JP6054893B2 - Golf club selection method, golf club selection system, and golf club selection device - Google Patents

Description

  The present disclosure relates to a method for selecting a golf club suitable for a subject, a golf club selection system, and a golf club selection device.

  Various methods have been proposed for selecting a golf club or golf club set that is easy to swing for each golfer and easy to fly, that is, a golf club suitable for each golfer.

  For example, in Japanese Patent Laid-Open No. 2001-269425 (Patent Document 1), actual hit data such as a head speed value of a golfer is acquired, and an ideal hit ball data value of the golfer is calculated based on the actual hit data. It is shown that a golf club suitable for realizing the ideal hit ball data value is selected.

  Japanese Patent Laid-Open No. 2010-155074 (Patent Document 2) hits a golf ball with a golf club, measures at least the behavior of the golf club head before and after the hit, and based on the measured behavior of the golf club head. Thus, selecting a combination of a golf club head and a golf club shaft is shown.

  Japanese Patent Application Laid-Open No. 2012-016582 (Patent Document 3) uses a plurality of golf clubs having different values of shaft physical properties, and a face angle and a ball hitting result before or after a ball impact when a plurality of golfers swing. Is prepared, and the test subject hits the test club to obtain the face angle measurement result. Based on the relationship C1 and the face angle measurement result, the shaft physical property suitable for the test subject is obtained. It has been shown to judge.

JP 2001-269425 A JP 2010-155074 A JP 2012-016582 A

  However, in any of the above patent documents, although the measurement of the amount of side spin of a golf ball is disclosed, a detailed examination of how the specifications of a golf club affect the amount of side spin. is not. Therefore, it cannot be said that the side spin amount is sufficiently considered in selecting a golf club suitable for a golfer.

  The present disclosure has been made to solve the above-described problems, and an object thereof is to more accurately select a golf club suitable for a golfer according to a side spin amount of a golfer's hit ball. A golf club selection method is provided.

  Another object of the present invention is to provide a golf club selection system and a golf club selection device that can more accurately select a golf club suitable for a golfer according to the amount of side spin of a golfer's hit ball.

  According to an embodiment, a golf club selection method for selecting a golf club suitable for a subject is provided. The golf club selection method includes a step of measuring or calculating a side spin amount of a subject's hit ball and a plurality of golf clubs prepared in advance based on golf club spec information that affects the side spin amount of the hit ball. A step of calculating an index value serving as an index of the flight characteristic of the hit ball in the left-right direction, and for each of a plurality of prepared golf clubs, a golf club selection criterion suitable for the subject based on the index value of the golf club A plurality of golf clubs prepared in advance on the basis of the step of calculating the appropriate side spin amount to be, the appropriate side spin amount of each of the plurality of prepared golf clubs, and the measured or calculated side spin amount Selecting a golf club suitable for the subject.

  According to another embodiment, a golf club selection method for selecting a golf club suitable for a subject is provided. The golf club selection method includes a step of measuring or calculating a side spin amount of a subject's hit ball and a plurality of golf clubs prepared in advance based on golf club spec information that affects the side spin amount of the hit ball. A step of calculating an index value serving as an index of the flight characteristic of the hit ball in the left-right direction, a step of calculating an index value recommended for the subject based on the measured or calculated side spin amount, and a plurality of prepared Selecting a golf club suitable for the subject from a plurality of golf clubs prepared in advance based on the index value of each of the golf clubs and the index value recommended for the subject.

  Preferably, the spec information includes at least two of a face angle, a moment of inertia around the shaft axis, and a barycentric angle.

  Preferably, in the step of calculating the index value, at least two of the face angle, the moment of inertia around the shaft axis, and the barycentric angle are explanatory variables, and an evaluation value given to the golf club by the golfer is an objective variable. It includes calculating an index value using a regression equation obtained by performing regression analysis.

  Preferably, the regression coefficient of the face angle is −1 or more and 0 or less, the regression coefficient of the moment of inertia around the shaft axis is −1 or more and 0 or less, and the regression coefficient of the barycentric angle is 0 or more and 1 or less.

  Preferably, the regression coefficient of the face angle, the regression coefficient of the moment of inertia around the shaft axis, and the regression coefficient of the barycentric angle are changed according to the subject's impact face angle, the hit point in the toe heel direction, and the swing path.

  Preferably, the method further includes a step of measuring a head speed when the subject swings and a step of selecting a golf club having a mass suitable for the head speed.

  Preferably, the step of measuring the backspin amount of the hit ball of the subject, the correlation between the side spin amount and back spin amount of the hit ball when a golfer uses a plurality of golf clubs, and the side spin amount and back of the subject ball The index value recommended for the subject is corrected based on the spin rate.

  Preferably, the spec information further includes shaft information. The golf club selection method further includes the step of correcting the index value based on the correlation between the evaluation value given to the golf club by the golfer and the shaft information.

  Preferably, the step of measuring or calculating includes predicting a side spin amount of the hit ball of the subject based on a plurality of swing data of the subject obtained by a sensor device attached to the golf club used by the subject.

  According to yet another embodiment, a golf club selection system for selecting a golf club suitable for a subject is provided. A golf club selection system includes a measuring device capable of measuring or calculating a side spin amount of a hit ball of a subject, and a processing device that executes a process for selecting a golf club suitable for the subject using a result obtained by the measuring device With. The processing device calculates an index value that serves as an index of the flight characteristic in the left-right direction of each of the plurality of prepared golf clubs based on the golf club spec information that affects the side spin amount of the hit ball. A first storage unit that stores a first arithmetic expression for performing the calculation, and a plurality of golf clubs prepared in advance, based on an index value of the golf club obtained using the first arithmetic expression A second storage unit that stores a second arithmetic expression for calculating an appropriate side spin amount that serves as a selection criterion for a golf club suitable for the subject, and a plurality of prepared in advance obtained by using the second arithmetic expression A golf club suitable for the subject is selected from a plurality of prepared golf clubs based on the appropriate side spin amount of each golf club and the measured or calculated side spin amount. And a selection unit.

  According to yet another embodiment, a golf club selection device for selecting a golf club suitable for a subject is provided. The golf club selection device is configured to input each of a plurality of golf clubs prepared in advance based on an input unit that receives an input of a side spin amount of a subject's hit ball and spec information of the golf club that affects the side spin amount of the hit ball. For each of a plurality of golf clubs prepared in advance, a first storage unit that stores a first arithmetic expression for calculating an index value that serves as an index of the flight characteristic of the hit ball in the left-right direction, A second storage unit for storing a second arithmetic expression for calculating an appropriate side spin amount serving as a selection criterion for a golf club suitable for the subject based on the index value of the golf club obtained using the arithmetic expression; Based on the appropriate amount of side spin of each of the plurality of golf clubs prepared in advance obtained using the second arithmetic expression and the amount of side spin received by the input unit , And a selector for selecting a golf club suitable for the subject from a plurality of golf clubs, which are prepared in advance.

  In one aspect, a golf club suitable for a golfer can be selected with higher accuracy in accordance with the amount of side spin of a golfer's hit ball.

It is a figure showing the whole golf club selection system composition. It is a flowchart for demonstrating the operation | movement outline | summary of a golf club selection system. It is a figure which shows the moment of inertia around a face angle and a shaft axis. It is a figure which shows a barycentric angle. It is a flowchart which shows the other example of the golf club selection method according to this Embodiment. It is a block diagram which shows the hardware constitutions of a golf club selection apparatus. It is a figure which shows the relationship between the amount of side spins of a hit ball, and a flight distance (carry) when a plurality of golfers use a plurality of golf clubs. It is a figure for demonstrating the validity of the multiple regression type | formula calculated | required by regression analysis. It is a figure for demonstrating the calculation method of the capture coefficient (recommended capture coefficient) of the golf club suitable for a golfer. It is a figure which shows the relationship between head speed and recommended club mass. It is a figure which shows an example of the display screen of a golf club selection apparatus. It is a figure which shows the relationship (the 1) between the amount of back spins of a golfer's hit ball, and the amount of side spins, and the relationship between the amount of side spins and a flight distance (carry). It is a figure which shows the relationship (the 2) between the amount of back spins of a golfer's hit ball, and the amount of side spins, and the relationship between the amount of side spins and a flight distance (carry). It is a figure which shows the relationship (the 3) between the amount of back spins of a golfer's hit ball, and the amount of side spins, and the relationship between the amount of side spins and a flight distance (carry). It is a figure which shows the relationship between a capture evaluation value and EI200 / EI940. It is a functional block diagram of a golf club selection device. It is a flowchart which shows an example of the process sequence of a golf club selection apparatus. It is a figure for demonstrating the validity of the multiple regression type | formula calculated | required by regression analysis. It is a figure which shows the relationship between the moment of inertia around a shaft axis, and a gravity center distance.

  Embodiments of the present invention will be described below. Note that the same or corresponding portions are denoted by the same reference numerals, and the description thereof may not be repeated.

  Note that in the embodiments described below, when referring to the number, amount, and the like, the scope of the present invention is not necessarily limited to the number, amount, and the like unless otherwise specified. In the following embodiments, each component is not necessarily essential for the present invention unless otherwise specified.

<System configuration and processing procedure>
FIG. 1 shows an overall configuration of a golf club selection system according to the present embodiment.

  In the following description, a case where golf club selection device 10 according to the first embodiment is a notebook PC (Personal Computer) will be described. The golf club selection device 10 can be realized as an arbitrary device regardless of the type. For example, the golf club selection device 10 can be realized as a desktop PC, a tablet terminal device, a PDA (Personal Digital Assistance), a smartphone, or the like. The golf club selection device 10 functions as a processing device that executes processing for selecting a golf club suitable for the subject using the measurement result of the measurement device 20.

  The measuring device 20 is a device that can measure various data of the head speed and the hit ball. The various data includes the side spin amount of the hit ball, the flight distance, the back spin amount, and the ball initial velocity. Specifically, the measuring device 20 is a ballistic measuring device capable of measuring the ball trajectory using a Doppler radar and measuring these data. For example, the ballistic measuring device is a ballistic measuring device Trackman manufactured by Interactive Sports Games or a ballistic measuring device GC2 manufactured by Forestes. Other ballistic measuring devices may be used as long as the measurement accuracy is maintained.

  The golf club selection device 10 and the measurement device 20 are configured to be able to communicate with each other. For example, the golf club selection device 10 communicates with the measurement device 20 using Bluetooth (registered trademark), a wireless local area network (LAN), infrared communication, or the like. The golf club selection device 10 may be configured to be capable of wired communication using a USB (Universal Serial Bus) or the like.

  The golf club selection device 10 receives an input of a measurement result measured by the measurement device 20 and executes a process for selecting a golf club suitable for the subject. In general, a golf club suitable for a subject is selected by the following processing procedure.

  Here, a golf club selection method performed using the golf club selection system will be described.

  FIG. 2 is a flowchart showing an example of the golf club selection method according to the present embodiment. As shown in FIG. 2, the golf club selection method according to the present embodiment includes step S100 of measuring or calculating the amount of side spin of the hit ball of the subject (golfer). Step S100 is performed when the subject (golfer) swings the golf club with respect to the golf ball. Typically, step S100 is performed using the measuring device 20 (or a sensor device described later).

  It is assumed that the golf club on which the subject swings is a standard specification golf club prepared in advance on the store side. The standard-spec golf club is, for example, a golf club that tends not to generate hook spin and slice spin.

  The golf club selection method is based on the specification information of the golf club that affects the side spin amount of the hit ball, and serves as an index of the flight characteristic in the left-right direction of the hit ball for each of a plurality of prepared golf clubs. Step S110 is further included for calculating the coefficient.

  Here, in the present embodiment, the “catch coefficient” is an index value serving as an index of flight characteristics in the left-right direction (slice or hook direction) of a hit ball, and a plurality of values are obtained by a plurality of golfers (evaluators) in the past. It is calculated | required from the sensory evaluation given with respect to the golf club. Although the details will be described later, the “catch coefficient” is an evaluation value given by the golfer to each of the plurality of golf clubs, with the specification information of the golf club affecting the side spin amount of the hit ball as an explanatory variable. Derived from a prediction formula as a variable.

  As a result of intensive studies by the inventor of the present application, among the various spec information of the golf club, what affects the side spin amount includes the face angle FA of the golf club, the moment of inertia Is around the shaft axis, and the barycentric angle GA. It has been found. Step S110 is a regression obtained by performing regression analysis using the face angle FA, the moment of inertia Is about the shaft axis Is, and the barycentric angle GA as explanatory variables, and the evaluation value given to the golf club by the golfer as an objective variable. Including calculating the capture coefficient using an equation.

  The face angle FA, the moment of inertia Is about the shaft axis, and the barycentric angle GA will be described with reference to FIGS. FIG. 3 is a diagram showing the face angle FA and the moment of inertia Is around the shaft axis. FIG. 4 is a diagram showing the barycentric angle GA.

  The moment of inertia Is about the shaft axis is as shown in FIG. 3, and the face angle FA is the height of the face with respect to the sole plane when the shaft is set at the lie angle with the golf club sole. The angle between the parallel plane including the central portion of the surface and the face surface and the shaft axis line is the angle seen from above. In general, in the case of having a bulge, the intersecting line is a curved line, but the angle at which the tangent in the central region excluding the head toe and heel is viewed from above with respect to the shaft axis is taken as the measurement value. As shown in FIG. 4, the barycentric angle GA is an angle formed by the face surface and a perpendicular when the shaft portion of the golf club is placed horizontally such as on a desk. In general, when a bulge is present, measurement is performed so that the center of the face surface is in contact.

  Referring again to FIG. 2, the golf club selection method, for each of a plurality of prepared golf clubs, provides an appropriate side spin that serves as a selection criterion for a golf club suitable for the subject based on the capture coefficient of the golf club. It further includes step S120 of calculating the amount. Although the details will be described later, the “appropriate side spin amount” is obtained by applying a catching coefficient of the golf club to an expression (4) described later. The golf club is more suitable for the subject as the measured side spin amount of the hit ball of the subject is closer to the appropriate side spin amount. That is, the “appropriate side spin amount” is a reference when selecting a golf club suitable for the subject from the side spin amount of the subject's hit ball.

  The golf club selection method is suitable for a subject from a plurality of golf clubs prepared in advance based on an appropriate side spin amount of each of a plurality of prepared golf clubs and a measured or calculated side spin amount. The method further includes step S130 of selecting a golf club. Typically, steps S110, S120, and S130 are performed using the golf club selection device 10.

  FIG. 5 is a flowchart showing another example of the golf club selection method according to the present embodiment. The golf club selection method according to the modification of the present embodiment is prepared in advance based on step S200 for measuring or calculating the side spin amount of the hit ball of the subject and the spec information of the golf club that affects the side spin amount of the hit ball. And step S210 for calculating a catching coefficient that serves as an index of the flight characteristic of the hit ball in the left-right direction for each of the plurality of golf clubs. Steps S200 and S210 are the same as steps S100 and S110 described above, respectively.

  The golf club selection method further includes a step S220 of calculating a capture coefficient (recommended capture coefficient) recommended for the subject based on the measured or calculated side spin amount. Although details will be described later, the “recommended trapping coefficient” is obtained by applying the side spin amount measured or calculated in step S200 to equation (2) described later. That is, the “recommended catch coefficient” is a catch coefficient recommended for the subject when selecting a golf club suitable for the subject.

  The golf club selection method selects a golf club suitable for the subject from the plurality of prepared golf clubs based on the index values of the plurality of prepared golf clubs and the index values recommended for the subject. Step S230 is further included. Typically, steps S220 and S230 are performed using the golf club selection device 10.

<Hardware configuration>
FIG. 6 is a block diagram showing a hardware configuration of golf club selection device 10 according to the present embodiment.

  Referring to FIG. 6, golf club selection device 10 includes, as main components, CPU (Central Processing Unit) 100, memory 110, input device 120, display 130, and communication interface (I / F) 140. And a memory interface (I / F) 150.

  The CPU 100 reads and executes the program stored in the memory 110 to control the operation of each part of the golf club selection device 10. More specifically, the CPU 100 executes each of the processes (steps) of the golf club selection device 10 described later by executing the program. The CPU 100 is, for example, a microprocessor.

  The memory 110 is realized by a RAM (Random Access Memory), a ROM (Read-Only Memory), a hard disk, or the like. The memory 110 stores a program executed by the CPU 100, data used by the CPU 100, and the like.

  The input device 120 receives an operation input to the golf club selection device 10. The input device 120 is realized by, for example, a keyboard, a button, a mouse, and the like. The input device 120 may be realized as a touch panel.

  The display 130 displays an image, text, and other information on the display screen based on a signal from the CPU 100. For example, the CPU 100 displays information on the golf club suitable for the subject on the display 130.

  The communication interface (I / F) 140 can exchange various data between the golf club selection device 10 and the measurement device 20. Note that the communication method may be, for example, wireless communication using Bluetooth (registered trademark), wireless LAN, or wired communication using USB or the like.

  A memory interface (I / F) 150 reads data from an external storage medium 152. More specifically, the CPU 100 reads data stored in the external storage medium 152 via the memory interface 150 and stores the data in the memory 110. The CPU 100 reads data from the memory 110 and stores the data in the external storage medium 152 via the memory interface 150.

  As the storage medium 152, a CD (Compact Disc), a DVD (Digital Versatile Disk), a BD (Blu-ray (registered trademark) Disc), a USB (Universal Serial Bus) memory, a memory card, an FD (Flexible Disk), Hard disk, magnetic tape, cassette tape, MO (Magnetic Optical Disc), MD (Mini Disc), IC (Integrated Circuit) card (excluding memory card), optical card, EPROM, EEPROM (Electronically Erasable Programmable Read-Only Memory), etc. And a medium for storing the program in a nonvolatile manner.

<Selecting a golf club>
Next, a flow until a golf club suitable for the subject is selected will be described.

(Relationship between side spin rate and flight distance)
First, the relationship between the side spin amount and the flight distance will be described. FIG. 7 is a diagram showing the relationship between the side spin amount of the hit ball and the flight distance (carry) when six golfers A to F use a plurality of golf clubs. Here, a plurality of golf clubs (up to nine golf clubs) among the golf clubs A1 to A9 shown in Table 1 are tried on each golfer.

  Referring to FIG. 7, golfers A to C tend to generate hook spin (with a negative side spin amount) regardless of which golf club is used, and golfers D to F are sliced regardless of which golf club is used. It can be seen that there is a tendency for spin (a side spin amount is positive) to be easily generated. In addition, although the difference between the maximum flight distance and the minimum flight distance is different for each golfer, it can be seen that the flight distance generally increases as the side spin amount of the hit ball approaches zero.

  The reason why the flight distance decreases when the absolute value of the side spin amount is large is due to the energy loss at the time of impact and the energy loss at the golf ball in flight. Specifically, in this case, since the rotational energy of the side spin increases, an energy loss at impact occurs. Then, the force of the component parallel to the face surface acts, so that the ball jumps out in a direction different from the traveling direction of the head, and the component in the flight distance direction of the ball initial velocity decreases, so the flight distance decreases. In addition, when the amount of side spin is large, the trajectory of the ball is bent in the left-right direction, and the flight distance is reduced.

  As shown in FIG. 7, whether there is a tendency of hook spin or a tendency of slice spin is different for each golfer, and the magnitude of the spin amount is also different for each golfer. Therefore, it is possible to provide a golf club suitable for a golfer quickly and accurately by measuring the side spin amount of a golfer's hit ball and selecting a golf club whose absolute value of the measured side spin amount is small. it can.

(About capture coefficient)
Next, the trap coefficient obtained by regression analysis based on the sensory evaluation results will be described. Here, six golfers were made a test shot on 17 (B1 to B17), and each was subjected to sensory evaluation (evaluation of catching condition). Here, the golfer expresses the trajectory that turns to the left by the hook spin by the side spin in the left and right direction of the hit ball as “caught”, so the sensory evaluation of the degree of catch is the score as the tendency of the left turn increases It was evaluated in multiple stages so as to increase. Hereinafter, this evaluation point is referred to as a catch evaluation value. The evaluation of the degree of catch was made by giving each golfer a score of 1 point, 2 points, 3 points,... Here, 7 points are the highest and 1 point is the lowest. In addition, the score interval from 7 points to 1 point is the same scale. In addition, the capture evaluation value of each golf club was an average of the capture evaluation values of the six golfers for the golf club.

  The inventor of the present application diligently studied from this sensory evaluation. Of the various specifications of the golf club, the face angle FA, the moment of inertia Is around the shaft axis, and the barycentric angle GA are in relation to the above-mentioned “capture evaluation value”. And found that the correlation is particularly high.

  Therefore, based on the above findings, the present inventor conducted multiple regression analysis using the face angle FA, the moment of inertia Is / 100 around the shaft axis, and the barycentric angle GA as explanatory variables and the “capture evaluation value” as an objective variable. . The regression equation calculated as a result is shown in the following equation (1).

  By using Expression (1), a “catch coefficient” that is a predicted “catch evaluation value” based on the face angle FA of each golf club, the moment of inertia Is about the shaft axis, and the barycentric angle GA. Can be easily calculated. Table 2 shows the calculation results.

Further, the validity of the multiple regression equation shown in equation (1) is as shown in FIG. That is, since the coefficient of determination R ² of multiple regression equation shown in equation (1) is 0.62, a high coefficient of determination are obtained, appropriateness of the above findings by the present inventors was obtained a result of intensive studies Sex is shown.

(About trapping coefficient and side spin rate)
Next, the relationship between the trapping coefficient obtained by regression analysis based on the sensory evaluation result and the amount of side spin will be described. Here, 31 golfers made a test shot with eight golf clubs C1 to C8, and the side spin amount of the hit ball when each golf club was tried was measured. Table 3 shows the catch coefficient and the side spin amount (actually measured values) of each golf club. In addition, the side spin amount shown in Table 3 is an average value of the side spin amounts of 31 golfers. Further, the trapping coefficient is calculated using Equation (1).

  FIG. 9 is a diagram for explaining a calculation method for calculating a catch coefficient (recommended catch coefficient) of a golf club suitable for a golfer. First, referring to FIG. 9, a graph 800 shows a correlation between the trapping coefficient and the side spin amount in Table 3. Specifically, the graph 800 is a straight line obtained by linearly approximating the trapping coefficient and the side spin amount in Table 3.

  A graph 810 illustrates the relationship between the recommended trapping coefficient and the side spin amount obtained from this correlation. Hereinafter, the calculation method of the recommended trapping coefficient will be specifically described.

  First, as can be seen from the graph 800, as the catch coefficient of the golf club increases, the hook spin (side spin amount becomes a negative value) is more likely to occur, and conversely, the slice spin (side spin amount becomes a positive value) decreases as the catch coefficient decreases. There is a tendency to come out easily.

  For this reason, a golf club having a small catching coefficient is recommended for golfers (for example, golfers A to C in FIG. 7) that easily generate hook spin regardless of the golf club, and golf players that easily generate slice spin (for example, 7, it is understood that a golf club having a large catching coefficient may be recommended for the golfers D to F) in FIG. 7. In other words, a golf club that easily produces a slice spin is recommended for a golfer that easily generates hook spin, and a golf club that easily generates a hook spin is recommended for a golfer that easily generates a slice spin. Can be suppressed (the absolute value of the side spin amount is reduced).

  More specifically, the recommended catch coefficient is obtained using the following equation (2).

  The graph 810 is represented by the above formula (2). According to this equation (2), for example, for a golfer who tends to generate hook spin whose average side spin amount (average value) is −500 rpm, the recommended capture coefficient of the golf club is 3.5. It becomes. In addition, for a golfer who has a measured side spin amount of 0 rpm and does not have a side spin tendency, the recommended catch coefficient of the golf club is 4.5. In addition, the golf club has a catching coefficient of 5.5 for a golfer who tends to emit slice spin with a measured side spin amount of 500 rpm.

  Formula (2) is derived based on the following analyzes and findings of (A) to (C).

  First, as described above, (A) the correlation between the recommended trapping coefficient and the amount of side spin is opposite to the correlation between the trapping coefficient and the amount of side spin in Table 3 (that is, the sign of the slope is reversed). There is a need)

  Next, (B) as a result of intensive studies by the inventor of the present application, the average value of the catch coefficients of many general golf clubs is about 4.5, and the catch coefficients of those golf clubs are 3.5 to It has been found to be distributed at 5.5.

  Further, (C) The side spin amount (average value) of a golfer generally considered to be likely to generate hook spin is about -500 rpm, and generally the side spin amount ( Is an average value of about 500 rpm.

  The expression (2) is derived on the condition of the above (A) to (C), but is an example, and the relational expression indicating the correlation between the recommended trapping coefficient and the side spin is not limited to this. At least (A) needs to be satisfied, but (B) and (C) can be changed as appropriate. For example, in (B), the average value of the catch coefficient is set to 4.5, and even more special golf clubs (which have a strong tendency to slice and hook spin) are captured. It is good also as -6.0. Also, in (C), since more special golfers (whose hook and slice spin tend to be strong) are taken in, the side spin amount of the golfer who easily generates hook spin is set to −1000 rpm, and the side spin of the golfer who easily generates slice spin. The amount may be increased to 1000 rpm.

  In this case, the recommended catch coefficient is obtained by the following equation (3).

  That is, if the distribution range of the trap coefficient (B) and the distribution range of the side spin amount (C) are determined while satisfying the condition (A), the relationship between the recommended trap coefficient and the side spin amount is determined. .

(Golf club selection and result display)
Next, selection of a golf club suitable for the subject and display of the result will be described. Here, for example, a case will be described in which a golf club suitable for the subject is selected from a plurality of six golf clubs D1 to D6 prepared in advance.

  Table 4 below shows information related to the six golf clubs D1 to D6. The appropriate side spin amount of each golf club can be obtained by applying each catching coefficient to the following equation (4).

  For example, when the trap coefficient is 4.1, the appropriate side spin amount is −200 rpm. That is, it can be said that the golf club is more suitable for the subject as the measured side spin amount of the hit ball of the subject is closer to the appropriate side spin amount. The appropriate side spin amount can also be said to be the side spin amount obtained by applying the catch coefficient of the golf club as the recommended catch coefficient in the above equation (2).

In addition, the fast-head speed of the subject is suitable club mass is heavy golf club, the subject has late head speed is suitable club mass is lighter golf club.

  FIG. 10 is a diagram showing the relationship between the head speed and the recommended club mass. The straight line in FIG. 10 is as the following formula (5), and the club mass (recommended club mass) recommended for the subject is determined from this formula (5).

  In addition, the appropriate head speed of each golf club can be obtained by applying the mass of each club to the following equation (6).

  For example, when the club mass is 317 g, the proper head speed is 44.3 m / s. The closer the measured head speed of the hit ball of the subject is to the appropriate head speed, the more suitable the golf club for the subject. The appropriate head speed can also be said to be the head speed required by applying the club mass of the golf club as the recommended club mass to the above equation (5).

  For example, when the side spin amount of the hit ball of the subject is measured by the measurement device 20 as −200 rpm, the golf club selection device 10 refers to Table 4 and the appropriate side spin amount of the six golf clubs, The measurement result (−200 rpm) is compared, and the golf club D1 having the appropriate side spin amount (−200 rpm) closest to the measurement result (same in this case) is selected as the golf club suitable for the subject.

  Alternatively, the recommended catch coefficient obtained from the measurement result is 4.01 according to the equation (2). Therefore, with reference to Table 4, the golf club selection device 10 compares the catch coefficients of the six golf clubs with the recommended catch coefficients obtained, and obtains the catch coefficient (4 closest to the recommended catch coefficient 4.01). .1) is selected as a golf club suitable for the subject. As a result, a golf club is selected that makes the side spin amount of the hit ball of the subject closer to zero. As a result, the flight distance of the hit ball of the subject can be extended.

  Further, when the head speed of the subject is measured by the measurement device 20 as 46 m / s, for example, the golf club selection device 10 refers to Table 4 and the appropriate head speed of the six golf clubs, The measurement result (46 m / s) is compared, and a golf club D1 having an appropriate head speed (44.3 m / s) closest to the measurement result is selected as a golf club suitable for the subject.

  Or the recommended club mass calculated | required from this measurement result will be 323g by Formula (5). Therefore, for example, the golf club selection device 10 compares the club mass of the six golf clubs with the determined recommended club mass with reference to Table 4, and the club mass closest to the recommended club mass (323 g). Golf club D1 having (317g) is selected as a golf club suitable for the subject. Thereby, since the golf club which a test subject can swing more easily is selected, a test subject's swing can be stabilized as a result. The recommended club mass of the golf club D2 is also 323 g, but the catch coefficient is 4.8, and the difference from the obtained recommended catch coefficient (4.1) is large. Therefore, the golf club D1 is most suitable for the subject. Selected as a golf club.

  Here, the golf club selection device 10 may be a case where a plurality of golf clubs are selected as golf clubs recommended for the subject, or a case where the golf clubs are prioritized and selected in the order recommended to the subjects. There may be. For example, in the example of the subject described above, the golf club selection device 10 selects the golf club D1 as the optimum golf club, and selects the golf club D2 as the second most suitable golf club.

  FIG. 11 is a diagram illustrating an example of a display screen of the golf club selection device 10. More specifically, FIG. 11A is a diagram showing the appropriate side spin amounts and appropriate head speeds of the plurality of golf clubs shown in Table 4, and the actually measured values of the side spin amounts and the head speed. FIG. 11B is a diagram showing the catch coefficients and club masses of the plurality of golf clubs shown in Table 4, and the recommended catch coefficients and recommended club masses.

  As shown in FIG. 11A, the golf club selection device 10 displays on the display 130 the appropriate side spin amount obtained from the trap coefficient and the appropriate head speed obtained from the club mass for each of the six golf clubs. indicate. Further, the golf club selection device 10 displays the actual measured value 900 of the subject's side spin amount and head speed. Furthermore, the golf club selection device 10 has, for each of the six golf clubs, an upper threshold and a lower threshold set according to the appropriate side spin amount, and an upper threshold and a lower threshold set according to the appropriate head speed, A predetermined range consisting of is displayed. Frames 910 to 940 are frames indicating the predetermined range corresponding to the golf clubs D1 to D4, and a frame 950 is a frame indicating the predetermined range corresponding to the golf clubs D5 and D6. Thereby, the test subject can easily know which golf club is the golf club suitable for him. Note that the golf club selection device 10 may select a golf club (golf clubs D1 and D2 in the case of FIG. 11A) corresponding to a frame in which the actual measurement value 900 fits as a golf club suitable for the subject.

  In addition, as shown in FIG. 11B, the golf club selection device 10 displays the catch coefficient and the club mass for each of the six golf clubs. In addition, the golf club selection device 10 displays a point 1000 representing the recommended catch coefficient determined from the actually measured side spin amount and the recommended club mass determined from the actually measured head speed. Furthermore, the golf club selection device 10 has a predetermined threshold value that includes an upper threshold value and a lower threshold value that are set according to the catching coefficient and an upper threshold value and a lower threshold value that are set according to the club mass for each of the six golf clubs. Displays the range of. Frames 1010 to 1040 are frames indicating the predetermined range corresponding to the golf clubs D1 to D4, and a frame 1050 is a frame indicating the predetermined range corresponding to the golf clubs D5 and D6. Also from the screen shown in FIG. 11B, the subject can easily know which golf club is the golf club that suits him. Even in this case, the golf club selection device 10 may select the golf club corresponding to the frame in which the point 1000 is accommodated (in the case of FIG. 11B, the golf clubs D1 and D2) as the golf club suitable for the subject. Good.

<Modification of golf club selection method>
In the above description, a case has been described in which a golf club is selected so that the side spin amount of the hit ball of the subject is closer to zero. Here, the golf club selection method in consideration of the back spin amount of the golfer and the shaft information of the golf club will be described.

(Revision of recommended trapping coefficient)
Here, a correction method for the recommended trapping coefficient using the side spin amount and the back spin amount will be described.

  First, the relationship between the side spin amount and the back spin amount and the flight distance will be described. 12-14 is a figure which shows the relationship between the backspin amount and the side spin amount of the hit ball of six golfers OT, and the relationship between the side spin amount and the flight distance (carry). Each golfer tried about 50 balls with one golf club.

  Referring to FIG. 12, golfers O and P have a back spin amount of about 3000 rpm when the side spin amount is zero. The golfers O and P have the maximum flight distance (carry) when the side spin amount is zero. That is, the golfers O and P have the same tendency as the golfers A to F shown in FIG.

  Next, referring to FIG. 13, golfers Q, R, and S have a back spin amount of about 3500 rpm when the side spin amount is zero. Golfers Q, R, and S can be said to be types of golfers with a relatively large amount of backspin. The golfers Q, R, and S have the maximum flight distance when the side spin amount is about -500 rpm.

  Next, referring to FIG. 14, for golfer T, when the side spin amount is zero, the back spin amount is about 3200 rpm. In the case of the golfer T, when the amount of side spin is about −250 rpm, the flight distance (carry) is maximum. That is, the golfer T is a golfer of a type belonging to the middle of the types of golfers O and P shown in FIG. 12 and the types of golfers Q, R and S shown in FIG.

  Thus, depending on the size of the golfer's backspin amount, the flight distance is maximized when the side spin amount is zero, or the flight distance is maximized when the side spin amount is small (the hook spin amount is large). It turns out that it becomes different.

  Therefore, it is possible to select a golf club that is more suitable for the subject by correcting the recommended catching coefficient obtained by the above formula (2) according to the backspin amount. As described above, the golfers O and P shown in FIG. 12 having the same tendency as the golfers A to F shown in FIG. 7 have the maximum flight distance when the side spin amount is zero, and the back spin. The amount is about 3000 rpm. For this reason, the recommended trapping coefficient obtained by Expression (2) is corrected as shown in Expression (7) below.

That is, when C0 is 3000 rpm, Expression (7) and Expression (2) are the same expression.
However, in order to obtain C0, it is desirable to make the test subject hit at least 20 balls and measure the variation in the trajectory, and then specify the backspin amount when the side spin amount is zero. However, this measurement requires a great deal of time and a large burden on the subject. Therefore, a method for estimating C0 will be described.

  Referring to FIGS. 12 to 14, the slopes of the straight lines obtained by linear approximation of the side spin amount and the back spin amount in the plurality of golfers O to T are relatively close to each other. That is, the rate of change (inclination) of the back spin amount with respect to the side spin amount is almost the same regardless of the golfer. Therefore, C0 is estimated based on the following formula | equation (8) using 0.82 which is the average value of the said inclination in golfer OT.

  For example, if the subject has about 5 balls hit and the average value of the measured backspin amount is 4000 rpm and the average value of the side spin amount is 500 rpm, C0 can be obtained as 3590 rpm.

  From the above, the golf club selection device 10 according to the present embodiment obtains C0 from the side spin amount and back spin amount of the subject's hit ball measured by the measurement device 20 and the inclination. The golf club selection device 10 corrects the recommended catch coefficient by applying the calculated C0 to the equation (7). Then, the golf club selection device 10 selects a golf club suitable for the subject based on the corrected recommended catch coefficient.

(Correction coefficient correction)
Next, a method for correcting the catch coefficient using the shaft information of the golf club will be described. In general, it is said that the flex is soft and the sliced spin tends to decrease and the grip tends to be improved with a toned shaft. In addition, it is said that the flex is hard and the hook spin tends to decrease in the hand-tuned shaft.

  Therefore, it is possible to select a golf club that is more suitable for the subject by correcting the catching coefficient obtained by the above equation (1) based on the shaft information.

  Here, six golf players were made a test shot of five balls for each of the ten golf clubs E1 to E10, and each was subjected to sensory evaluation (evaluation of catching condition). The golf clubs E1 to E10 have different EI distributions representing the hardness of the shaft, and the catching coefficient is set to about 4.5. The sensory evaluation was performed by giving each golfer a score of 1 point, 2 points, 3 points,... Here, 7 points are the highest and 1 point is the lowest. In addition, the capture evaluation value of each golf club was an average of the capture evaluation values of the six golfers for the golf club. The evaluation results for each golf club are shown in Table 5 below.

  Note that EI 200 is a bending rigidity at a point 200 mm from the shaft tip Tip, and EI 940 is a bending rigidity at a point 940 mm from the shaft tip Tip. EI 400-700 is an average value of bending stiffness from the tip end Tip of the shaft to 400 mm to 700 mm in bending stiffness measured at a pitch of 20 mm. If this value is large, it can be said that the flex is hard. EI200 / 940 is a value obtained by dividing the bending stiffness at the 200 mm point from the shaft tip Tip by the bending stiffness at the 940 mm point. If this value is small, it is a tone, and if this value is large, it can be said to be a hand tone. .

  FIG. 15 is a diagram illustrating the relationship between the trap evaluation value and EI200 / EI940. Referring to FIG. 15, it can be seen that the shaft has a higher tone and the evaluation value is higher, and the hand tone has a lower evaluation value. Therefore, the trap coefficient is corrected using a straight line obtained by linearly approximating the trap evaluation value and the shaft information EI200 / EI940.

  As described above, as a result of intensive studies by the inventor of the present application, the average value of the catch coefficients of a large number of general golf clubs is about 4.5. Therefore, the trap coefficient is obtained by adding the difference between the trap evaluation value (calculated value) with respect to the value of EI 200 / EI 940 and the average value of the trap coefficient 4.5 to the trap coefficient when the linear approximated linear equation is used. Correct. For example, in the case of a golf club having a value of EI200 / EI940 of 0.15, the calculated value of the captured evaluation value using the straight line formula is 4.83, and therefore the difference between this and 4.5 Correction is performed by adding a certain 0.33 to the catch coefficient. For example, in the case of a golf club having a catch coefficient of 4.7, the corrected catch coefficient is 5.03.

  From the above, the golf club selection device 10 according to the present embodiment calculates the calculated value of the catch evaluation value from the shaft information included in the spec information of the golf club and the approximate expression indicating the correlation between the catch evaluation value and the shaft information. Ask. And the golf club selection apparatus 10 correct | amends a capture coefficient by adding the difference of this calculated value and predetermined reference value (4.5) to a capture coefficient. Then, the golf club selection device 10 selects a golf club suitable for the subject based on the appropriate side spin amount obtained by applying the corrected trapping coefficient to the equation (4) and the measured side spin amount. . Further, the golf club selection device 10 may select a golf club suitable for the subject based on the recommended catch coefficient and the corrected catch coefficient.

<Functional configuration>
Next, with reference to FIG. 16, the functional configuration for realizing golf club selection device 10 according to the present embodiment will be described. FIG. 16 is a functional block diagram of golf club selection device 10 according to the present embodiment.

  As shown in FIG. 16, the golf club selection device 10 includes a measurement information input unit 200, a calculation unit 210, a selection unit 220, and a display control unit 230. These are basically realized by the CPU 100 of the golf club selection device 10 executing a program stored in the memory 110 and giving a command to the components of the golf club selection device 10. That is, the CPU 100 functions as a control unit that controls the overall operation of the golf club selection device 10. Note that some or all of these functional configurations may be realized by hardware.

  The memory 110 stores a plurality of prepared golf club spec information (face angle, moment of inertia around the shaft axis, barycentric angle, shaft information, golf club mass, length, etc.).

  In addition, the memory 110 stores various data (such as the above-described formulas, graphs, and tables) used for calculation by the calculation unit 210. Specifically, the memory 110 calculates a trapping coefficient (for example, an index of flight characteristics in the left-right direction of the hit ball based on the specification information of the golf club that affects the side spin amount of the hit ball (for example, , Equation (1)) is stored. More specifically, the calculation formula uses the golf club face angle, the moment of inertia about the shaft axis, and the barycentric angle as explanatory variables, and the trap evaluation value given to the golf club by the golfer is the objective variable. Is a regression equation obtained by performing a regression analysis.

  Further, the memory 110 correlates the trapping coefficients of the plurality of golf clubs obtained using the first arithmetic expression and the amount of side spin generated when the golfer uses the plurality of golf clubs (for example, The graph 800) shown in FIG. 9 is stored. Based on this correlation, the memory 110 calculates a capture coefficient (recommended capture coefficient) that matches the amount of side spin (measured value) of the subject's hit ball (for example, Expression (2) or (3) ) Is memorized. Further, the memory 110 stores an arithmetic expression (for example, Expression (4)) for calculating an appropriate amount of side spin that is a selection criterion for a golf club suitable for the subject based on the correlation.

  Further, the memory 110 has a relational expression (for example, Expression (5)) indicating a correlation between the head speed and the recommended club mass and a relational expression (for example, Expression (6)) indicating the correlation between the appropriate head speed and the club mass. ) Is memorized.

  Furthermore, the memory 110 stores an arithmetic expression (for example, Expression (8)) indicating the correlation between the side spin amount and the back spin amount of the hit ball when a golfer uses a plurality of golf clubs. The memory 110 stores a recommended catch coefficient correction formula (for example, formula (7)) determined from the calculation formula (formula (8)). The memory 110 stores an arithmetic expression (for example, a straight line expression shown in FIG. 15) indicating a correlation between the captured evaluation value given by the golfer to each of the plurality of golf clubs and the shaft information.

  The measurement information input unit 200 receives input of measurement information from the measurement device 20. Specifically, the measurement information input unit 200 acquires measurement information (a side spin amount, a back spin amount, a head speed, etc.) from the measurement device 20 via the communication interface 140. Further, the measurement information input unit 200 may accept input of measurement information from the measurement device 20 via the input device 120.

  The calculation unit 210 applies the golf club spec information to the equation (1) to calculate a golf club catch coefficient. Further, the calculation unit 210 calculates a trapping coefficient (recommended trapping coefficient) recommended for the subject based on the amount of side spin obtained by the measuring device 20 and the formula (2) (or the formula (3)). Further, the calculation unit 210 calculates the appropriate side spin amount of the golf club by applying the catch coefficient of the golf club to the equation (4). In addition, the calculation unit 210 calculates a club mass (recommended club mass) recommended for the subject based on the head speed obtained by the measuring device 20 and the equation (5). Further, the calculation unit 210 calculates the appropriate head speed by applying the club mass of the golf club to the equation (6).

  In another aspect, the calculation unit 210 corrects the recommended catch coefficient based on the side spin amount and the back spin amount of the hit ball of the subject and Expression (8). Specifically, the calculation unit 210 corrects the recommended catch coefficient by the correction formula (7) determined from the formula (8).

  Further, in another aspect, the calculation unit 210 corrects the catch coefficient based on the golf club shaft information stored in the memory 110 and the arithmetic expression (the linear expression shown in FIG. 15). Specifically, the calculation unit 210 corrects the trap coefficient using a straight line obtained by linearly approximating the trap evaluation value and the shaft information EI200 / EI940.

  The selection unit 220 selects a golf club suitable for the subject using the calculation result or measurement information of the calculation unit 210 and information (such as the above-described mathematical formula) stored in the memory 110. Specifically, the selection unit 220 is suitable for a subject from a plurality of golf clubs prepared in advance based on the appropriate side spin amount of each of the plurality of golf clubs prepared in advance and the measured side spin amount. Select a golf club. For example, the selection unit 220 selects a golf club having an appropriate side spin amount closest to the measured side spin amount.

  In addition, the selection unit 220 may select a golf club suitable for the subject from the plurality of prepared golf clubs based on the respective catch coefficients of the plurality of prepared golf clubs and the recommended catch coefficient. Good. In this case, the selection unit 220 selects a golf club having a catch coefficient closest to the recommended catch coefficient.

  Further, when the measured side spin amount is included in a predetermined range consisting of an upper limit threshold value and a lower limit threshold value that are set according to the appropriate side spin amount of the golf club, the selection unit 220 has the golf club concerned. May be selected as a golf club suitable for the subject. In addition, the selection unit 220 includes a recommended catch coefficient obtained from the measured side spin amount within a predetermined range including an upper limit threshold and a lower limit threshold set according to the catch coefficient of the golf club. In this case, the golf club may be selected as a golf club suitable for the subject.

  Further, the selection unit 220 selects a golf club having a mass suitable for the head speed of the subject measured by the measuring device 20. Specifically, the selection unit 220 compares the recommended club mass obtained by applying the measured head speed to the formula (5) and the club mass of a plurality of golf clubs prepared in advance to determine the recommended club. A golf club having a club mass closest to the mass is selected as a golf club suitable for the subject.

  The display control unit 230 causes the display 130 to display the golf club selected by the selection unit 220. In addition, the display control unit 230 may display the spec information of the selected golf club on the display 130. Furthermore, the display control unit 230 may display a display screen as shown in FIG.

<Processing procedure>
Next, with reference to FIG. 17, a processing procedure of golf club selection device 10 according to the present embodiment will be described.

  FIG. 17 is a flowchart showing an example of the processing procedure of golf club selection device 10 according to the present embodiment. The following steps are realized by the CPU 100 executing a program stored in the memory 110.

  Referring to FIG. 17, CPU 100 determines whether or not an input of a measurement result has been received from measurement device 20 (a measurement result has been acquired) via communication interface 140 (step S10). The measurement result includes a side spin amount, a back spin amount, and a head speed. If the measurement result has not been acquired (NO in step S10), CPU 100 repeats the process of step S10. On the other hand, when the measurement result is acquired (YES in step S10), the CPU 100 calculates the recommended catching coefficient by applying the measured side spin amount to the equation (2) (step S11).

  Next, the CPU 100 determines whether or not to correct the recommended catch coefficient (step S12). Specifically, when the CPU 100 receives a correction instruction from the user via the input device 120, the CPU 100 determines to perform the correction. Alternatively, the CPU 100 may determine whether or not to correct according to a predetermined setting condition.

  When the correction is not performed (NO in step S12), the CPU 100 executes a process of step S14 described later. On the other hand, when performing the correction (YES in step S12), the CPU 100 determines the recommended trapping coefficient based on the measured side spin amount and back spin amount and the correction equation (formula (7)). Is corrected (step S13).

  Next, the CPU 100 performs golf suitable for the subject based on the recommended catch coefficient (or the corrected recommended catch coefficient when corrected in step S13) and each catch coefficient of the golf club prepared in advance. A club is selected (step S14). Specifically, for each of a plurality of prepared golf clubs, the CPU 100 includes a recommended catch coefficient within a predetermined range including an upper limit threshold and a lower limit threshold set according to the catch coefficient of the golf club. If so, the golf club is selected as a golf club suitable for the subject.

  Further, the measured head speed may be taken into consideration. Specifically, the CPU 100 calculates a recommended club mass using the equation (5) from the measured head speed. Then, the CPU 100 has a point indicating a recommended catch coefficient and a recommended club mass for each of a plurality of prepared golf clubs, and an upper threshold and a lower threshold set according to the catch coefficient of the golf club, and the golf If it falls within a predetermined range consisting of an upper threshold and a lower threshold set according to the club mass of the club, the golf club is selected as a golf club suitable for the subject (see FIG. 11B).

  In step S14 described above, the catch coefficients of the plurality of golf clubs prepared in advance may be catch coefficients corrected using the shaft information.

  Further, the CPU 100 may display all golf clubs having a catch coefficient within a predetermined range including an upper limit threshold and a lower limit threshold based on the recommended catch coefficient on the display 130. Further, the CPU 100 may prioritize and display the selected golf club on the display 130. For example, it is assumed that a catch coefficient closer to the recommended catch coefficient has a higher priority.

<Others>
(Validity of catch coefficient and catch evaluation value)
In the above (about the trapping coefficient), the validity of the multiple regression equation shown in Equation (1) has been described. Here, in order to further verify this multiple regression equation, six golfers different from the golfers tried to collect the results shown in Table 2 were tried and the data of the items shown in Table 2 were collected. did.

  Specifically, these six different golfers were made a test shot on 13 (F1 to F13), and each was subjected to sensory evaluation (evaluation of catching condition). The sensory evaluation was performed by giving each golfer a score of 1 point, 2 points, 3 points,... Here, 7 points are the highest and 1 point is the lowest. In addition, the score interval from 7 points to 1 point is the same scale. In addition, the capture evaluation value of each golf club was an average value of the capture evaluation values of the six golfers for the golf club.

  The inventor of the present application conducted multiple regression analysis using the face angle FA, the moment of inertia Is / 100 about the shaft axis, and the barycentric angle GA as explanatory variables, and the “capture evaluation value” as an objective variable. The regression equation calculated as a result is shown in the following equation (9).

  By using Expression (9), a “catch coefficient” that is a predicted “catch evaluation value” based on the face angle FA of each golf club, the moment of inertia Is about the shaft axis, and the barycentric angle GA. Can be calculated. The collected data is shown in Table 6.

The validity of the multiple regression equation shown in Equation (9) is as shown in FIG. That is, the coefficient of determination ^{R 2} of multiple regression equation of Equation (9) is 0.57. It can be seen that a high coefficient of determination is also obtained in the multiple regression equation of equation (9).

  Here, when the multiple regression equation coefficient of the equation (1) and the multiple regression equation coefficient of the equation (9) are compared, the absolute value is slightly different, but the sign is the same. That is, the larger the face angle FA and the moment of inertia Is about the shaft axis, the smaller the catch coefficient, and the larger the barycentric angle GA, the greater the catch coefficient.

  The reason why the multiple regression equation coefficient of the equation (1) and the multiple regression equation coefficient of the equation (9) are different values is considered to be mainly due to different golfers collecting data. In other words, when data is collected by a golfer who performs an extreme swing, the multiple regression coefficients may be different.

  There are three main elements of the swing that becomes slice spin: the hit point is the heel of the face surface, the face angle at impact is open, and the swing path is outside-in. There are three main elements of the swing that becomes hook spin: the hit point is the toe of the face surface, the face angle at impact is closed, and the swing path is inside out.

  Here, in a golfer who tends to generate slice spin, when the hitting point is more prone to the heel of the face surface, the absolute value of the coefficient a1 is set large to increase the influence of Is / 100, and the swing path is out When the side-in tendency is strong, the absolute value of the coefficient a2 is set large in order to increase the influence degree of the barycentric angle GA, and when the impact face has a strong tendency to open, the influence degree of the face angle FA is increased. Therefore, it is conceivable to set the absolute value of the coefficient a3 large. That is, the coefficients a1, a2, and a3 may be changed according to the impact face angle of the subject, the hit points in the toe heel direction, and the swing path.

  Similarly, in a golfer who is prone to hook spin, when the hit point is more prone to the toe of the face, the absolute value of the coefficient a1 is set large to increase the influence of Is / 100, and the swing path is set to the inside. To increase the influence of the barycentric angle GA when the out tendency is strong, the absolute value of the coefficient a2 is set large. When the impact face has a strong tendency to close, the influence of the face angle FA is increased. It is conceivable to increase the absolute value of the coefficient a3.

  In consideration of the validity of the multiple regression equation, it is considered preferable that the coefficient of each explanatory variable has an absolute value of 0 or more and 1 or less in a range in which the sign does not reverse. That is, it is preferable that the coefficient a1 is −1 or more and 0 or less, the coefficient a2 is 0 or more and 1 or less, and the coefficient a3 is −1 or more and 0 or less. Further, when the coefficient of each explanatory variable is changed, the intercept a0 is desirably a value adjusted so that the average of the catch coefficients of the population of the database is 4.5.

  The above-described measurement of impact face, swing path, and hitting point is performed by obtaining head movement from analysis of continuous images at high speed immediately before impact. However, the measurement may be performed by a motion sensor equipped with a three-axis acceleration sensor and a three-axis gyro sensor. Further, the hit point may be measured from a hit mark with a face seal.

(About explanatory variables)
In the above description, the case where the multiple regression analysis is performed using the face angle FA, the moment of inertia Is about the shaft axis, and the barycentric angle GA as explanatory variables and the “capture evaluation value” as an objective variable has been described. However, the inventor of the present application performs multiple regression analysis using two of the face angle FA, the moment of inertia Is / 100 about the shaft axis, and the barycentric angle GA as explanatory variables, and the “capture evaluation value” as an objective variable. The following results are obtained.

  First, as a result of performing multiple regression analysis using the face angle FA and the moment of inertia Is / 100 around the shaft axis shown in Table 2 as explanatory variables and the “capture evaluation value” as an objective variable, It is shown in the following formula (10).

The coefficient of determination ^{R 2} of multiple regression equation shown in equation (10) is 0.55.
In addition, as a result of performing multiple regression analysis using the face angle FA and the barycentric angle GA shown in Table 2 as explanatory variables and the “capture evaluation value” as an objective variable, the calculated regression equation is expressed by the following equation (11). Show.

The coefficient of determination ^{R 2} of multiple regression equation shown in equation (11) is 0.58.
Furthermore, as a result of performing multiple regression analysis with the inertia moment Is / 100 about the shaft axis shown in Table 2 and the barycentric angle GA as explanatory variables and the “capture evaluation value” as an objective variable, the calculated regression equation Is shown in the following equation (12).

The coefficient of determination ^{R 2} of multiple regression equation shown in equation (12) is 0.28.
In any case, it can be said that a high coefficient of determination is obtained. From this result, the trap coefficient may be obtained from a multiple regression equation using any two of the face angle FA, the moment of inertia Is / 100 around the shaft axis, and the barycentric angle GA as explanatory variables. That is, the spec information of the golf club that affects the side spin amount includes at least two of the face angle FA, the moment of inertia around the shaft axis, and the barycentric angle.

However, since the multiple regression equation determined coefficients R ² of considerably higher including face angles FA in the explanatory variables, than the formula (12), and face angle FA, the moment of inertia Is / 100 and the center of gravity angle GA of about the shaft axis It can be said that the formulas (10) and (11) using either of them as explanatory variables are more effective formulas.

(Prediction of side spin amount)
Although the case where the side spin amount of a hit ball is measured using a ballistic measuring device has been described above, the present invention is not limited to this. For example, the side spin amount may be calculated (predicted) from measurement information obtained by a measurement device integrated with a golf club. Specifically, this measurement device is a sensor device including an acceleration sensor, a strain sensor, a calculation unit that performs various data calculation processes, a memory that stores data used in the calculation unit, and the like. More specifically, this is a measuring device “Shaft Optimizer” manufactured by Mizuno Corporation.

  The sensor device has a head speed, swing tempo, toe down amount (shaft deflection amount in the toe down direction just before impact), front warp angle (angle that warps in front of the shaft at the time of impact), bending speed (shaft deflection just before impact). It is possible to measure (acquire) a plurality of pieces of swing data such as the speed of turning back and forth, and the swing radius (the distance from the center of rotation of the club immediately before impact to the head).

  Thirty-five golfers (X1 to X35) made a test shot with eight golf clubs, and the side spin amount of the hit ball when each golf club was tried was measured with a ballistic measuring device. And about each golfer, the side spin amount of the hit ball was estimated from each measurement information obtained by making a test hit using the sensor device. Specifically, it was predicted by the regression equation shown in the following equation (13). In other words, the multiple regression analysis was performed with the head speed, the forward bend angle, the bending speed, and the swing radius as explanatory variables, and the “side spin amount” as an objective variable.

  Table 7 below shows a comparison result between the actually measured value of the side spin amount by the ballistic measuring instrument and the predicted value of the side spin amount by the equation (13).

The coefficient of determination ^{R 2} of multiple regression equation of Equation (13) is 0.42. Therefore, a relatively good coefficient of determination is obtained in the multiple regression equation (13). Therefore, the sensor device can predict the side spin amount by applying Equation (13) to the acquired swing data. Note that swing data and Equation (13) may be stored in the memory of the sensor device.

  When the side spin amount is measured by the ballistic measuring device, the side spin amount of the hit ball varies greatly depending on the level of the subject. Therefore, it takes a lot of time and the burden on the subject is large. However, according to the shaft optimizer, the amount of side spin can be predicted from the above-mentioned measurement information only by making a trial shot of about three balls, so that measurement can be performed in a short time and the burden on the subject can be reduced.

(Estimation of moment of inertia around the shaft axis)
FIG. 19 is a diagram illustrating the relationship between the moment of inertia around the shaft axis and the center-of-gravity distance. As shown in FIG. 19, the moment of inertia Is around the shaft axis of the golf club has a strong correlation with the center of gravity distance CG. The center of gravity distance CG is the shortest distance from the shaft axis to the head center of gravity. A straight line obtained by linear approximation of the moment of inertia Is around the shaft axis and the center-of-gravity distance CG is expressed by the following equation (14).

  Therefore, the moment of inertia around the shaft axis of the golf club may be an actual measurement value, or may be a value estimated from the center of gravity distance CG using Equation (14).

(How to find the catch coefficient)
In the above description, the face angle FA of the golf club, the moment of inertia Is about the shaft axis, and the barycentric angle GA are used as explanatory variables, and the catch evaluation value is used as an objective variable. I can't.

  As shown in the graph 800 in FIG. 9, it is understood that the trapping coefficient has a strong correlation with the amount of side spin. Therefore, the face angle FA of the golf club, the moment of inertia Is about the shaft axis, and the barycentric angle GA (or at least two of them) are used as explanatory variables, and the side spin amount is used as an objective variable instead of the given evaluation value. As such, a trapping coefficient that is the predicted amount of side spin may be obtained.

(program)
It is also possible to provide a program that causes a computer to function and execute control as described in the above flowchart. Such a program is recorded on a non-temporary computer-readable recording medium such as a flexible disk attached to the computer, a CD-ROM (Compact Disk Read Only Memory), a ROM, a RAM, and a memory card as a program product. It can also be provided. Alternatively, the program can be provided by being recorded on a recording medium such as a hard disk built in the computer. A program can also be provided by downloading via a network.

  The program may be a program module that is provided as a part of a computer operating system (OS) and that calls a required module at a predetermined timing to execute processing. In that case, the program itself does not include the module, and the process is executed in cooperation with the OS. A program that does not include such a module can also be included in the program according to the present embodiment.

  Further, the program according to the present embodiment may be provided by being incorporated in a part of another program. Even in this case, the program itself does not include the module included in the other program, and the process is executed in cooperation with the other program. A program incorporated in such another program can also be included in the program according to the present embodiment.

<Effect of Embodiment>
According to the present embodiment, it is possible to provide a golf club having specifications suitable for golfers in accordance with the tendency of golfers such that hook spin is easily generated or slice spin is easily generated.

  Also, according to the present embodiment, the face angle, at least one of the moment of inertia around the shaft axis and the barycentric angle are extracted from the specs of the golf club as affecting the side spin amount, and these are comprehensively considered. The golf club suitable for the subject can be selected.

  Further, according to the present embodiment, it is possible to select a golf club suitable for the subject in consideration of the backspin amount. Therefore, a golf club suitable for a golfer can be provided with higher accuracy in accordance with the tendency of golfers with a large backspin amount.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  10 golf club selection device, 20 measurement device, 100 CPU, 110 memory, 120 input device, 130 display, 140 communication interface, 150 memory interface, 152 storage medium, 200 measurement information input unit, 210 calculation unit, 220 selection unit, 230 Display control unit.

Claims (11)

A golf club selection method for selecting a golf club suitable for a subject,
Measuring or calculating a side spin amount of the hit ball of the subject;
Using at least two of the face angle, the moment of inertia around the shaft axis, and the barycentric angle of each of the three or more golf clubs that affect the side spin amount of the hit ball as explanatory variables, the three or more golf clubs For each of a plurality of golf clubs prepared in advance using a regression equation obtained by performing regression analysis using an evaluation value given to each of the golf balls by the golfer as an objective variable. Calculating an index value that is an index of the flight characteristics of the hit ball in the left-right direction;
Based on a relational expression derived from a predetermined correlation between the index value and the amount of side spin, and based on a relational expression between the index value and an appropriate side spin amount serving as a selection criterion for a golf club suitable for the subject. calculating a suitable positive side spin amount of each of the plurality of golf club that is,
A golf club suitable for the subject is selected from the plurality of prepared golf clubs based on the appropriate side spin amount of each of the plurality of prepared golf clubs and the measured or calculated side spin amount. And selecting the golf club. A golf club selection method for selecting a golf club suitable for a subject,
Measuring or calculating a side spin amount of the hit ball of the subject;
Using at least two of the face angle, the moment of inertia around the shaft axis, and the barycentric angle of each of the three or more golf clubs that affect the side spin amount of the hit ball as explanatory variables, the three or more golf clubs For each of a plurality of golf clubs prepared in advance using a regression equation obtained by performing regression analysis using an evaluation value given to each of the golf balls by the golfer as an objective variable. Calculating an index value that is an index of the flight characteristics of the hit ball in the left-right direction;
Calculating a correlation predetermined between the index value and the side spin amount, the measurement or on the basis of the computed side spin amount, the indices values that recommended to the subject,
Selection and the index value of each of the plurality of golf clubs in which the previously prepared, on the basis on the indicators value you recommended subject, a golf club that is suitable for the subject from the plurality of golf clubs in which the previously prepared And a step of selecting a golf club. The regression coefficient of the face angle is -1 or more and 0 or less, the regression coefficient of the moment of inertia around the shaft axis is -1 or more and 0 or less, and the regression coefficient of the barycentric angle is 0 or more and 1 or less. 3. A method for selecting a golf club according to 1 or 2 . The regression coefficient of the face angle, the regression coefficient of the moment of inertia around the shaft axis, and the regression coefficient of the barycentric angle are changed according to the impact face angle of the subject, the hit point in the toe heel direction, and the swing path ,
The impact face angle, the hit point, and the swing path are obtained by analyzing a continuous image at a high speed immediately before impact, or
4. The golf club selection according to claim 3 , wherein the impact face angle and the swing path are measured by a motion sensor including a three-axis acceleration sensor and a three-axis gyro sensor, and the hitting point is measured from a hit mark on a face seal. Method. A golf club selection method for selecting a golf club suitable for a subject,
Measuring the head speed during the swing of the subject, measuring or calculating the amount of side spin of the subject's hit ball,
Using at least two of the face angle, the moment of inertia around the shaft axis, and the barycentric angle of each of the three or more golf clubs that affect the side spin amount of the hit ball as explanatory variables, the three or more golf clubs For each of a plurality of golf clubs prepared in advance using a regression equation obtained by performing regression analysis using an evaluation value given to each of the golf balls by the golfer as an objective variable. Calculating an index value that is an index of the flight characteristics of the hit ball in the left-right direction;
Based on a first relational expression derived from a first correlation between the index value and the amount of side spin, the index value and an appropriate side spin amount serving as a selection criterion for a golf club suitable for the subject, Calculating an appropriate side spin amount of each of a plurality of prepared golf clubs;
Based on a second relational expression between a golf club mass and an appropriate head speed as a selection criterion for a golf club suitable for the subject, derived from a second correlation between the golf club mass recommended for the subject and the head speed. Calculating a proper head speed for each of the plurality of prepared golf clubs;
Based on the appropriate side spin amount and the appropriate head speed of each of the plurality of prepared golf clubs, the measured or calculated side spin amount, and the measured head speed, the plurality of previously prepared plural Selecting a golf club suitable for the subject from the golf clubs. A golf club selection method for selecting a golf club suitable for a subject,
Measuring the head speed during the swing of the subject, measuring or calculating the amount of side spin of the subject's hit ball,
Using at least two of the face angle, the moment of inertia around the shaft axis, and the barycentric angle of each of the three or more golf clubs that affect the side spin amount of the hit ball as explanatory variables, the three or more golf clubs For each of a plurality of golf clubs prepared in advance using a regression equation obtained by performing regression analysis using an evaluation value given to each of the golf balls by the golfer as an objective variable. Calculating an index value that is an index of the flight characteristics of the hit ball in the left-right direction;
Calculating a recommended index value for the subject based on a predetermined correlation between the index value and the side spin amount, and the measured or calculated side spin amount;
Calculating a recommended golf club mass based on the measured head speed;
The index value of each of the plurality of prepared golf clubs, the index value recommended for the subject, the mass of each of the plurality of prepared golf clubs, and the mass of the golf club recommended for the subject And a step of selecting a golf club suitable for the subject from the plurality of golf clubs prepared in advance. Measuring the backspin amount of the subject's hit ball;
Correlation between the side spin amount and back spin amount of the hit ball when the golfer uses at least three golf clubs, the side spin amount measured or calculated by the step of measuring or calculating the side spin amount , and the back based on the backspin amount measured by the step of measuring the amount of spin, further saw including a step of correcting the recommended to that indicators value calculated by calculating an index value to recommend to the subject,
The golf club selection according to claim 2 or 6 , wherein the selecting step includes selecting a golf club suitable for the subject using the index value recommended for the subject corrected by the correcting step. Method. Granted by the golfer to at least three rubber Rufukurabu, based on the correlation between the evaluation value and each of the shaft information of said at least three golf clubs regarding flight characteristics in the lateral direction of the ball, the index value further seen including a step of correcting an index value calculated by the step of calculating,
The golf club selection according to any one of claims 1 to 6 , wherein the selecting step includes selecting a golf club suitable for the subject using the index value corrected in the correcting step. Method. Side spin amount of said operation is a side spin amount of the ball of the subject that is calculated based on the plurality of swing data of the subject when the test subject is obtained by a sensor device mounted on the golf club to be used, wherein Item 9. The golf club selection method according to any one of Items 1 to 8 . A golf club selection system for selecting a golf club suitable for a subject,
A measuring device capable of measuring or calculating the amount of side spin of the hit ball of the subject;
A processing device for executing processing for selecting a golf club suitable for the subject using the result obtained by the measuring device;
The processor is
Using at least two of the face angle, the moment of inertia around the shaft axis, and the barycentric angle of each of the three or more golf clubs that affect the side spin amount of the hit ball as explanatory variables, the three or more golf clubs Each of a plurality of golf clubs prepared in advance is a regression equation obtained by performing regression analysis using an evaluation value regarding a flight characteristic in the left-right direction of a hit ball given by a golfer as an objective variable. A first storage unit that stores a first arithmetic expression for calculating an index value that is an index of the flight characteristic of the hit ball in the left-right direction;
An arithmetic expression derived from a predetermined correlation between before the index value obtained by using the first operation expression Stories and side spin amount, in each of the plurality of golf clubs in which the previously prepared A second storage unit that stores a second arithmetic expression for calculating an appropriate side spin amount serving as a selection criterion for a golf club suitable for the subject;
Based on the appropriate side spin amount of each of the plurality of previously prepared golf clubs determined using the second arithmetic expression and the measured or calculated side spin amount, the preliminarily prepared A golf club selection system including a selection unit that selects a golf club suitable for the subject from a plurality of golf clubs. A golf club selection device for selecting a golf club suitable for a subject,
An input unit for receiving an input of a side spin amount of the subject's hit ball;
Using at least two of the face angle, the moment of inertia around the shaft axis, and the barycentric angle of each of the three or more golf clubs that affect the side spin amount of the hit ball as explanatory variables, the three or more golf clubs Each of a plurality of golf clubs prepared in advance is a regression equation obtained by performing regression analysis using an evaluation value regarding a flight characteristic in the left-right direction of a hit ball given by a golfer as an objective variable. A first storage unit that stores a first arithmetic expression for calculating an index value that is an index of the flight characteristic of the hit ball in the left-right direction;
An arithmetic expression derived from a predetermined correlation between before the index value obtained by using the first operation expression Stories and side spin amount, in each of the plurality of golf clubs in which the previously prepared A second storage unit that stores a second arithmetic expression for calculating an appropriate side spin amount serving as a selection criterion for a golf club suitable for the subject;
Based on the appropriate amount of side spin of each of the plurality of prepared golf clubs obtained using the second arithmetic expression and the amount of side spin received by the input unit, the amount is prepared in advance. And a selection unit that selects a golf club suitable for the subject from a plurality of golf clubs.

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