples of the following means and databases are illustrated in FIG.
(1) Hitting motion metadata storage means for storing metadata of the hitting motion of the hitter when applying hitting energy;
(2) A database that associates the numerical value of the difference in acceleration with the hitting motion metadata. Pulling from the database and presenting to the hitter the hitting motion metadata associated with the is illustrated in FIG.

Here, the following symbols are introduced for description simplification and clarity.
ΔP: Next hit [[P]] - [Previous hit [[P]], or the value of the formula shown below ΔP: Next hit [[P]] - Pre-registered hit [[P]]
ΔQ: Next hit [[Q]] - [Previous hit [[Q]], or the value of the formula shown below ΔQ: Next hit [[Q]] - Pre-registered hit [[Q]]]
ΔR: Next hit [[R]]] - [Previous hit [[R]], or the value of the formula shown below ΔR: Next hit [[R]]] - Pre-registered hit [[R]] ]

The meaning of these underlying signs is:
P: one direction in the striking plane, the acceleration vector in that direction
Q: other direction in the striking plane perpendicular to P, the direction acceleration vector
R: Perpendicular to the striking surface [flying/moving direction of the hit object], acceleration vector in that direction
[[P]]: Magnitude of the acceleration vector measured in one direction in the striking plane
[[Q]]: magnitude of the acceleration vector measured in the other direction in the striking plane orthogonal to P
[[R]]: Acceleration vector magnitude measured perpendicular to the striking surface

Table 7 shows the ΔP relative values and the corresponding metadata (abstract representation) of the operation. P is upward direction, -[minus] P is downward direction, which is the [algebraic representation of the action metadata], tentatively called the abstract representation of the metadata. To show the numerical concrete part of this abstract expression with an easy-to-understand example, for example, 10% is [a little], 20% is [a little], 50% is [normally], 70% is [somewhat much], 80% is [many], 95% is [very much], etc. In addition, expressions including "onomatopoeia" unique to Japanese are represented and embodied numerically.

Furthermore, if we add an easy-to-understand example of the numerical concrete part of this abstract expression, 10% [slightly (very weakly)], 20% [a little stronger], … 50% [relaxed and normal (relaxed) 70% [slightly intense (strong)], 80% [very intense (very strong)], 95% [extremely strong], and so on.

Table 8 shows relative values of ΔQ in the horizontal direction with respect to ΔP in Table 7 in the vertical direction, and metadata (abstract expression) of the corresponding motion. Q is to the left and -[minus] Q is to the right, indicating the metadata (abstract representation) of the relative value and the corresponding action. This represents an abstract expression similar to ΔP in Table 7 and is embodied by a numerical value.

It indicates whether the action OK or action NG in Tables 7 and 8 brought about good or bad results for hitting, and may be replaced with other expressions. Here, the information classified in Tables 7 and 8, including the sensibility related to the action, is (1) the metadata of the hitting action of the hitter when applying the hitting energy, and the hitting action storing such metadata. The metadata storage means may be implemented using a known storage device.

FIG. 10 is a two-dimensional mapping of the hitting motion metadata group, with the ΔP relative value in Table 7 on the vertical axis and the ΔQ relative value in Table 8 on the horizontal axis. In other words, it is a collection of information plotted by collecting a large number of hitting motion metadata A, B, C, D, E, F, G, H, I, and how each motion was reflected in the ΔP relative value and ΔQ relative value as a result, corresponding to the ΔP - ΔQ coordinates in Fig. 10.

FIG. 11 is an enlarged view of the [Motion A-I Synthesis] in which the hitting motion metadata A-B-C-D-E-F-G-H-I is superimposed and synthesized on the right end of the A-B-C-D-E-F-G-H-I two-dimensional map group of the motion metadata in FIG. FIG. 11 functionally visualizes the database that associates (2) the numerical value of the acceleration difference with the hitting motion metadata.

In FIG. 11, the point indicated by "70/60" indicates that the motion metadata D is associated with the acceleration difference values ΔP=70 and ΔQ=60. According to FIG. 11, which visualizes the database, when it is desired to apply impact energy to the object to be impacted by the impact tool, the change in the numerical values ΔP=70 and ΔQ=60 of the difference in acceleration is measured. All you have to do is pull out the metadata D and present it to the hitter. It will be obvious that other values of difference ΔP, ΔQ can be similarly derived and presented to the hitter.

<Supplement: Specific method that the hitter can recognize>
First, the term “modality” is explained in the table below.

<Modality>
The information communication technology term "modality" is described. "Modality" is often used but has no formal definition. As for how to use it, there are descriptions in papers, etc. that it mainly distinguishes between light, sound [voice], and mechanical vibration, which are sensed by the visual, auditory, and tactile senses of the sensory organs, and that these are measurement targets with different modalities. be. Smell, taste, and sixth sense are also considered to be extensions of modalities, but there are still few papers describing that smell, taste, and sixth sense are modalities because the measurement technology has not yet been established.

Here, light, sound [voice], and mechanical vibration are a large category M1, and minor species categorized in M1 are M2; Such a state is called the "selected state" M3 of the submodality M2, respectively. Specific examples thereof are specified in the table above.
It is desirable to have a route to notify the hitter in multiple and diverse modalities regarding the specific method for "the hitter can recognize".

<Alert to Modalities and Humans>
In order to supplement the fact that "it is desirable to have a route for notifying the hitter by a plurality of diverse modalities", "modality" and alerting to humans will be explained. In human society, the red and blue lights of police cars, flashing lights at construction sites, and the sounds [voices] that call attention in human society are the beeping sound of police cars and ambulances, and the gate has been closed. Examples include the ticking sound of time.

These lights and sounds [voices] are unusual lights and sounds [voices], that is, combinations of red and blue that are not seen in everyday life, blinking flashes, beeping sounds that are not heard in everyday life, and loud sounds. the other. I can't think of a mechanical vibration to call attention in human society. It's not appropriate, but if I'm forced to say it, it would be to scare away perverts by vibrating your body on a crowded train just like this bastard.

There is also a psychological theory that the poverty extortion vibration is a compensatory act of an unpopular person who is not accepted by others. In other words, in order to alert others, the modalities of light, sound [voice], and mechanical vibration, which are unusual and unexpected, modalities [M1], submodalities [M2], and submodality selection states [M3]. ] to others is effective. Examples of this are red and blue combinations that are not seen in everyday life, blinking flashes, beeping sounds that are not heard in everyday life, and ringing sounds that call attention.

Therefore, if you have notification paths for many modalities, the above-mentioned alerting effect will be greatly enhanced. It is desirable to have a route to notify the hitter. In FIGS. 4 and 5, it is very desirable that the signaling of the signal generator is done in multiple modalities, visual and auditory.

.

Advantages of individual features of the present invention have been described where features are described herein. Re-descriptions are omitted. Generally speaking, the effect of the present invention is to thoroughly review the non-quantitative teaching of conventional batting instruction, such as apprenticeship, top-down, and athletics, and a new era of batting with meaningful quantitative backing. I am convinced that it has the effect of giving an opportunity to replace the instruction.

Here, "meaningful and quantitatively backed batting guidance for a new era" is realized by a gadget having an IoT (Internet of Things) function, which is the system configuration means of the present invention. In other words, the on-site introduction of this system was the impetus for making it possible to upload from the field of batting instruction so that more quantitative data could be processed by computer.

(a) Wood of golfer KAORI, (b) Forehand of tennis player MARI Lefty slugger RIKA's slugging to the right field Craftsman "Chinbyo" TOUKO's "Shintobu" hit with a hammer (a1)>(a2)>(a3) System block diagram of the present invention System block diagram 2 of the present invention Preferred examples of signal generator perceivable by the hitter [see Table 3X] Preferred example of signal generator perceivable by hitter [see Table 4X] Preferred example of signal generator perceivable by hitter [see Table 5X] Preferred example of signal generator perceivable by hitter [see Table 6X] Plot motion metadata in acceleration [ΔP, ΔQ] table [database creation 1] Summarize the motion metadata accumulation group in the acceleration [ΔP, ΔQ] table [Fig. 10 continued] A flow chart of how to tilt or reorient a plane How to find the surface inclination angle or hitting direction angle θ1 from Ri-Ci_data

Im: Impacter
Si: Surface of the impact
Pi: Point of the impact [sweet spot]
Ti: Tool for the impact

P: one direction in the striking plane, the acceleration vector in that direction
Q: other direction in the striking plane perpendicular to P, the direction acceleration vector
R: Perpendicular to the striking surface [flying/moving direction of the hit object], acceleration vector in that direction
[[P]]: Magnitude of the acceleration vector measured in one direction in the striking plane
[[Q]]: magnitude of the acceleration vector measured in the other direction in the striking plane orthogonal to P
[[R]]: Magnitude of the acceleration vector measured perpendicular to the striking surface ΔP: [[P]] of the next hit - [[[P]] of the previous hit, or the value ΔP of the formula shown below: [[P]] of the next blow - [[P]] of the pre-registered blow
ΔQ: Next hit [[Q]] - [Previous hit [[Q]], or the value of the formula shown below ΔQ: Next hit [[Q]] - Pre-registered hit [[Q]]]
ΔR: Next hit [[R]]] - [Previous hit [[R]], or the value of the formula shown below ΔR: Next hit [[R]]] - Pre-registered hit [[R]] ]
Pi: Data of acceleration vector P [i=1,2,3・・・N]
Qi: Data of acceleration vector Q [i=1,2,3・・・N]
Ri: Data of acceleration vector R [i=1,2,3・・・N]
Ai: Actual value of Pi in a model hit or assumed value as a model hit
Bi: Actual measured value of Qi in model strike or assumed value as model strike
Ci: Measured value of Ri in a model hit or assumed value as a model hit

A: Acceleration sensor installed on striking tool Ti
A1: High-speed video imaging means for acceleration measurement
B: A means of receiving acceleration data from A
C: A processor that generates information for the hitter from B's data
C1: Means to get the acceleration from the moving image of A1
D: A means of transmitting the information of C to the signal generator E
E: A signal generator perceivable by the hitter, e.g. F
F: A signal generator that combines a viewer and a speaker in Non-Patent Document 5

Now, how to obtain θ1 and θ2 will be described below using the formulas (1), (2), (2′) , (3-1), and (3-2).

Arranging (2) with respect to θ1 and θ2 gives (3-1)(3-2) . (2') because the magnitude of the acceleration does not change even if the coordinates are transformed . If there are enough N numbers from these , it is possible to statistically obtain likelihood values for θ1 and θ2.

(a) Wood of golfer KAORI, (b) Forehand of tennis player MARI Lefty slugger RIKA's slugging to the right field Craftsman "Chinbyo" TOUKO's "Shintobu" hit with a hammer (a1)>(a2)>(a3) System block diagram of the present invention System block diagram 2 of the present invention Preferred examples of signal generator perceivable by the hitter [see Table 3X] Preferred example of signal generator perceivable by hitter [see Table 4X] Preferred example of signal generator perceivable by hitter [see Table 5X] Preferred example of signal generator perceivable by hitter [see Table 6X] Plot motion metadata in acceleration [ΔP, ΔQ] table [database creation 1] Summarize the motion metadata accumulation group in the acceleration [ΔP, ΔQ] table [Fig. 10 continued] A flow chart of how to tilt or reorient a plane

FIG. 12 is a flow chart showing the method of the present invention. As shown in the figure, the flow includes collection of acceleration data (Pi.Qi, Ri) [i = 1, 2, 3 ... N] of the model hit, and N data according to the specification (3) Calculation of angles θ1 and θ2, acquisition and analysis of batting data in a new coordinate system that rotates the original coordinate system by θ1 and θ2, generation of information [signals] to the batsman, suggestion of actions to the batsman, etc. Includes execution blocks. It is a thing. Each time the type of hitting to be practiced is changed, θ1-θ2 are changed based on the model hitting data, and the flow is such that it is possible to adapt to the unique “knack” of hitting for that type of hitting. Here, the hitting types are, for example, [Shot without energy loss in the hitting surface], [Loose drive Shot], [Tight drive Shot], [45 degree drive Shot], which are exemplified as practice targets in Tables 3-4-5. ] and so on.

Claims (7)

A system comprising acceleration measuring means for measuring the transmission and reception of the impact energy as acceleration when the impact energy is continuously applied to the object to be impacted by the impact tool, and a signal generator for generating a signal recognizable by the impacter,
The acceleration measuring means measures the acceleration in the plane for transferring the impact energy, and the acceleration in the plane for transferring the impact energy of the first impact and the acceleration in the plane for transferring the impact energy of the next impact. A striking assistance system in which the signal generator generates a signal based on the difference. A system comprising acceleration measuring means for measuring the transmission and reception of the impact energy as acceleration when the impact energy is continuously applied to the object to be impacted by the impact tool, and a signal generator for generating a signal recognizable by the impacter,
The acceleration measuring means measures the acceleration perpendicular to the plane for transmitting and receiving the impact energy, and measures the acceleration perpendicular to the plane for transmitting and receiving the impact energy of the first impact and the acceleration perpendicular to the surface for transmitting and receiving the impact energy of the next impact. A hitting support system in which the signal generator generates a signal based on the difference from the acceleration. A system comprising acceleration measuring means for measuring the transmission and reception of impact energy as acceleration when impact energy is applied to a target object by a impact tool, and a signal generator for generating a signal recognizable by the impacter,
The acceleration measuring means measures the acceleration in the plane through which the impact energy is transferred, and the difference between the measured acceleration in the plane through which the impact energy is transferred and the acceleration in the plane through which the impact energy is transferred is registered in advance. a hitting support system in which the signal generator generates a signal based on the A system comprising acceleration measuring means for measuring the transmission and reception of impact energy as acceleration when impact energy is applied to a target object by a impact tool, and a signal generator for generating a signal recognizable by the impacter,
The acceleration measuring means measures the acceleration perpendicular to the plane of impact energy transfer, and the measured acceleration perpendicular to the impact energy transfer surface and the pre-registered acceleration perpendicular to the impact energy transfer surface. A hitting support system in which the signal generator generates a signal based on the difference between . The surface for transmitting and receiving impact energy described in claims 1 to 4 is a surface for transmitting and receiving impact energy determined in advance by model impact performed using the impact tool,
The system, wherein the acceleration measuring means for measuring the transfer of impact energy as acceleration measures the transfer of impact energy on the impact energy transfer surface determined by the model impact as acceleration. The direction of acceleration of the acceleration measuring means for measuring the transfer of impact energy as acceleration according to any one of claims 1 to 4 is a direction determined in advance by a model impact performed using the impact tool,
The system according to claim 1, wherein the acceleration measuring means for measuring the transfer of impact energy as acceleration measures the acceleration in the direction determined by the model impact. A hitting motion metadata storage means for storing metadata of the hitting motion of the hitter when applying the hitting energy according to any one of claims 1 to 4, and a numerical value of the acceleration difference and the hitting motion. Equipped with a database associated with metadata,
A system for extracting from the database and presenting to the hitter the hitting action metadata associated with the numerical value, when the hitting tool wants to apply the hitting energy whose change in the numerical value of the difference in acceleration is measured to the object to be hit. .

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