Swing analysis device and swing analysis method

Abstract

To provide a swing analysis device and a swing analysis method capable of analyzing a behavior of a hitting tool.SOLUTION: A swing analysis device 1 for analyzing a swing of a hitting tool comprises: an acquisition unit 14a for acquiring measurement data obtained by measuring a behavior made when a player swings the hitting tool; a calculation unit 14b for calculating time-series hitting tool behavior data for identifying the behavior of the hitting tool, from the measurement data; and an extraction unit 17 for extracting a swing index from the hitting tool behavior data. The extraction unit 17 includes a developing unit 17b which develops the hitting tool behavior data to an orthogonal mode.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a swing analysis device and a swing analysis method. [Background technology]

[0002] In recent years, systems and methods have been proposed for measuring, evaluating, diagnosing, etc. the behavior of golf clubs or golf club heads as an example of hitting tools. For example, the following Patent Document 1 describes a method of quantifying check points at multiple swing postures (address, top, impact, etc.) set between address and impact, and diagnosing the swing by comparing them with ideal values ​​input in advance. Also, the following Patent Document 2 describes a method of measuring the behavior of a club head that can estimate the time of impact and the contact point between the face and the ball. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2004-313479 A [Patent Document 2] JP 2012-170547 A DISCLOSURE OF THEINVENTION [Problem to be solved by the invention]

[0004] Conventional technology can evaluate the behavior of a hitting tool at a certain time during a swing, but cannot evaluate the continuous behavior of the hitting tool over a certain range, such as from one time to another during a swing (for example, from the top to impact during a golf swing).

[0005] The present invention has been devised in consideration of the above-mentioned circumstances, and has as its main object to provide a swing analysis device and a swing analysis method that are capable of analyzing the behavior of a hitting tool within an arbitrarily determined section. [Means for solving the problem]

[0006] The present invention is a swing analysis device for analyzing the swing of a hitting tool, and includes an acquisition unit for acquiring measurement data measuring the behavior of a player when swinging the hitting tool, a calculation unit for calculating time-series hitting tool behavior data that specifies the behavior of the hitting tool from the measurement data, and an extraction unit for extracting swing indicators from the hitting tool behavior data, and the extraction unit includes a development unit that develops the hitting tool behavior data into orthogonal modes. Effect of the Invention

[0007] The swing analysis device and swing analysis apparatus of the present invention are capable of analyzing the behavior of a hitting tool within an arbitrarily determined section. [Brief description of the drawings]

[0008] [Figure 1] 1 is an overall configuration diagram of a swing analysis system according to an embodiment of the present invention; [Diagram 2] 4 is a flowchart showing an example of a procedure of a swing analysis method according to the present embodiment. [Diagram 3] FIG. 1 is a block diagram showing an example of a swing analysis device. [Figure 4] FIG. 2 is a partial plan view of a golf club with markers attached. [Diagram 5] FIG. 1 is a front view of a player in an address position. [Figure 6] FIG. 1 is a schematic diagram of a player's left arm holding a golf club. [Figure 7] 13 is a flowchart showing an example of a procedure for extracting a swing indicator. [Figure 8] 13 is a graph showing a swing vector and first, second and third principal component vectors. [Figure 9] 1 is a graph showing swing vectors of two types of golf clubs having different shaft masses and their first, second and third principal component vectors. [Figure 10]10 is a graph showing the X-component, the Y-component, and the Z-component of the first, second, and third principal component vectors of the swing of FIG. 9. [Figure 11] 10 is a graph showing eigenvalues ​​of the first, second and third principal component vectors of the swing of FIG. 9. [Figure 12] 13(A) and (B) are diagrams illustrating the change in swing plane. [Figure 13] This is a diagram showing the four components of a quaternion. [Figure 14] 10 is a graph showing four components of a quaternion of the swing of FIG. 9. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, an embodiment of the present invention will be described. The specific configurations described in the following embodiment are for understanding the contents of the present invention, and the present invention is not to be interpreted as being limited to these specific embodiments.

[0010] [Swing analysis system] Fig. 1 shows an overall configuration diagram of a swing analysis system 100 including a swing analysis device 1 of this embodiment. The swing analysis system 100 includes, for example, a swing analysis device 1 and a measurement device 2. The swing analysis device 1 is a device for analyzing the behavior of a hitting tool 3 during a swing. Fig. 3 shows a block diagram showing an example of the swing analysis device 1.

[0011] In the swing analysis system 100 of this embodiment, the hitting tool 3 is a golf club 30. Therefore, the swing analysis system 100 of this embodiment is preferably used for analyzing the swing of the golf club 30 of a player (golfer) 5. The following description is based on this embodiment. In other embodiments, the swing analysis system 100 of this embodiment can be used for analyzing the swing of hitting tools such as baseball bats and various rackets other than golf clubs.

[0012] [Swing analysis flow] FIG. 2 is a flow chart showing the procedure of swing analysis using the swing analysis system 100 of this embodiment, and the outline of the procedure is as follows. Step S1: The measurement device 2 measures the behavior (measurement data) of the player 5 when he swings the hitting tool 3. Step S2: The swing analysis device 1 acquires measurement data. Step S3: The swing analysis device 1 calculates time-series hitting tool behavior data that specifies the behavior of the hitting tool 3 from the measurement data. Step S4: A swing analysis device 1 extracts swing indices from time-series hitting tool behavior data.

[0013] Detailed analysis of the behavior of the hitting tool (golf club) 3 during a swing over a certain time range has the advantage of being useful for various applications, such as fitting a hitting tool (shaft and / or golf club head) suitable for the swing, improving the player's swing form, and further product development of hitting tools. Below, the swing analysis device 1 of this embodiment, the swing analysis system 100 including the same, the swing analysis method, etc. will be described in detail in the order of the above steps S1 to S4.

[0014] [Swing measurement (S1)] As shown in Fig. 1, the swing of the golf club 30 is measured by, for example, measuring the actual swing of the golf club 30 by the player 5. Generally, the swing of the player 5 includes an address, a top, an impact, and a finish in that order. In the present embodiment, the swing is measured, for example, over the entire swing section from the address to the finish at a predetermined short sampling period (for example, 500 Hz). Note that, in order to eliminate the influence on the swing at the time of ball impact, the ball 6 may be a soft ball such as a sponge ball instead of an actual golf ball.

[0015] The player 5 may be any of a variety of players whose swings are to be analyzed. Therefore, the player 5 to be measured is not particularly limited.

[0016] Fig. 4 shows a typical golf club 30. As shown in Fig. 1 and Fig. 4, the golf club 30 includes a shaft 31, a golf club head 32 fixed to one end of the shaft 31, and a grip 33 (shown in Fig. 1) fixed to the other end of the shaft 31. In this example, a wood type golf club is shown, but the golf club 30 is not limited to the wood type, and various types such as an iron type or a putter type can be used.

[0017] In another example, the golf club 30 may be provided with a club head attachment / detachment mechanism. Such a golf club 30 may be equipped with a club head that is normally used by the player as the golf club head 32. This helps the player to perform a normal swing.

[0018] The golf clubs 30 used for swing measurement may be one type, or two or more types with different characteristics. In the latter case, for example, the shaft mass, kick point, etc. may be made different. Measuring the swing of two or more types of golf clubs 30 is particularly desirable in that changes in swing behavior due to changes in club characteristics can be analyzed.

[0019] For measuring the swing, various methods and devices may be adopted based on the state of the art at the time of filing of this application, so long as they can measure the swing, which is the time-series behavior of the golf club 30. The following embodiment is merely an example of swing measurement, and the measurement of the swing is not limited to such an embodiment.

[0020] [Measuring equipment] In this embodiment, the swing is measured using a measuring device 2 as shown in FIG. 1. The measuring device 2 is, for example, an optical motion capture system. In this system, for example, a plurality of reflective markers 2C attached to a golf club 30 or a player 5, a plurality of cameras 2A, and a computer 2B are used. When the player 5 swings the golf club 30, the reflective markers 2C are captured by the plurality of cameras 2A. The computer 2B of the motion capture system collects video data captured by each camera 2A, analyzes the data using image processing and triangulation, and calculates the three-dimensional coordinates of each reflective marker 2C. As a result, the time-series three-dimensional coordinates of the golf club 30 during the swing can be obtained as measurement data.

[0021] In this embodiment, the reflective markers 2C are fixed to the golf club head 32 and the player 5. As shown in Fig. 4, reflective markers 2C1 and 2C2 are fixed to the toe side and heel side of the golf club head 32. Also, as shown in Fig. 5, reflective markers 2C3 and 2C4 are fixed at the left wrist position of the player 5. Note that reflective markers may be provided on the grip 33 of the golf club 30 instead of at the left wrist position of the player 5.

[0022] 1, the coordinate system for measuring a swing has an origin O set at the center of the ball 6 to be hit. The X-axis is set in the direction from the back to the stomach of the player 5 in the address position (this direction is positive), the Y-axis is set in the direction of the target flight line of the ball 6 (this direction is positive), and the Z-axis is set in the vertical upward direction (this direction is positive).

[0023] [Acquisition of measurement data (S2)] The swing measurement data is provided from the measurement device 2 to the swing analysis device 1 via a communication line, wirelessly, a storage device, etc. This allows the swing analysis device 1 to acquire the measurement data.

[0024] The swing analysis device 1 is configured, for example, using a general-purpose computer, as exemplified in Fig. 1. The computer includes, for example, a desktop computer, a notebook computer, a tablet computer, and a smartphone. The swing analysis device 1 is configured by installing a swing analysis program in these computer devices. The swing analysis program functions to cause the swing analysis device 1 to execute the operations described below based on the measurement data provided by the measurement device.

[0025] [Swing analysis device] Fig. 3 is a block diagram of the swing analysis device 1 of this embodiment. As shown in Fig. 3, the swing analysis device 1 includes, for example, a display unit 11, an input unit 12, a storage unit 13, a control unit 14, and a communication unit 15. These units are connected via a bus line 16 so as to be able to communicate with each other.

[0026] The display unit 11 is composed of, for example, a display, a printer, etc. The display unit 11 displays the swing analysis results, etc., as visual information to the user. The user may be any person who requires the analysis results of a golf swing, such as a player whose swing has been measured, an instructor, or a developer of golf equipment.

[0027] The input unit 12 is composed of a mouse, a keyboard, a touch panel, etc. The swing analysis device 1 can receive operations, instructions, etc. from a user via the input unit 12.

[0028] The storage unit 13 is configured with a non-volatile memory such as a hard disk, an SSD, etc. The storage unit 13 stores a swing analysis program 13a, measurement data 13b received from the measurement device 2, and other necessary information.

[0029] The control unit 14 is composed of, for example, a CPU, a ROM, a RAM, etc. (all not shown). The control unit 14 functions to read the swing analysis program 13a from the storage unit 13 and execute a predetermined process. As a result, the control unit 14 virtually functions as an acquisition unit 14a, a calculation unit 14b, a display control unit 14c, an extraction unit 17, etc. (details will be described later).

[0030] The communication unit 15 is an interface for transmitting and receiving data to and from an external device such as the measurement device 2.

[0031] In the swing analysis device 1 of the present embodiment, the acquisition unit 14a acquires the measurement data via the communication unit 15.

[0032] [Calculation of time-series data on hitting tool behavior (S3)] The swing analysis device 1 calculates, from the acquired measurement data, time-series hitting tool behavior data that specifies the behavior of the golf club 30. The hitting tool behavior data refers to time-series data obtained by removing the body and arm movements of the player 5 during the swing from the measurement data and extracting only the behavior of the golf club 30. In this embodiment, such hitting tool behavior data is calculated by a calculation unit 14b of the swing analysis device.

[0033] FIG. 6 is a schematic diagram of the left arm 5L of a player swinging a golf club 30. The calculation unit 14b calculates the coordinates of the midpoint of the line segment connecting the reflective markers 2C1 and 2C2 of the golf club head 32 from the coordinates of the reflective markers 2C1 and 2C2 of the golf club head 32 for each coordinate data of the measurement data at each time as the representative point Hc of the golf club head 32. Similarly, the calculation unit 14b calculates the coordinates of the midpoint of the line segment connecting the reflective markers 2C3 and 2C4 fixed to the player's left wrist from the coordinates of the representative point Lc of the player's left wrist. Then, the swing vector SV is obtained by subtracting the coordinates of the representative point Lc of the player's left wrist from the coordinates of the representative point Hc of the golf club head 32. Therefore, the hitting tool behavior data is time series data of the swing vector SV directed from the coordinates of the representative point Lc of the player's left wrist to the coordinates of the representative point Hc of the golf club head 32. The reason why the origin of the hitting tool behavior data is the representative point Lc of the player's left wrist is because this position can be regarded as a position corresponding to the grip end of the golf club 30. Also, while the present embodiment is described for a right-handed player, it should be noted that in the case of a left-handed player, the representative point of the right wrist is set as the origin of the swing vector SV. Also, data in which the coordinates of the golf club 30 being swung are projected onto a local coordinate system (x-yz in FIG. 6) with the representative point Lc of the player's left wrist as the origin may be used as the hitting tool behavior data.

[0034] [Swing vector extraction range] The swing of the golf club 30 goes through the process of address, backswing, top, downswing, and impact in chronological order. The address refers to the stationary state (see FIG. 1) immediately before the player 5 starts swinging. The backswing is the action of lifting the golf club 30 from the address. The action of swinging the golf club 30 down thereafter is called the downswing. The top is the timing when the backswing switches to the downswing. After the top, the moment when the vector from the player's left elbow toward the representative point Lc of the left wrist becomes parallel to the ground is called "down 9 o'clock" like the hands of a clock. The impact is the timing when the golf club head comes into contact with the ball after down 9 o'clock. The moment of down 9 o'clock can be identified by fixing a reflective marker (not shown) to the left elbow of the player 5.

[0035] The analysis of this embodiment can evaluate the behavior of the golf club in the section from the first time to the second time during the swing. This section can be arbitrarily set as the section during the swing where analysis is desired. In this embodiment, attention is focused on the section from the top (first time) to the impact (second time) as a range that has a particular effect on the swing, and the above-mentioned swing vector SV is extracted in time series in this section. In other embodiments, the swing vector SV may be extracted in the section from the address to the top, for example.

[0036] [Extraction of swing indicators (S4)] Next, the swing analysis device 1 extracts swing indicators from the time-series hitting tool behavior data from the top to the impact. In order to extract the swing indicators, the swing analysis device 1 of this embodiment expands the hitting tool behavior data into orthogonal modes. The mode means the characteristics of the data, and such expansion can be performed, for example, by principal component analysis, eigenvalue analysis, or singular value decomposition. These expansion methods can convert data into a new coordinate system and project the data into orthogonal modes (principal components or eigenvalue vectors). In the following description, principal component analysis (including eigenvalue analysis) is used as an example to expand the hitting tool behavior data into orthogonal modes. Principal component analysis is a statistical analysis method that finds the direction (principal component vector) and eigenvalues ​​that maximize the variance of a data matrix. By performing principal component analysis on the hitting tool behavior data, principal component vectors and / or eigenvalues ​​can be found as swing indicators that quantitatively identify the continuous behavior during the swing of the golf club, and these can be used to compare and evaluate swings.

[0037] FIG. 7 shows an example of a process procedure of principal component analysis for extracting swing indexes. As shown in FIG. 7, in this embodiment, first, the hitting tool behavior data is standardized (S41). This process is executed, for example, by the standardization unit 17a of the extraction unit 17 of the swing analysis device 1. The standardization unit 17a of this embodiment performs standardization using, for example, the following formula 1 so that the average of the hitting tool behavior data is 0 and the variance is 1. Note that the specific method of standardization is not limited to the method of formula 1, and various methods can be adopted. For example, the hitting tool behavior data may be standardized so that the variance is left as it is and the average is 0.

[0038]

number

[0039] Next, a variance-covariance matrix is ​​created from the standardized hitting tool behavior data (S42). The variance-covariance matrix S is expressed by the following Equation 2. This process is executed by the expanding unit 17b of the extracting unit 17 of the swing analysis device 1, for example.

[0040]

number

[0041] Next, the eigenvalues ​​and principal component vectors (eigenvectors) of the variance-covariance matrix S are calculated (S43). Specifically, the eigenvalue λ and principal component vector ν of the following equation 3 are calculated (eigenvalue analysis). These eigenvalue λ and principal component vector ν are examples of swing indices. This process is executed, for example, by the index calculation unit 17c of the extraction unit 17 of the swing analysis device 1. The principal component vector represents the distribution of position data of the golf club head during a swing (direction of head behavior). Furthermore, the eigenvalue indicates how much data there is in the direction of the corresponding principal component vector.

[0042]

number

[0043] The eigenvalues ​​and principal component vectors, which are swing indices calculated by the index calculation unit 17c, are stored in the storage unit 13. Furthermore, these swing indices can be displayed on the display unit 11 in various forms by the display control unit 14c.

[0044] FIG. 8 is a graph showing the trajectory of the swing vector and the mutually orthogonal first, second and third principal component vectors V1, V2 and V3 for a golf club swing of a certain player. In FIG. 8, XYZ is the coordinate system at the time of measurement. In the trajectory of the swing vector, point P1 indicates the position of the representative point Hc of the golf club head at the moment of top, point P2 indicates the moment of down at 9 o'clock, and P3 indicates the moment of impact. From FIG. 8, it can be seen that the swing vector is plotted on a plane defined by the first principal component vector V1 and the second principal component vector V2. The third principal component vector is almost orthogonal to the swing plane.

[0045] Next, Tables 1 and 2 show the average contribution rates of the first and second principal components when six players swung eight times with two types of golf clubs, A and B. The shaft mass of golf club A is 60g, and the shaft mass of golf club B is 70g, and apart from that, both have the same specifications.

[0046] [Table 1]

[0047] [Table 2]

[0048] As is clear from Tables 1 and 2, the analysis results show that the cumulative contribution rate up to the second principal component exceeds 99% for all six players for both golf clubs A and B. Therefore, according to the analysis results, 99% or more of the swing vector is included in the plane defined by the first principal component vector V1 and the second principal component vector V2. Therefore, the plane defined by the first principal component vector and the second principal component vector can be regarded as the swing plane.

[0049] Here, the position data of the representative point Lc of the left wrist of the player 5 and the representative point Hc of the golf club head are measured at equal time intervals by the measurement device 2, and during the swing, the golf club head tends to decelerate toward the top and accelerate toward the impact. As suggested by this, it can be seen in Figure 8 that the swing vectors are densely distributed near the top of point P1, and the swing vectors become sparsely distributed as they approach the impact of point P3.

[0050] Furthermore, since the principal component vectors obtained by principal component analysis indicate the direction that maximizes the variance of the data, when the distribution position of the swing vector is taken into consideration, it is understood that the first principal component vector V1 points in the top direction of point P1, and the second principal component vector V2 points in the down 9 o'clock direction of point P2. Therefore, by examining the directions of the first principal component vector V1 and / or the second principal component vector V2, the swing trajectory of the golf club head on the swing plane from the top to the down 9 o'clock can be considered.

[0051] Fig. 9 shows the trajectories of swing vectors when a player other than the player measured in Fig. 8 swings multiple times with the two types of golf clubs A (shaft mass 60g) and B (shaft weight 70g) mentioned above, and the first, second and third principal component vectors V1, V2 and V3 as swing indicators. In each case, the dashed line corresponds to the light golf club A and the solid line corresponds to the heavy golf club B, respectively.

[0052] In the analysis result of Fig. 9, the directions of the first, second and third principal component vectors V1, V2 and V3 are slightly different from those in Fig. 8. Specifically, the first principal component vector V1 points to a position slightly ahead on the swing plane from the top position of point P1, and the second principal component vector points in the direction of the top of point P1.

[0053] Also, by looking at the swing vectors in Fig. 9, it can be seen that the swing of the player changed when the shaft mass of the golf club was changed from 60g to 70g. Specifically, it can be seen that the swing follows a trajectory with a larger radius in most of the section from the top of point P1 to the impact at point P3. However, it can be seen that in the position of the top of point P1 and the section slightly beyond that (near the position indicated by the first principal component vector), the trajectory of golf club B follows a slightly radially inward path compared to the trajectory of golf club A.

[0054] FIG. 10 is a graph showing the average values ​​of the X, Y and Z components of the first to third principal component vectors in FIG. 9. In FIG. 10 (as well as in FIG. 11 and FIG. 14 described later), the indication "light club" corresponds to golf club A, and the indication "heavy club" corresponds to golf club B. From the change in each component in FIG. 10, it can be seen that changing the shaft mass of the golf club from 60g to 70g had an effect on the player's swing. Specifically, for the first principal component, the X and Y components decrease, while the Z component increases. Also, for the second principal component, the X component decreases, while the Y and Z components increase. From these, it can be said that the swing behavior of the player changed in the direction in which the swing behavior (swing plane) stands and in the left direction with respect to the Y axis (ball flight line direction) when the shaft mass of the golf club was changed from 60g to 70g.

[0055] FIG. 11 is a graph showing the average values ​​of the eigenvalues ​​of the first, second and third principal component vectors V1, V2 and V3 in FIG. 9 as other swing indexes. From the eigenvalues ​​shown in FIG. 11, it can be seen that when the shaft mass of the golf club is changed from 60g to 70g, there is a change in the swing of this player. Specifically, when the shaft mass of the golf club is changed from 60g to 70g, the eigenvalue (data) of the first principal component decreases, and the eigenvalues ​​of the second and third principal components increase. FIGS. 12(A) and (B) show a schematic diagram of the change in the swing plane caused by an increase in the shaft mass based on the above results. As shown in FIG. 12(A), it can be seen that when viewed on the YZ plane, the swing plane changes so as to shrink in the direction of the first principal component vector V1 and expand in the direction of the second principal component vector V2. Similarly, as shown diagrammatically in FIG. 12(B), when viewed on the XZ plane, it can be seen that the swing plane has a large deviation in the normal direction of the swing plane.

[0056] In the example of the processing procedure in FIG. 7, a quaternion is further calculated from the first to third principal component vectors as a swing index different from the above (S44).

[0057] As shown in Fig. 13, the quaternion is a method of expressing rotation and orientation in a three-dimensional space. As the orientation of the first, second, and third principal component vectors in the XYZ coordinate system in Fig. 13, the quaternion is calculated from the first, second, and third principal component vectors as shown in the following formula 4. This process is executed by, for example, the index calculation unit 17c of the swing analysis device 1. Therefore, the quaternion can also quantitatively specify the continuous behavior of the player during the swing of the golf club.

[0058]

number

[0059] 14 is a graph showing components of quaternions q1 to q4 calculated from the first to third principal component vectors. In FIG. 14, the components q1 to q3 are respectively expressed by q x ~q z The component q4 corresponds to θ q It can also be seen from the quaternion shown in FIG. 14 that changing the shaft mass of the golf club from 60g to 70g caused a change in the player's swing. Specifically, the q1 and q4 components of the quaternion decreased, and the q2 and q3 components of the quaternion increased.

[0060] Note that, instead of the quaternion, Euler angles or a rotation matrix may be used to represent the orientations of the first, second, and third principal component vectors.

[0061] Although the embodiment of the present invention has been described in detail above, the present invention is not limited to the above specific disclosure, and can be implemented with various modifications within the scope of the technical idea described in the claims. For example, the hitting tool behavior data may be expanded into orthogonal modes by known singular value decomposition instead of principal component analysis. In singular value decomposition, the data matrix is ​​decomposed into three matrices, and the data can be projected into a new basis using the singular vectors therein. In this case, the larger the singular value, the more important the corresponding singular vector is.

[0062] [Note] The present invention includes the following aspects.

[0063] [Invention 1] A swing analysis device for analyzing a swing of a hitting tool, an acquisition unit for acquiring measurement data obtained by measuring a behavior of a player when swinging the hitting tool; A calculation unit for calculating time-series hitting tool behavior data that specifies the behavior of the hitting tool from the measurement data; an extraction unit for extracting a swing indicator from the hitting tool behavior data, The swing analysis device, wherein the extraction unit includes a development unit that develops the hitting tool behavior data into orthogonal modes. [Invention 2] The swing analysis device according to the first aspect of the present invention, wherein the expansion includes any one of principal component analysis, eigenvalue analysis, or singular value decomposition. [Invention 3] 3. The swing analysis device according to claim 1, wherein the developing section calculates at least one of first to third principal component vectors as the swing index. [Invention 4] 4. The swing analysis device according to any one of claims 1 to 3, wherein the development section calculates at least one of eigenvalues ​​corresponding to first to third principal component vectors as the swing index. [Invention 5] 5. The swing analysis device according to any one of claims 1 to 4, wherein the development section calculates a quaternion from first to third principal component vectors as the swing index. [Invention 6] 6. The swing analysis device according to any one of claims 1 to 5, wherein the hitting tool is a golf club. [Invention 7] A swing analysis method for analyzing a swing of a hitting tool, comprising: acquiring measurement data of a behavior of a player when swinging the hitting tool; calculating time-series hitting tool behavior data that specifies the behavior of the hitting tool from the measurement data; and extracting a swing indicator from the hitting tool behavior data. A swing analysis method, wherein the extracting step includes a step of expanding the hitting tool behavior data into orthogonal modes. [Invention 8] A swing analysis device according to claim 7, wherein the unfolding step includes any one of principal component analysis, eigenvalue analysis, or singular value decomposition. [The present invention 9] 9. The swing analysis method according to claim 7 or 8, wherein the developing step includes a step of calculating at least one of first to third principal component vectors as the swing index. [The present invention 10] 10. The swing analysis method according to any one of claims 7 to 9, wherein the unfolding step includes a step of calculating, as the swing index, at least one of eigenvalues ​​corresponding to first to third principal component vectors. [The present invention 11] 11. The swing analysis method according to any one of claims 7 to 10, wherein the unfolding step includes a step of calculating a quaternion from first to third principal component vectors as the swing index. [The present invention 12] A swing analysis program for analyzing a swing of a hitting tool, acquiring measurement data of a behavior of a player when swinging the hitting tool; A step of calculating time-series hitting tool behavior data that specifies the behavior of the hitting tool from the measurement data; A step of expanding the hitting tool behavior data into an orthogonal mode; A swing analysis program that causes a computer to execute the above. [The present invention 13] The swing analysis program according to claim 12, wherein the unfolding step includes any one of principal component analysis, eigenvalue analysis, or singular value decomposition. [Invention 14] A swing analysis system for analyzing a swing of a hitting tool, A measuring device for measuring a behavior of the hitting tool when the player swings the hitting tool; A swing analysis system comprising the swing analysis device according to any one of claims 1 to 5. [Explanation of symbols]

[0064] 1. Swing analysis device 2. Measurement equipment 2B Computer 3 Batting tools 5 Players 13a Swing Analysis Program 13b Measurement data 14a Acquisition part 14b Calculation section 17 Extraction part 17b Development part 30 Golf Clubs 100 Swing Analysis System

Claims

1. A swing analysis device for analyzing a swing of a hitting tool, an acquisition unit for acquiring measurement data obtained by measuring a behavior of a player when swinging the hitting tool; A calculation unit for calculating time-series hitting tool behavior data that specifies the behavior of the hitting tool from the measurement data; an extraction unit for extracting a swing indicator from the hitting tool behavior data, The swing analysis device, wherein the extraction unit includes a development unit that develops the hitting tool behavior data into orthogonal modes.

2. The swing analysis device according to claim 1 , wherein the unfolding includes any one of principal component analysis, eigenvalue analysis, or singular value decomposition.

3. The swing analysis device according to claim 1 , wherein the developing section calculates at least one of first to third principal component vectors as the swing index.

4. 2. The swing analysis device according to claim 1, wherein the developing section calculates at least one of eigenvalues ​​corresponding to first to third principal component vectors as the swing index.

5. The swing analysis device according to claim 1 , wherein the developing section calculates, as the swing index, a quaternion from first to third principal component vectors.

6. 6. The swing analysis device according to claim 1, wherein the hitting tool is a golf club.

7. A swing analysis method for analyzing a swing of a hitting tool, comprising: acquiring measurement data of a behavior of a player when swinging the hitting tool; calculating time-series hitting tool behavior data that specifies the behavior of the hitting tool from the measurement data; and extracting a swing indicator from the hitting tool behavior data. A swing analysis method, wherein the extracting step includes a step of expanding the hitting tool behavior data into orthogonal modes.

8. The swing analysis device according to claim 7 , wherein the unfolding step includes any one of principal component analysis, eigenvalue analysis, and singular value decomposition.

9. 8. The swing analysis method according to claim 7, wherein the unfolding step includes a step of calculating at least one of first to third principal component vectors as the swing index.

10. 8. The swing analysis method according to claim 7, wherein the unfolding step includes a step of calculating, as the swing index, at least one of eigenvalues ​​corresponding to first through third principal component vectors.

11. 8. The swing analysis method according to claim 7, wherein the unfolding step includes a step of calculating a quaternion from the first to third principal component vectors as the swing index.

12. A swing analysis program for analyzing a swing of a hitting tool, acquiring measurement data of a behavior of a player when swinging the hitting tool; A step of calculating time-series hitting tool behavior data that specifies the behavior of the hitting tool from the measurement data; A step of expanding the hitting tool behavior data into an orthogonal mode; A swing analysis program that causes a computer to execute the above.

13. The swing analysis program according to claim 12 , wherein the unfolding step includes any one of principal component analysis, eigenvalue analysis, and singular value decomposition.

14. A swing analysis system for analyzing a swing of a hitting tool, A measuring device for measuring a behavior of the hitting tool when the player swings the hitting tool; A swing analysis system comprising the swing analysis device according to any one of claims 1 to 5.

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