GOLF CLUB WEIGHT PATTERN DETERMINATION APPARATUS AND RECOMMENDATION APPARATUS
20170291064 · 2017-10-12
Assignee
Inventors
Cpc classification
A63B60/46
HUMAN NECESSITIES
A63B69/3638
HUMAN NECESSITIES
A63B60/42
HUMAN NECESSITIES
A63B69/3617
HUMAN NECESSITIES
G01B5/0023
PHYSICS
A63B2053/0491
HUMAN NECESSITIES
A63B71/0622
HUMAN NECESSITIES
International classification
Abstract
Provided is a weight pattern determination apparatus for determining, in a golf club having a head capable of mounting one or more weights in a plurality of mounting patterns, the mounting pattern suited to a golfer. The apparatus has an impact point specification unit and a pattern determination unit. The impact point specification unit specifies an impact point distribution of the golfer. The pattern determination unit determines a recommended pattern which is the mounting pattern that approximates a sweet area of the golf club to the impact point distribution. According to the first aspect of the present invention, the impact point distribution of the golfer is specified, and a mounting pattern is determined based on this impact point distribution.
Claims
1. A weight pattern determination apparatus configured to determine, in a golf club having a head capable of mounting one or more weights in a plurality of mounting patterns, the mounting pattern suited to a golfer, the apparatus comprising: an impact point specification unit configured to specify an impact point distribution of the golfer; and a pattern determination unit configured to determine a recommended pattern which is the mounting pattern that approximates a sweet area of the golf club to the impact point distribution.
2. The weight pattern determination apparatus according to claim 1, further comprising: a data acquisition unit configured to acquire measurement data obtained by measuring a swing motion of the golf club by the golfer using a measurement device, wherein the impact point specification unit is configured to specify the impact point distribution, based on the measurement data.
3. The weight pattern determination apparatus according to claim 2, wherein the measurement device includes at least one of an angular velocity sensor and an acceleration sensor attached to the golf club.
4. The weight pattern determination apparatus according to claim 1, wherein the impact point specification unit is configured to calculate a feature amount of the impact point distribution, and the pattern determination unit is configured to determine the recommended pattern, based on the feature amount.
5. The weight pattern determination apparatus according to claim 2, wherein the impact point specification unit is configured to calculate a feature amount of the impact point distribution, and the pattern determination unit is configured to determine the recommended pattern, based on the feature amount.
6. The weight pattern determination apparatus according to claim 3, wherein the impact point specification unit is configured to calculate a feature amount of the impact point distribution, and the pattern determination unit is configured to determine the recommended pattern, based on the feature amount.
7. The weight pattern determination apparatus according to claim 4, wherein the feature amount includes at least one of a position of the impact point distribution in a toe-heel direction, a position of the impact point distribution in an up-down direction, and a slope of the impact point distribution.
8. The weight pattern determination apparatus according to claim 5, wherein the feature amount includes at least one of a position of the impact point distribution in a toe-heel direction, a position of the impact point distribution in an up-down direction, and a slope of the impact point distribution.
9. The weight pattern determination apparatus according to claim 6, wherein the feature amount includes at least one of a position of the impact point distribution in a toe-heel direction, a position of the impact point distribution in an up-down direction, and a slope of the impact point distribution.
10. The weight pattern determination apparatus according to claim 1, wherein the pattern determination unit is configured to determine the recommended pattern, with reference to predetermined information for specifying, with regard to each of the plurality of mounting patterns, a position of the sweet area in a case where the mounting pattern is applied.
11. The weight pattern determination apparatus according to claim 2, wherein the pattern determination unit is configured to determine the recommended pattern, with reference to predetermined information for specifying, with regard to each of the plurality of mounting patterns, a position of the sweet area in a case where the mounting pattern is applied.
12. The weight pattern determination apparatus according to claim 3, wherein the pattern determination unit is configured to determine the recommended pattern, with reference to predetermined information for specifying, with regard to each of the plurality of mounting patterns, a position of the sweet area in a case where the mounting pattern is applied.
13. The weight pattern determination apparatus according to claim 1, further comprising: a display control unit is configured to display, on a display unit, a screen illustrating the head in a state in which the one or more weights are arranged as per the recommended pattern.
14. The weight pattern determination apparatus according to claim 1, further comprising: a display control unit is configured to display, on a display unit, a screen illustrating the head, a position of the impact point distribution on the head and a position of the sweet area in a case where the recommended pattern is applied.
15. A weight pattern recommendation apparatus configured to recommend, in a golf club having a head capable of mounting one or more weights in a plurality of mounting patterns, the mounting pattern suited to a golfer, the apparatus comprising: a first display control unit configured to display, on a display unit, a first diagram illustrating a position of an impact point distribution of the golfer on the head; and a second display control unit configured to display, on the display unit, a second diagram illustrating the head in which the one or more weights are arranged as per a recommended pattern which is the mounting pattern that approximates a sweet area of the golf club to the impact point distribution.
16. The weight pattern recommendation apparatus according to claim 15, wherein the first display control unit and the second display control unit are configured to overlay and display the first diagram and the second diagram on a same screen.
17. The weight pattern recommendation apparatus according to claim 15, further comprising: a third display control unit configured to display, on the display unit, a third diagram illustrating a position of the sweet area in a case where the recommended pattern in the head is applied.
18. The weight pattern recommendation apparatus according to claim 17, wherein the first display control unit and the third display control unit are configured to overlay and display the first diagram and the third diagram on the same screen,
19. A non-transitory computer readable medium storing a weight pattern determination program for determining, in a golf club having a head capable of mounting one or more weights in a plurality of mounting patterns, the mounting pattern suited to a golfer, the program causing a computer to execute the steps of: specifying an impact point distribution of the golfer; and determining a recommended pattern which is the mounting pattern that approximates a sweet area of the golf club to the impact point distribution, based on the impact point distribution.
20. A weight pattern determination method for determining, in a golf club having a head capable of mounting one or more weights in a plurality of mounting patterns, the mounting pattern suited to a golfer, the method comprising the steps of: specifying an impact point distribution of the golfer; and determining a recommended pattern which is the mounting pattern that approximates a sweet area of the golf club to the impact point distribution, based on the impact point distribution.
Description
BRIEF DESCRIPTION OF DRAWINGS
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DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0050] Hereinafter, a weight pattern determination/recommendation apparatus, method, and program according to one embodiment of the present invention will be described, with reference to the drawings.
1. Weight Pattern Determination/Recommendation Apparatus
[0051]
[0052] The recommendation apparatus 2 according to the present embodiment has a function of estimating the impact point (impact position) of a golf ball 43 on the face surface 51a of the head 41 when the golfer 7 swings the golf club 4 and hits the golf ball 43. More specifically, in the recommendation system 100, a sensor unit 1 is attached to a shaft 40 of the golf club 4. The recommendation apparatus 2 acquires measurement data of a plurality of swing motions by the golfer 7 measured by the sensor unit 1, and specifies the impact point distribution DA of the golfer 7 based on the acquired measurement data. Information on the specified impact point distribution DA is used in determining the recommended pattern in the recommendation apparatus 2.
[0053] Hereinafter, after describing the configurations of the golf club 4, the sensor unit 1, and the recommendation apparatus 2, the flow of processing (hereinafter, weight pattern determination/recommendation processing) for determining a recommended pattern and outputting the recommended pattern as a recommendation will be described.
1-1. Configuration of Golf Club
[0054] The golf club 4 according to the present embodiment is constituted by the shaft 40, the head 41 provided at one end of the shaft 40, and a grip 42 provided at the other end of the shaft 40, similarly to a typical golf club. The golf club 4 is, however, configured such that the center of gravity of the head 41 and, by extension, the position of the sweet area SA, is adjustable, by attaching and detaching the weights W1 to W4.
[0055] A plan view and a bottom view of the head 41 of the golf club 4 in a reference state are shown in
[0056] The face 51 has the face surface 51a for hitting the ball, and constitutes a front portion of the head 41. The crown 52 extends toward the back side from an upper edge of the face 51, and constitutes a top surface of the head 41. The sole 53 extends toward the back sides from the lower edge of the face 51, and constitutes a bottom surface and a side wall of the head 41. The hosel 54 is a region that is provided adjacent to the heel side of the crown 52, and has an insertion hole 54a into which the shaft 40 of the golf club 4 is inserted.
[0057] As shown in
[0058] Also, as shown in
[0059] Also, the center of gravity of the head 41 and, by extension, the position of the sweet area SA, can be moved to the upper side, by making the total weight of the weights W1 and W2 that are mounted in the weight ports WP1 and WP2 heavier than the total weight of the weights W3 and W4 that are mounted in the weight ports WP3 and WP4. Conversely, the position of the sweet area SA can be moved to the lower side, by making the total weight of the weights W1 and W2 lighter than the total weight of the weights W3 and W4.
[0060]
[0061] In the present embodiment, the weight of the weight W1 can be selected from 0 g (in this case, it means that the weight W1 is not attached), 4 g, 8 g or 16 g. This similarly applies to the weights W2 to W4. In the present embodiment, however, the weights are arranged such that the total weight of the weights W1 to W4 will always be 16 g to ensure that the weight of the head 41 is constant. Accordingly, 35 patterns shown in Tables 1 to 4 exist as mounting patterns of the weights W1 to W4 in the head 41.
TABLE-US-00001 TABLE 1 Mounting Pattern P1 P2 P3 P4 P5 P6 P7 P8 P9 Mounting Toe side of WP2 0 4 8 12 16 0 4 0 8 pattern of crown weights (g) Heel side of WP1 0 0 0 0 0 0 0 4 0 crown Toe side of WP3 16 12 8 4 0 12 8 12 4 sole Heel side of WP4 0 0 0 0 0 4 4 0 4 sole Relative Toe-heel −2 −2 −2 −2 −2 −1 −1 −1 −1 position of direction (d.sub.th1) sweet spot Up-down −1 −0.5 0 0.5 1 −1 −0.5 −0.5 0 (mm) direction (d.sub.ts1) Slope of Clockwise in −3 −2 0 2 3 −2 −1 −3 1 sweet area (°) front view (θ.sub.1)
TABLE-US-00002 TABLE 2 Mounting Pattern P10 P11 P12 P13 P14 P15 P16 P17 P18 Mounting Toe side of WP2 4 12 8 12 0 4 0 8 4 pattern of crown weights (g) Heel side of WP1 4 0 4 4 0 0 4 0 4 crown Toe side of WP3 8 0 4 0 8 4 8 0 4 sole Heel side of WP4 0 4 0 0 8 8 4 8 4 sole Relative Toe-heel −1 −1 −1 −1 0 0 0 0 0 position of direction (d.sub.th1) sweet spot Up-down 0 0.5 0.5 1 −1 −0.5 −0.5 0 0 (mm) direction (d.sub.ts1) Slope of Clockwise in −1 3 1 2 0 1 −1 3 0 sweet area (°) front view (θ.sub.1)
TABLE-US-00003 TABLE 3 Mounting Pattern P19 P20 P21 P22 P23 P24 P25 P26 P27 Mounting Toe side of WP2 0 8 4 8 0 4 0 4 0 pattern of crown weights (g) Heel side of WP1 8 4 8 8 0 0 4 4 8 crown Toe side of WP3 8 0 4 0 4 0 4 0 4 sole Heel side of WP4 0 4 0 0 12 12 8 8 4 sole Relative Toe-heel 0 0 0 0 1 1 1 1 1 position of direction (d.sub.th1) sweet spot Up-down 0 0.5 0.5 1 −1 −0.5 −0.5 0 0 (mm) direction (d.sub.ts1) Slope of Clockwise in −3 1 −1 0 2 3 1 2 −2 sweet area (°) front view (θ.sub.1)
TABLE-US-00004 TABLE 4 Mounting Pattern P28 P29 P30 P31 P32 P33 P34 P35 Mounting Toe side of WP2 4 0 4 0 0 0 0 0 pattern of crown weights (g) Heel side of WP1 8 12 12 0 4 8 12 16 crown Toe side of WP3 0 4 0 0 0 0 0 0 sole Heel side of WP4 4 0 0 16 12 8 4 0 sole Relative Toe-heel 1 1 1 2 2 2 2 2 position of direction (d.sub.th1) sweet spot Up-down 0.5 0.5 1 −1 −0.5 0 0.5 1 (mm) direction (d.sub.ts1) Slope of Clockwise in −1 −3 −2 3 2 0 −2 −3 sweet area (°) front view (θ.sub.1)
[0062] The amount of movement of the sweet area SA in the case where the above 35 different mounting patterns are applied is shown in Tables 1 to 4. The amount of movement of the sweet area SA is an amount of movement referenced on a predetermined state (hereinafter, reference mounting state), and, in the example of Tables 1 to 4, is an amount of movement referenced on the state of the mounting pattern P18, that is, a state in which all the weights W1 to W4 within the weight ports WP1 to WP4 are mounted so as be uniform weights. In other words, the amount of movement of the sweet area SA is a relative position of the sweet area SA with respect to the reference mounting state. Also, in the present embodiment, the relative position of the sweet area SA is represented by three indices, namely, a relative position d.sub.th1 of the sweet spot SS in the toe-heel direction, a relative position d.sub.ts1 of the sweet spot SS in the up-down direction, and a slope θ.sub.1 of the sweet area SA, as shown in Tables 1 to 4. The slope θ.sub.1 of the sweet area SA is, in the present embodiment, the slope of the principal axis of inertia of the sweet area SA. As mentioned above, the information shown in Tables 1 to 4 is information, regarding each of all the conceivable mounting patterns, for specifying the position of the sweet area SA in the case where that mounting pattern is applied.
[0063] The position of the sweet spot SS is preferably adjustable by ±0.5 mm or more in the toe-heel direction, is more preferably adjustable by ±1 mm or more in the toe-heel direction, and is still more preferably adjustable by ±2 mm or more in the toe-heel direction. Instead of or in addition thereto, the position of the sweet spot SS is preferably adjustable by ±0.5 mm or more in the up-down direction, is more preferably adjustable by ±1 mm or more in the up-down direction, and is still more preferably adjustable by ±2 mm or more in the up-down direction. Also, instead of or in addition thereto, the slope of the sweet area SA is preferably adjustable by ±0.5 degrees or more, is more preferably adjustable by ±1 degree or more, is still more preferably adjustable by ±2 degrees or more, and is still more preferably adjustable by ±3 degrees or more.
[0064]
[0065] The various configurations related to the weights described above, such as the number, mass and mounting mechanism of the weights are exemplary, and the weights can be arbitrarily configured as long as the center of gravity of the head 41 is adjustable. For example, the number of weight ports and, by extension, the number of weights mountable in the head 41, may be one, two or three, and can also be five or more. Also, the mass of the weight mountable in one weight port may be of one type. Also, the mounting mechanism of the weights can be a screw-type mounting mechanism.
1-2. Configuration of Sensor Unit
[0066] The sensor unit 1 is attached in the vicinity of the grip 42 on the shaft 40 of the golf club 4, as shown in
[0067] The accelerometer 11 and the angular velocity sensor 12 respectively measure acceleration and angular velocity in the xyz local coordinate system. More specifically, the accelerometer 11 measures accelerations a.sub.x, a.sub.y and a.sub.z in the x-axis, y-axis and z-axis directions. The angular velocity sensor 12 measures angular velocities ω.sub.x, ω.sub.y and ω.sub.z about the x-axis, the y-axis and the z-axis. This measurement data is acquired as time series data at a predetermined sampling period Δt. Note that the xyz local coordinate system is a three-axis orthogonal coordinate system that is defined as shown in
[0068] Note that the toe-heel direction, the face-back direction and the top-sole direction are defined on the basis of a reference state. The reference state is a state in which the direction in which the shaft 40 extends in contained in a plane (hereinafter, reference perpendicular plane) that is perpendicular to the horizontal plane, and the head 41 is placed on the horizontal plane at a predetermined lie angle and loft angle. The predetermined lie angle and loft angle are described in the product catalog, for example. The direction of the line of intersection of the reference perpendicular plane and the horizontal plane is the toe-heel direction, and the direction perpendicular to this toe-heel direction and parallel to the horizontal plane direction is the face-back direction. Also, the direction perpendicular to the horizontal plane is referred to as the top-sole direction. Note that, in the description of the present embodiment, unless particularly stated otherwise, “up/down” means the top-sole direction, with the top side being up and the sole side being down.
[0069] In the present embodiment, the measurement data from the accelerometer 11 and the angular velocity sensor 12 is transmitted to the recommendation apparatus 2 in real time via the communication apparatus 10. However, a configuration may be adopted in which, for example, the measurement data is stored in a storage device within the sensor unit 1, and the stored measurement data is taken from the storage device after the end of the swing motion and delivered to the recommendation apparatus 2.
1-3. Configuration of Recommendation Apparatus
[0070] The configuration of the recommendation apparatus 2 will be described, with reference to
[0071] The recommendation apparatus 2 is provided with a display unit 21, an input unit 22, a storage unit 23, a control unit 24, and a communication unit 25. These units 21 to 25 are connected via a bus line 26 and can communicate with each other. In the present embodiment, the display unit 21 is constituted by a liquid crystal display or the like, and displays information which will be discussed later to a user. Note that a user as referred to here is a general term for a person who requires analysis results, such as the golfer 7 or his or her instructor. Also, the input unit 22 can be constituted by a mouse, a keyboard, a touch panel and the like, and accepts operations on the recommendation apparatus 2 from the user.
[0072] The storage unit 23 is constituted by a nonvolatile storage device such as a flash memory or a hard disk. The measurement data that is sent from the sensor unit 1 is saved to the storage unit 23, apart from the analysis program 3 being stored therein. Also, in the storage unit 23 is stored data (hereinafter, coefficient data) 28 indicating the coefficients of a regression equation that is used in impact point estimation. The coefficient data 28 will be discussed in detail later. Also, in the storage unit 23 is stored the information shown in Tables 1 to 4, that is, predetermined information (hereinafter, sweet area specification information) 29 for specifying the position of the sweet area SA in the case where mounting patterns P1 to P35 are applied. The communication unit 25 is a communication interface that enables communication between the recommendation apparatus 2 and an external apparatus, and receives data from the sensor unit 1.
[0073] The control unit 24 can be constituted by a CPU, a ROM, a RAM and the like. The control unit 24 operates in a virtual manner as a data acquisition unit 24A, an impact point specification unit 24B, a pattern determination unit 24C, and a display control unit 24D (first to third display control units 24D1 to 24D3), by reading out and executing the analysis program 3 that is stored in the storage unit 23. The operation of the units 24A to 24D and 24D1 to 24D3 will be discussed in detail later.
2. Weight Pattern Determination/Recommendation Processing
[0074] Next, weight pattern determination/recommendation processing by the recommendation apparatus 2 will be described, with reference to
[0075] First, in step S1, measurement data that is output from the sensor unit 1 is collected. More specifically, the golf club 4 with the abovementioned sensor unit 1 is swung by the golfer 7 a large number of times. At this time, the large number of swing motions is measured by the sensor unit 1, and measurement data of the accelerations a.sub.x, a.sub.y and a.sub.z and the angular velocities ω.sub.x, ω.sub.y, and ω.sub.z during the golf swing is detected. Also, this measurement data is transmitted to the recommendation apparatus 2 via the communication apparatus 10 of the sensor unit 1. On the other hand, on the recommendation apparatus 2 side, the data acquisition unit 24A receives this data via the communication unit 25, and stores the received data in the storage unit 23. In the present embodiment, at least time series measurement data from address to finish is collected.
[0076] Note that the swing motion of a golf club generally proceeds in order of address, top, impact and finish. Address means the initial state in which the head 41 of the golf club 4 is arranged near the ball 43, and top means the state in which the golf club 4 is taken back from address and the head 41 is swung back the furthest. Impact means the state of the moment that the head 41 impacts the ball 43 after the golf club 4 is swung down from top, and finish means the state where the golf club 4 is swung through to the front after impact.
[0077] In the following step S2, the impact point specification unit 24B specifies the impact point distribution DA of the golfer 7, by estimating the impact point at the time of each swing motion, based on the measurement data obtained at step S1. In the present embodiment, coordinates (D.sub.th, D.sub.ts) of the impact point referenced on a D.sub.th-D.sub.ts plane shown in
[0078] In the following step S3, the impact point specification unit 24B calculates feature amounts of the impact point distribution DA specified at step S2. The feature amounts of the impact point distribution DA are indices representing positions of the impact point distribution DA, and, in the present embodiment, there are three, namely, a position d.sub.th2 in the toe-heel direction of the impact point distribution DA, a position d.sub.ts2 in the up-down direction of the impact point distribution DA, and a slope θ.sub.2 of the impact point distribution DA. Also, in the present embodiment, the position d.sub.th2 of the impact point distribution DA in the toe-heel direction is calculated as the D.sub.th coordinate of a center C of the impact point distribution DA, and the position d.sub.ts2 of the impact point distribution DA in the up-down direction is calculated as the D.sub.ts coordinate of the center C of the impact point distribution DA. The D.sub.th coordinate and the D.sub.ts coordinate of the center C can, for example, also respectively be the average values of the D.sub.th coordinates and the D.sub.ts coordinates of all the impact points specified at step S2, or respectively be the modes of histograms of the D.sub.th coordinates and the D.sub.ts coordinates of all the impact points specified at step S2. Note that the position (d.sub.th2, d.sub.ts2) of the center C of the impact point distribution DA that is calculated here is represented as coordinates in the D.sub.th-D.sub.ts plane whose origin is the sweet spot SS.sub.0, and is thus a relative position with respect to the sweet spot SS.sub.0, that is, a relative position with respect to the reference mounting state.
[0079] The impact points of a golfer generally have a tendency to be distributed within a substantially elliptical region that slopes downward from toe to heel. The slope θ.sub.2, which is a feature amount of the impact point distribution DA, corresponds to the slope of the long axis of this substantially elliptical region, and can also be said to be the slope of the direction in which the impact points are most widely distributed. In the present embodiment, the slope of the principal axis of inertia of the impact point distribution DA is calculated as the slope θ.sub.2 of the impact point distribution DA. The slope of the principal axis of inertia can be calculated by taking each impact point as unit mass and deriving the moment of inertia of all the impact points. Note that the slope θ.sub.2 can also be calculated as the slope of a regression line of all the impact points that is obtained by the least-squares method. The slope θ.sub.2 of the impact point distribution DA is calculated by taking a clockwise angle as positive with respect to the D.sub.th-axis.
[0080] In the following step S4, the pattern determination unit 24C determines a recommended pattern which is a mounting pattern of the weights W1 to W4 that approximates the sweet area SA of the golf club 4 to the impact point distribution DA specified at step S2. The recommended pattern is selected based on the feature amounts of the impact point distribution DA calculated at step S3, from among all the conceivable mounting patterns P1 to P35.
[0081] More specifically, at step S4, the sweet area specification information 29 in the storage unit 23, which is the information shown in Tables 1 to 4, is referenced. As already mentioned, information representing the relative position (d.sub.th1, d.sub.ts1) of the sweet spot SS in the mounting patterns P1 to P35 with respect to the position of the sweet spot SS.sub.0 is included in the sweet area specification information 29. On the other hand, information on the position (d.sub.th2, d.sub.ts2) of the center C of the impact point distribution DA with respect to the position of the sweet spot SS.sub.0 is included in the information on the feature amounts of the impact point distribution DA calculated at step S3. Accordingly, in order to approximate the sweet area SA to the impact point distribution DA, it is sufficient to select, from among the mounting patterns P1 to P35, a mounting pattern in which the position (d.sub.th2, d.sub.ts2) of the center C of the impact point distribution DA calculated at step S3 and the relative position (d.sub.th1, d.sub.ts1) of the sweet spot SS that is defined within the sweet area specification information 29 have a high degree of coincidence. For example, if the coordinates of the position of the center C calculated at step S3 are (1.2, −0.70), the mounting patterns P24 and P25 in which the relative position of the sweet spot SS is (1, −0.5) and the mounting pattern P23 in which the relative position of the sweet spot SS is (1, −1) can be selected.
[0082] In the case where there exist a plurality of mounting patterns in which (d.sub.th1, d.sub.ts1) and (d.sub.th2, d.sub.ts2) have a high degree of coincidence, these candidates are narrowed down to a mounting pattern in which a slope (θ.sub.2-θ.sub.3) obtained by reducing the slope θ.sub.2 of the impact point distribution DA calculated at step S3 so as to be referenced on the reference mounting state and a slope θ.sub.1 of the sweet area SA that is defined in the sweet area specification information 29 have a high degree of coincidence, and that mounting pattern is determined as the recommended pattern. Note that, here, the slope 0.sub.3 of the impact point distribution DA that is referenced on the toe-heel direction in the reference mounting state is stored in advance in the storage unit 23.
[0083] In the present embodiment, as described above, the recommended pattern is determined with priority given to (d.sub.th1, d.sub.ts1) and (d.sub.th2, d.sub.ts2) having a high degree of coincidence over a slope θ.sub.1 and (θ.sub.2-θ.sub.3) having a high degree of coincidence. However, this priority order may be reversed. Also, a configuration may be adopted in which, for example, an equation for calculating the degree of coincidence that is represented quantitatively and in which each of the indices is weighted, such as the following equation, is defined, and a mounting pattern in which the value given by this equation is small is selected as the recommended pattern. Note that p.sub.1 to p.sub.3 are weight coefficients.
(Degree of Coincidence)=p.sub.1|d.sub.th1-d.sub.th2|+p.sub.2|d.sub.ts1-d.sub.ts2|+p.sub.3|θ.sub.1-(θ.sub.2-θ.sub.3)|
[0084] In the following step S5, the display control unit 24D displays various screens R1 to R3 that inform the user about the impact point distribution DA and the recommended pattern on the display unit 21, based on the above computation result. Specifically, first, the first display control unit 24D1 creates the screen R1 (see
[0085] Also, the second display control unit 24D2, in response to receiving input to change the screen from the user, creates the screen R2 (see
[0086] Furthermore, the third display control unit 24D3, in response to receiving input to change the screen from the user, creates graphics N9 and N10 indicating the position of the sweet area SA in the case where the recommended pattern is applied, as shown in
2-1. Impact Point Estimation Processing
[0087] Hereinafter, the impact point estimation processing that is executed during step S2 will be described, with reference to
[0088] In step S11, the impact point specification unit 24B derives times t.sub.i, t.sub.t and t.sub.a of impact, top and address, based on the measurement data. Note that since there are various well-known algorithms for calculating the times t.sub.i, t.sub.t and t.sub.a of impact, top and address based on measurement data such as angular velocity data, a detailed description is omitted here.
[0089] In the following step S12, the impact point specification unit 24B derives time series data (analysis data) of the angular velocity ω.sub.z in an analysis period close to impact from the measurement data that is stored in the storage unit 23. An analysis period as referred to here is, in the present embodiment, a period from (time of impact t.sub.i-T.sub.1) to (time of impact t.sub.1+T.sub.2). For example, T.sub.1=1 ms and T.sub.2=15 ms can be given. Note that the analysis period may be a period from time of impact t, or may be a period after time of impact t.sub.i.
[0090] In the following step S13, the impact point specification unit 24B calculates a feature amount C.sub.th of a waveform of the analysis data of step S12 that is used in estimating an impact point D.sub.th of the ball 43 on the face surface 51a in the toe-heel direction. The feature amount C.sub.th, according to the present embodiment is the amplitude at the peak of the waveform of the analysis data of step S12.
[0091]
[0092] The inventors verified the above hypothesis through testing. As a specific description,
[0093] In the following step S14, the impact point specification unit 24B estimates the impact point D.sub.th in the toe-heel direction, according to the feature amount C.sub.th calculated at step S13. More specifically, in the present embodiment, the impact point D.sub.th is calculated, in accordance with the following equation in which the impact point D.sub.th is the objective variable and the feature amount C.sub.th is an explanatory variable.
D.sub.th=k.sub.1.Math.C.sub.th+k.sub.2
[0094] Here, the coefficients k.sub.1 and k.sub.2 are the abovementioned coefficient data 28. The values of the coefficients k.sub.1 and k.sub.2 are the values of the coefficients of a regression equation determined in advance after having performed similar testing to the verification of
[0095] In the following step S15, the impact point specification unit 24B derives time series data (analysis data) of the angular velocity ω.sub.x in an analysis period close to impact from the measurement data that is stored in the storage unit 23. An analysis period as referred to here is, in the present embodiment, a period from (time of impact t.sub.i+T.sub.3) to (time of impact t.sub.i+T.sub.4). For example, T.sub.3=5 ms and is T.sub.4=10 ms can be given. Note that the analysis period may include time of impact t.sub.i or a period prior to time of impact t.sub.i.
[0096] In the following step S16, the impact point specification unit 24B calculates a feature amount C.sub.ts of the waveform of the analysis data of step S15 that is to be used in specifying an impact point D.sub.ts of the ball 43 on the face surface 51a in the top-sole direction. The feature amount C.sub.ts according to the present embodiment is a value obtained by subtracting time t.sub.min at which the amplitude is smallest from time t.sub.max at which the amplitude is largest in the waveform of the analysis data of step S15.
[0097]
[0098] The inventors verified the above hypothesis though testing. As a specific description,
[0099] In the following step S17, the impact point estimation unit 24F estimates the impact point D.sub.ts in the top-sole direction, according to the feature amount C.sub.ts calculated at step S16. In the present embodiment, the impact point D.sub.ts is calculated, in accordance with the following equation in which the impact point D.sub.ts is the objective variable and the feature amount C.sub.ts is an explanatory variable.
D.sub.ts=k.sub.3.Math.C.sub.ts+k.sub.4
[0100] Note that the coefficients k.sub.3 and k.sub.4 are the coefficient data 28 abovementioned. The values of the coefficients k.sub.3 and k.sub.4 are the values of the coefficients of a regression equation determined in advance after having performed similar testing to the verification of
3. Variations
[0101] Although one embodiment of the present invention was described above, the present invention is not limited to the above embodiment, and various modifications can be made without departing from the spirit of the invention. For example, the following modifications can be made. Also, the gists of the following modifications can be combined as appropriate.
3-1
[0102] In the above embodiment, the sensor unit 1 is attached in the vicinity of the grip 42 of the shaft 40, but may be attached to the grip 42, or may be attached to an intermediate part of the shaft 40 or in the vicinity of the head 41. The sensor unit 1 is, however, preferably attached at a sufficient distance from the head 41, from the viewpoint of suppressing any effect the presence of the sensor unit 1 may have on the golf swing.
3-2
[0103] In the abovementioned embodiment, a sensor unit 1 having an acceleration sensor and an angular velocity sensor is used as the measurement device that measures the swing motion of the golfer 7, but the measurement device can also have other configurations. For example, one of the acceleration sensor and the angular velocity sensor can be omitted. Alternatively, a three-dimensional measurement camera can also be used as the measurement device. The impact point distribution DA can also be specified by such methods. The impact point distribution DA can also be specified while omitting the measurement device. In this case, it is sufficient to prompt the user to designate a position of the impact point distribution DA, via the display unit 21, for example. At this time, the position of the impact point distribution DA can be known by sticking pressure sensitive paper to the face surface and swinging the golf club 4.
3-3
[0104] The feature amounts C.sub.th and C.sub.ts for calculating the impact points D.sub.th and D.sub.ts are not limited to the abovementioned example. For example, acceleration data can be used instead of angular velocity data, as analysis data for deriving the feature amounts C.sub.th, and C.sub.ts. Also, the amplitude at the peak of the waveform of the angular velocity w.sub.y about the y-axis in the analysis period can be used as the feature amount C.sub.th, or an integrated value of the angular velocity ω.sub.y or ω.sub.z of a predetermined analysis period after impact can be used instead of the amplitude at the peak. Also, as the feature amount C.sub.th, the primary peak amplitude of the spectrum of the angular velocity ω.sub.z, the secondary peak amplitude of the spectrum of the acceleration a.sub.y, the secondary peak amplitude of the spectrum of the angular velocity ω.sub.x, or the maximum value of the angular velocity ω.sub.y immediately after impact (e.g., 0.1 sec after time t.sub.i) can be used. On the other hand, as analysis data for deriving the feature amount C.sub.ts, the angular velocity ω.sub.y can also be used instead of the angular velocity ω.sub.x. Also, as the feature amount C.sub.ts, the length of time from time of impact t.sub.i to the time at which the smallest peak is generated in the subsequent predetermined analysis period can be used. Further, as the feature amount C.sub.ts, the secondary peak amplitude of the spectrum of the acceleration a.sub.y, the secondary peak amplitude of the spectrum of the angular velocity ω.sub.x, the largest amplitude in a predetermined frequency band (in the vicinity of 50 to 100 Hz) of the spectrum of the acceleration a.sub.z, and the maximum value of the angular velocity ω.sub.y immediately after impact (e.g., 0.1 sec after time t.sub.i) can also be used.
[0105] The impact point can also be estimated using a multiple regression equation in which various feature amounts are explanatory variables and the impact point is the objective variable, rather than a single regression equation as in the above embodiment. Also, although a linear regression equation was used as the regression equation for deriving the impact point, a nonlinear regression equation may be used. To evaluate the nonlinearity of the relationship between the impact point and the feature amount, the following methods can be used, for example. [0106] (1) Provide a term of the power of N of a variable as an explanatory variable of a single regression equation or a multiple regression equation (N≧2). [0107] (2) Build machine learning (neural network).
[0108] Also, the inventors focused on the stress wave that occurs due to impact and passes through the shaft 40 to the sensor unit 1 as an analysis target for performing impact point estimation at impact, and devised the following algorithm for estimating the impact points D.sub.th and D.sub.ts. In particular, the inventors considered that analyzing the characteristics of the stress wave was facilitated by analyzing the waveform of the stress wave in an initial period of several milliseconds to 10 milliseconds after impact. This is because a large number of waves begin to interfere when such an initial period has passed, possibly making it difficult to capture the characteristics of the stress wave. The data of such an initial period is also superior in terms of being able to eliminate any effects arising from the golf club 4 touching the body of the golfer 7 at finish.
[0109] Here, for convenience of description, an z′-x′ plane is defined on the face surface 51a, as distinct from the abovementioned D.sub.th-D.sub.ts, plane (see
[0110] At this time, if the impact point is within the first quadrant in the z′-x′ plane, the head 41 rotates in the negative direction about the z′-axis and rotates in the positive direction about the x′-axis. If the impact point is in the second quadrant, the head 41 rotates in the negative direction about the z′-axis and rotates in the negative direction about the x′-axis. If the impact point is in the third quadrant, the head 41 rotates in the positive direction about the z′-axis and rotates in the negative direction about the x′-axis. If the impact point is in the fourth quadrant, the head 41 rotates in the positive direction about the z′-axis and rotates in the positive direction about the x′-axis.
[0111] When the head 41 rotates about the z′-axis, a stress wave caused by torsional deformation that depends on this rotation occurs in the shaft 40, and passing through the shaft 40 to reach the sensor unit 1 in the vicinity of the grip 42. Rotational movement that depends on this stress wave occurs in the sensor unit 1, and this rotational movement is detected with the angular velocity sensor 12 as the angular velocity ω.sub.z′ about the z′-axis. The angular velocity ω.sub.z′ is detected as a positive or negative value according to the rotation direction about the z′-axis. Also, the size of the angular velocity ω.sub.z′ is substantially proportional to the distance from the z′-axis to the impact point.
[0112] On the other hand, when the head 41 rotates about the x′-axis, the stress wave caused by bending deformation about the x′-axis that depends on the rotation occurs in the shaft 40, and passes through the shaft 40 to reach the sensor unit 1 in the vicinity of the grip 42. Rotational movement that depends on this stress wave occurs in the sensor unit 1, and this rotational movement is detected with the angular velocity sensor 12 as the angular velocity ω.sub.x′ about the x′-axis. However, unlike the rotation of the head 41 about the z′-axis, bending deformation will occur in the shaft 40 close to the head 41, even if the impact point is SS and the head 41 does not rotate, since the head 41 decelerates relative to the movement of the shaft 40. In other words, there is no change in the sign of the angular velocity ω.sub.x' with respect to the impact point being at the sweet spot SS. However, since the amplitude of the stress wave will be substantially proportional to the distance from the x′-axis to the impact point, the angular velocity ω.sub.x' that is detected with the angular velocity sensor 12 is also substantially proportional to the distance from the x′-axis to the impact point.
[0113] From the above, the inventors considered that the impact point can be estimated by measuring the angular velocities ω.sub.x′ and ω.sub.z′ under the influence of the stress wave of the initial period after impact. In order to verify this, the inventors performed simulation.
[0114] Also, the amplitudes of the angular velocities ω.sub.x′ and ω.sub.z′ are each dependent on the reaction force that occurs when the head 41 impacts the ball 43, and are substantially proportional to the head speed. Accordingly, the inventors considered that the impact point can be estimated with higher accuracy if an index affecting the reaction force that occurs when the head 41 impacts the ball 43, such as head speed, is known.
[0115]
[0116] It is evident from
[0117]
[0118] It is evident from
[0119] It is evident from the results of the above simulation that estimation of the impact points D.sub.th and D.sub.ts is possible if the values of the angular velocities ω.sub.x′ and ω.sub.x′ or ω.sub.x and ω.sub.z are known.
[0120] In the impact point estimation processing of
[0121] In the following step S22, the impact point specification unit 24B derives time series data (analysis data) of the angular velocities ω.sub.x and ω.sub.z in the analysis period from the measurement data that is stored in the storage unit 23. The analysis period as referred to here is a period including the initial period after impact, and, in the present embodiment, is a period from time of impact t.sub.i to (time of impact t.sub.i+T). Note that 0 sec<T≦0.01 sec is preferable, 0 sec<T≦0.005 sec is more preferable, and 0 sec<T≦0.003 sec is still more preferable, In such an analysis period, only the first wave of the stress wave that occurs due to impact appears, or up to around the third wave at most. That is, the angular velocity data of the above analysis period is data representing the characteristics of the stress wave before a large number of waves cause interference. Note that the initial period of the analysis period need not be time of impact t.sub.i, and the analysis period can, for example, be set to (time of impact t.sub.i+T.sub.0) to (time of impact t.sub.i+T). Note that 0<T.sub.0<T. The analysis period can also be set such that only a period after time of impact t.sub.i is included, or such that a period before time of impact t.sub.i is included. Note that in the measurement data obtained when a club is actually swung, the data of the angular velocities ω.sub.x' and ω.sub.z′ of the stress wave caused by impact is superimposed on the data of the angular velocities resulting from the swing from address to finish. Accordingly, in deriving analysis data, it is preferable to extract the data of the stress wave, which is a high frequency component, by applying a highpass filter to the measurement data. The characteristics of the angular velocities ω.sub.x′ and ω.sub.z′ of the stress wave caused by impact can thereby be evaluated with higher accuracy. It is, however, also possible to evaluate the characteristics of the angular velocities ω.sub.x′ and ω.sub.z′ of the stress wave resulting from impact, by directly evaluating ω.sub.x and ω.sub.z. In this sense, hereinafter, the data of the angular velocities ω.sub.x and ω.sub.z after passing through the highpass filter is represented using ω.sub.x and ω.sub.z, rather than ω.sub.x′ and ω.sub.z′.
[0122] In the following step S23, the impact point specification unit 24B calculates a feature amount C.sub.1 based on the analysis data derived at step S22. The feature amount C.sub.1 is an index that is dependent on the impact point, and represents the characteristics of the initial stress wave that occurs due to impact, and, in the present embodiment, is the maximum value or the minimum value (peak amplitude) of the angular velocity co, in the analysis period.
[0123] Similarly, in the following step S24, the impact point specification unit 24B calculates a feature amount C.sub.2, based on the analysis data derived at step S22. The feature amount C.sub.2 is an index that is dependent on the impact point, and represents the characteristics of the early stress wave that occurs due to impact, and, in the present embodiment, is also the maximum value or the minimum value (peak amplitude) of the angular velocity ω.sub.x in the analysis period.
[0124] In the following step S25, the impact point specification unit 24B corrects the feature amounts C.sub.1 and C.sub.2 calculated at steps S23 and S24, according to a head speed V.sub.h at impact. This correction is processing for respectively calculating, from the feature amounts C.sub.1 and C.sub.2, the feature amounts C.sub.1′ and C.sub.2′ from which the influence of the magnitude of the head speed V.sub.h has been canceled. That is, at step S25, the feature amounts C.sub.1 and C.sub.2 are converted into feature amounts C.sub.1′ and C.sub.2′ in the case where the head speed V.sub.r serving as a reference is exhibited. In the present embodiment, the feature amounts C.sub.1′ and C.sub.2′ are calculated, in accordance with the following equations. Note that since there are various known algorithms for calculating the head speed V.sub.h, a detailed description is omitted here.
C.sub.i′=(V.sub.r/V.sub.h)C.sub.1
C.sub.2′=(V.sub.r/V.sub.h)C.sub.2
[0125] In the following step S26, the impact point specification unit 24B estimates the impact point D.sub.th on the face surface 51a in the toe-heel direction, according to the feature amounts C.sub.1′ and C.sub.2′ after correction. More specifically, in the present embodiment, the impact point D.sub.th is calculated, in accordance with the following equation in which the impact point D.sub.th is the objective variable and the feature amounts C.sub.1′ and C.sub.2′ are explanatory variables.
D.sub.th=k.sub.th0+k.sub.th1′.Math.C.sub.1′+k.sub.th2.Math.C.sub.2′
[0126] Here, k.sub.th0, k.sub.th1 and k.sub.th2 are constants and are the abovementioned coefficient data 28. As described above, according to the simulation performed by the inventors, the impact point D.sub.th is correlated with the feature amounts C.sub.1′ and C.sub.2′. Accordingly, k.sub.th0, k.sub.th1 and k.sub.th2 can be set in advance, through performing multiple regression analysis on a large number of data sets (D.sub.th, C.sub.1′, C.sub.2′) that are obtained by simulation or testing.
[0127] Similarly, in the following step S27, the impact point specification unit 24B estimates the impact point D.sub.ts of the ball 43 on the face surface 51a in the top-sole direction, according to the feature amounts C.sub.1′ and C.sub.2′ after correction. More specifically, in the present embodiment, the impact point D.sub.ts is calculated, in accordance with the following equation in which the impact point D.sub.ts is the objective variable and the feature amounts C.sub.1′ and C.sub.2′ are explanatory variables.
D.sub.tsk.sub.ts0+k.sub.ts1.Math.C.sub.1′+k.sub.ts2.Math.C.sub.2′
[0128] Here, k.sub.ts0, k.sub.ts1 and k.sub.ts2 are constants, and are the abovementioned coefficient data 28. As described above, according to the simulation performed by the inventors, the impact point D.sub.ts is also correlated with the feature amounts C.sub.1′ and C.sub.2′. Accordingly, k.sub.ts0, k.sub.ts1 and k.sub.ts2 can be set in advance through preparing a large number of data sets (D.sub.ts, C.sub.1′, C.sub.2′) by simulation or testing, and performing multiple regression analysis on these data sets.
3-4
[0129] As already mentioned, the mechanism for mounting the weights in the head is not particularly limited, and may, for example, be a slide mechanism as shown in
REFERENCE SIGNS LIST
[0130] 1 Sensor unit (measurement device)
[0131] 11 Acceleration sensor
[0132] 12 Angular velocity sensor
[0133] 2 Weight pattern determination/recommendation apparatus
[0134] 24A Data acquisition unit
[0135] 24B Impact point specification unit
[0136] 24C Pattern determination unit
[0137] 24D Display control unit
[0138] 24D1 First display control unit
[0139] 24D2 Second display control unit
[0140] 24D3 Third display control unit
[0141] 29 Sweet area specification information
[0142] 4 Golf club
[0143] 41 Head
[0144] 7 Golfer
[0145] DA Impact point distribution
[0146] SA Sweet area
[0147] SS Sweet spot
[0148] W1-W4 Weight
[0149] R1-R3 Screen