JP2013230241A - Fitting method of golf club - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide golf club fitting high in accuracy.SOLUTION: A fitting method includes the following steps A to E: (A) a step of measuring a plurality of kinds of impact conditions by using a reference club; (B) a step of obtaining hit-ball arrival point data; (C) a step of performing a multiple linear regression analysis while two or more of the plurality of kinds of impact conditions are selected as explanation parameters, and the hit-ball arrival point data are set as target parameters; (D) a step of selecting a specified explanation parameter from among the two or more of the explanation parameters on the basis of a result of the multiple linear regression analysis; and (E) a step of deciding a recommendable club having specifications which can suppress a variation of the specified explanation parameter.

Description

  The present invention relates to a golf club fitting method.

  The selection of a golf club that fits a golfer is referred to as fitting. This fitting greatly affects the hitting result.

  It is common practice to measure data from a golfer's swing. In JP-A-7-227453 and JP-A-2004-24488, the three-dimensional position and orientation of the head at impact are measured.

  It has also been proposed to perform fitting based on measured data. In JP 2010-155074 A, a combination of a head and a shaft is selected based on the behavior of the head. In Japanese Patent Laid-Open No. 2010-155074, for example, when the approach angle in the vertical direction is negative and the approach angle in the left-right direction is positive, the dynamic loft becomes large and the face surface does not close when viewed from the golfer. It is described that a set golf club is preferable.

  JP2011-130932A discloses a shaft selection support device. In the present invention, recommended shaft information is used. The recommended shaft information is information that defines the recommended shaft based on the relationship between the rigidity distribution of the shaft, the vertical launch angle, and the backspin amount.

  Japanese Patent Application Laid-Open No. 2007-29257 discloses a method for setting an iron golf club in which two or more golf clubs that do not fly more than the pitching wedge are added.

JP-A-7-227453 JP 2004-24488 JP 2010-155074 A JP 2011-130932 A JP 2007-29257 A

  In JP 2007-29257 A, a golf club is added based on the flight distance. In the analysis based on the flight distance, for example, an average flight distance can be adopted. By adopting the average value, the reliability of data can be improved.

  The hitting results such as flight distance vary. For many golfers, this variation is significant. Variations cannot be evaluated with the average value and the maximum value that have been conventionally employed. Reducing the variation means increasing the possibility that the golfer will land the ball at the intended position. In many cases, reducing the variation leads to an increase in score.

  An object of the present invention is to provide a method capable of improving the fitting accuracy.

The fitting method according to the present invention includes the following step A, step B, step C, step D and step E.
(A) A step of measuring a plurality of types of impact conditions using a reference club.
(B) A step of obtaining hit ball arrival point data.
(C) A step of performing multiple regression analysis by selecting two or more of the plurality of types of impact conditions as explanatory variables and setting the hit ball arrival point data as an objective variable.
(D) A step of selecting a specific explanatory variable from among the two or more explanatory variables based on the result of the multiple regression analysis.
(E) A step of determining a recommended club having a specification capable of suppressing variations in the specific explanatory variable.

  Preferably, the specific explanatory variable is selected based on the degree of contribution to the objective variable.

  Preferably, the contribution is a standard partial regression coefficient.

  Preferably, the explanatory variable in step C is selected by a variable selection method.

  Preferably, the impact condition is two or more selected from a head speed, a face angle, a shaft angle, a lie angle, a dynamic loft, an approach angle, a blow angle, a left and right hit point, and a vertical hit point.

  Preferably, the hit ball arrival point data is at least one selected from a flight distance and left / right blur.

  According to the method of the present invention, it is possible to determine a recommended club that can suppress variations in hit point arrival points. By suppressing this variation, club fitting with high accuracy can be achieved.

FIG. 1 is a schematic view showing a configuration of a fitting device according to the present invention. FIG. 2 is an explanatory diagram showing the system configuration of the information processing apparatus constituting the fitting apparatus of FIG. FIG. 3 is a front view showing an example of the reference club. FIG. 4 is an explanatory diagram of the swing position. FIG. 5 is a flowchart showing an example of the fitting method according to the present invention. FIG. 6 is a flowchart showing an example of the fitting method according to the present invention.

  Hereinafter, the present invention will be described in detail based on preferred embodiments with appropriate reference to the drawings.

  FIG. 1 shows an example of an apparatus that can be used in the fitting method of the present invention. The fitting device 2 includes a front camera 4 and an upper camera 6 as image capturing units, a sensor 8, a control device 10, and an information processing device 12 as a calculation unit. The sensor 8 includes a light emitter 14 and a light receiver 16.

  The front camera 4 is located in front of a swinging golfer (subject). The front camera 4 is disposed at a position and an orientation so that the head and shaft near the impact can be photographed. The upper camera 6 is located above the position where the ball 34 is placed. The upper camera 6 is arranged at a position and an orientation so that the head and shaft near the impact can be photographed. As the front camera 4 and the upper camera 6, a CCD camera is exemplified. The front camera 4 and the upper camera 6 are examples. A front camera that can photograph the face surface in the vicinity of the impact may be provided. This front camera can improve the measurement accuracy of the hit points.

  The light emitter 14 of the sensor 8 is located in front of the swinging golfer. The light receiver 16 is located at the foot of the swinging golfer. The light emitter 14 and the light receiver 16 are disposed at a position where a golf club swinging therebetween passes. This sensor 8 can detect the head or shaft of a passing golf club. The sensor 8 may be a position that can detect the head or the shaft, and may be disposed forward or backward. The sensor 8 is not limited to the one provided with the light emitter 14 and the light receiver 16. The sensor 8 may be of a reflective type.

  The control device 10 is connected to the front camera 4, the upper camera 6, the sensor 8, and the information processing device 12. The control device 10 can transmit a shooting start signal and a shooting stop signal to the front camera 4 and the upper camera 6. The control device 10 can receive head image signals from the front camera 4 and the upper camera 6. The control device 10 can receive a head or shaft detection signal from the sensor 8. The control device 10 can output a head image signal and a head or shaft detection signal to the information processing device 12.

  As shown in FIGS. 1 and 2, the information processing apparatus 12 includes a keyboard 20 and a mouse 22 as an information input unit 18, a display 24 as an output unit, an interface board 26 as a data input unit, a memory 28, and the like. CPU 30 and hard disk 32 are provided. A general-purpose computer may be used as the information processing apparatus 12 as it is.

  The display 24 is controlled by the CPU 30. The display 24 displays various information. The output unit can display fitting information such as a recommended loft angle, a recommended head, a recommended club, and measurement data. The output unit is not limited to the display 24, and for example, a printer may be used.

  The interface board 26 receives a head image and / or shaft image signal, a head or shaft detection signal, and the like. Measurement data is obtained from the image signal and the detection signal. This measurement data is output to the CPU 30.

  The memory 28 is a rewritable memory. The hard disk 32 stores programs and data. A program for executing each step described later is stored. In addition, a recommended club selection database to be described later is stored. The memory 28 constitutes a storage area, a work area, and the like for programs and measurement data read from the hard disk 32.

  The CPU 30 can read a program stored in the hard disk 32. The CPU 30 can expand the program in the work area of the memory 28. The CPU 30 can execute various processes according to the program.

  A golf club 36 shown in FIG. 3 is an example of a golf club used in the fitting device 2. A golf club used for measurement is referred to as a reference club. This golf club 36 is an example of a reference club. The golf club 36 includes a head 38, a shaft 40, and a grip 42.

  FIG. 4 shows each position where the golfer (subject) swings with the golf club 36. The position in FIG. 4A is an address. The position in FIG. 4B is a top of swing (hereinafter referred to as the top). The position in FIG. 4C is an impact. The impact is the position at the moment when the head 38 and the ball 34 collide. The position shown in FIG. 4D is the finish. A golfer's swing moves continuously from address to top, from top to impact, and from impact to finish. The swing ends at this finish.

  In the apparatus 2, the impact condition is measured. The impact condition is a measurement value in the impact and / or in the vicinity of the impact. When a position 13 cm backward from the center of the ball before being hit is P1, the vicinity of the impact means from the position P1 to the impact position.

  Examples of the impact condition include head speed, face angle, shaft angle, lie angle, dynamic loft, approach angle, blow angle, left and right hit points, and upper and lower hit points. Another impact condition is face rotation.

  The face angle is the direction of the face in the vicinity of the impact. The face angle employed in the embodiment of the present application is an angle formed by the face normal direction and the target direction. The face normal direction is the direction of a projection line obtained by projecting the normal of the face surface at the face center onto the horizontal plane (ground). In an embodiment described later, the face angle is a positive value when the face normal direction is on the right side of the target direction, and the face angle is a negative value when the face normal direction is on the left side of the target direction. It is said.

  The shaft angle is the angle of the shaft near the impact. This shaft angle can be measured based on the attitude of the shaft in impact and the vertical line. From the viewpoint of avoiding the influence of the bending of the shaft, the shaft angle can be preferably obtained based on the image of the tip portion of the shaft. In the embodiments described later, the shaft angle is negative when the shaft axis is inclined forward from the vertical direction, and the shaft angle is positive when the shaft axis is inclined backward from the vertical direction. The value of In other words, in the present application, the shaft angle is a negative value in a so-called hand first state.

  The lie angle is the lie angle of the head near the impact. In other words, this lie angle is a dynamic lie angle. The lie angle can be determined based on the posture of the head in impact and the horizontal plane.

  A dynamic loft is a loft of the face surface in impact. This dynamic loft is an angle with respect to the vertical line. The dynamic loft may be directly measured by, for example, the posture of the face surface. The dynamic loft can also be calculated based on the real loft angle of the head and the shaft angle.

  The approach angle means the incident angle of the head in the left-right direction. In an embodiment described later, the approach angle in the case of so-called inside-out is a positive value, and the approach angle in the case of so-called outside-in is a negative value.

  The blow angle means the incident angle of the head in the vertical direction. In the embodiment described later, the blow angle in the case of so-called down blow is a negative value, and the blow angle in the case of so-called upper blow is a positive value.

  The left and right hit points are hit point positions in the toe-heel direction. In the present application, the right and left dot is the distance from the face center. In the embodiments described later, the left and right hit points when the toe side is closer to the face center are negative values, and the left and right hit points when the heel side is higher than the face center are positive values. In the embodiment described later, the face center is the centroid of the face surface.

  The upper and lower hit points are hit points in the top-sole direction. In the present application, the vertical hit point is a distance from the face center. In the embodiment described later, the vertical hit point when the top side is more than the face center is a positive value, and the vertical hit point when the sole side is more than the face center is a negative value.

  The three-dimensional posture of the head may be obtained based on images from a plurality of cameras. The impact condition may be calculated from this three-dimensional posture.

  The head speed, approach angle and blow angle can be analyzed based on head images at two times and / or shaft images at two times. In order to obtain images at two times in impact, for example, the flash is emitted twice at predetermined intervals. The methods described in JP-A-7-227453 and JP-A-2004-24488 described above may be employed.

FIG. 5 shows an example of the procedure of the fitting method according to the present invention. As FIG. 5 shows, this procedure includes the following steps:
(1) Step st1 of creating a recommended club selection database.
(2) Step st2 of preparing a reference club.
(3) Step st3 in which the swing of the subject is measured using the reference club.
(4) Step st4 in which impact conditions as measurement data are acquired.
(5) Step st5 for performing multiple regression analysis
(6) Step st6 for evaluating the contribution of each explanatory variable
(7) Step st7 for determining a recommended club having specifications capable of suppressing variations.

  Regarding the step st1, an example of a recommended club selection database will be described later. There may not be a recommended club selection database.

  Regarding step st2, the reference club is not particularly limited. For example, a club normally used by the subject may be set as the reference club. A club included in the recommended club selection database may be a reference club.

  In the three examples described later, the shaft length of the reference club is substantially the same as the shaft length of the recommended club. Substantially identical means to allow a difference of ± 2%.

  Details of step st5 to step st7 will be described later.

  Next, details of a preferred fitting method will be described.

  FIG. 6 shows an example of the fitting method according to the present embodiment. Step st10 is the same as step st2 described above.

  In step st20, a plurality of types of impact conditions are measured using the reference club. This step st20 is step A described above. From the viewpoint of fitting accuracy, the number of types of impact conditions to be measured is preferably 3 or more, more preferably 4 or more, and still more preferably 5 or more. From the viewpoint of simplification of data processing, the number of types of impact conditions to be measured is preferably 8 or less. In examples described later, seven types of impact conditions were measured.

  In step st30, the measured impact condition is input to the information processing apparatus 12.

  In step st40, hit ball arrival point data is acquired. This is Step B described above. Examples of hit point arrival point data include flight distance and left / right blur. Examples of the flight distance include total and carry. The carry is the distance from the ball hitting point to the first ball landing point. The flight distance in the examples described later is carry. Total is the distance from the hitting point to the final point of the ball. Left and right blur indicates stability in the direction of the hit ball. The left / right blur in carry is the distance between the target line and the ball landing point when the straight line connecting the hitting point and the target point is the target line. The left / right blur in the total is the distance between the target line and the final arrival point. Another hit ball arrival point data is a run. This run is the total minus the carry.

  The hit point arrival point data may be acquired by actual measurement or by simulation. In the case of simulation, for example, a ballistic equation is used. In the ballistic equation, the ball initial velocity, launch angle, and spin are input variables. In the ballistic equation, the flying distance and left / right blur can be calculated by inputting the initial ball speed, launch angle, back spin, and side spin. The ballistic equation can be created by actual measurement, simulation, or a combination thereof. It is possible to create a highly accurate ballistic equation by using a large number of actually measured data.

  In step st50, hit ball arrival point data is selected. When multiple types of hit ball arrival point data are acquired, one type of hit ball arrival point data is selected. Of course, when the hit ball arrival point data obtained is one kind, it is not necessary to select hit ball arrival point data. In the embodiment to be described later, since the hit point arrival point data is only carry, step st50 is unnecessary.

  In step st60, a variable selection method is determined. In the variable selection method, a good regression model can be searched by narrowing down explanatory variables. The variable selection method to be used may be selected from among a plurality of variable selection methods. Known variable selection methods can be used. Examples of the variable selection method include a variable increase / decrease method, a variable decrease / increase method, a variable increase method, a variable decrease method, and a sequential selection four method. In an embodiment described later, a variable increasing method is used.

  Variable selection need not be made. However, it is preferable to select a variable from the viewpoint of accurately determining an explanatory variable having a high contribution to the variation.

  In step st70, an objective variable and a plurality of explanatory variables are determined. The objective variable is hit ball arrival point data. A plurality of explanatory variables are preferably selected by the variable selection method described above.

  In step st80, multiple regression analysis is performed. Multiple regression analysis is known per se. The multiple regression equation has a plurality of products of explanatory variables and partial regression coefficients. The multiple regression equation is represented by the sum of these multiple products and a constant term. In the multiple regression equation, a partial regression coefficient is determined for each explanatory variable. The partial regression coefficient independent of units is the standard partial regression coefficient.

  Step st70 and step st80 are the above-mentioned step C.

  Based on this multiple regression analysis, a standard partial regression coefficient is calculated for each explanatory variable (step 90). This step st90 is useful for determining the specific explanatory variables of step D above.

  In step st100, a specific explanatory variable is selected. This step st100 is the above step D. It can be considered that the larger the absolute value of the standard partial regression coefficient, the higher the contribution to the objective variable (hit hit point arrival point data). The explanatory variable having the largest standard partial regression coefficient may be the specific explanatory variable described above. It can be said that the variation of this specific explanatory variable is the main cause of the variation of the objective variable.

  In step st110, a recommended club is determined. Recommended clubs have specifications that can suppress variations in specific explanatory variables. Preferably, the recommended club is selected from the recommended club database described above. This selection is made by a program, for example. This selection may be made by a fitter. This step st110 is the above-mentioned step E.

[Specifications that can suppress variations]
In the above-described step st7 and step st110, the spec for suppressing the variation of the specific explanatory variable is determined. The following is illustrated as a specification determination standard.
(1a) When the specific explanatory variable is the head speed, the club weight is increased or decreased with respect to the reference club.
(1b) When the specific explanatory variable is the head speed, the shaft weight is increased or decreased with respect to the reference club.
(1c) When the specific explanatory variable is the head speed, the head weight is increased or decreased with respect to the reference club.
(1d) When the specific explanatory variable is the head speed, the club balance is increased or decreased with respect to the reference club.
(2a) When the specific explanatory variable is the face angle, the flex is reduced with respect to the reference club.
(2b) When the specific explanatory variable is the face angle, the tone rate is reduced with respect to the reference club.
(2c) When the specific explanatory variable is the face angle, the shaft torque is reduced with respect to the reference club.
(3a) If the specific explanatory variable is a dynamic loft, the flex is reduced with respect to the reference club.
(3b) When the specific explanatory variable is a dynamic loft, the pretone rate is reduced with respect to the reference club.
(3c) When the specific explanatory variable is a dynamic loft, the shaft torque is reduced with respect to the reference club.
(3d) When the specific explanatory variable is a dynamic loft, the depth of the center of gravity of the head is made shallow with respect to the reference club.
(4a) When the specific explanatory variable is the lie angle, the flex is reduced with respect to the reference club.
(4b) When the specific explanatory variable is the lie angle, the center-of-gravity distance of the head is reduced with respect to the reference club.
(5a) When the specific explanatory variable is an approach angle, the club weight is increased or decreased with respect to the reference club.
(5b) When the specific explanatory variable is an approach angle, the shaft weight is increased or decreased with respect to the reference club.
(5c) When the specific explanatory variable is an approach angle, the head weight is increased or decreased with respect to the reference club.
(5d) When the specific explanatory variable is an approach angle, the club balance is increased or decreased with respect to the reference club.
(6a) When the specific explanatory variable is the blow angle, the club weight is increased or decreased with respect to the reference club.
(6b) When the specific explanatory variable is the blow angle, the shaft weight is increased or decreased with respect to the reference club.
(6c) When the specific explanatory variable is the blow angle, the head weight is increased or decreased with respect to the reference club.
(6d) When the specific explanatory variable is the blow angle, the club balance is increased or decreased with respect to the reference club.
(7a) When the specific explanatory variable is a right / left dot, the right / left moment of inertia is increased with respect to the reference club.
(7b) If the specific explanatory variable is a right / left dot, the flex is reduced with respect to the reference club.
(8a) When the specific explanatory variable is the vertical hit point, the vertical moment of inertia is increased with respect to the reference club.
(8b) When the specific explanatory variable is a vertical hit point, the flex is reduced with respect to the reference club.
(9a) When the specific explanatory variable is the shaft angle, the flex is reduced with respect to the reference club.
(9b) When the specific explanatory variable is the shaft angle, the tone rate is reduced with respect to the reference club.
(9c) When the specific explanatory variable is the shaft angle, the depth of the center of gravity of the head is made shallow with respect to the reference club.

  In these specification determination criteria, it is considered to suppress variations in specific explanatory variables. For example, when the specific explanatory variable is the head speed, there is a possibility that the head speed varies because the club is not fully used. In other words, there is a possibility that the head speed varies because the club weight or the like is not suitable for the golfer. In this case, variations in head speed can be suppressed by adjusting the club weight or the like. As a result, variation in the objective variable can be suppressed.

  The right / left moment of inertia is the moment of inertia around the vertical axis passing through the center of gravity of the head. In the measurement of the left and right moment of inertia, the head is set to the reference state. In this reference state, the head is placed on a horizontal plane at a predetermined lie angle and real loft angle. The predetermined lie angle and real loft angle are described in a product catalog, for example.

  Note that the vertical moment of inertia is the moment of inertia about the horizontal axis passing through the center of gravity of the head. In the measurement of the vertical inertia moment, the head is in the reference state.

For example, the pretone rate is calculated as follows. When the pretone rate is C1, the forward flex (mm) is F1, and the reverse flex (mm) is F2, the pretone rate C1 can be calculated by the following equation.
C1 = [F2 / (F1 + F2)] × 100

  As described above, in this embodiment, a recommended club selection database may be used. In this database, for example, data on a plurality of clubs, a plurality of shafts, a plurality of heads, and the like are registered. Preferably, a plurality of clubs having different specific explanatory variables are registered as recommended club candidates in this database. Software (or a fitter) may select a recommended club from the recommended club candidates based on the specification determination criteria.

  Hereinafter, the effects of the present invention will be clarified by examples. However, the present invention should not be construed in a limited manner based on the description of the examples.

[Example 1 and Comparative Example 1]
A reference club A was prepared. This reference club A was a driver. Tester A hit 8 times. In these hits, impact conditions and hit ball arrival point data were measured. As impact conditions, head speed, face angle, shaft angle, approach angle, blow angle, left and right hit points, and upper and lower hit points were measured. Carry was measured as hit point arrival point data. These measurement results are shown in Table 1 below.

  The data in Table 1 is regarded as a comparative example (Comparative Example 1) because it is a hitting result before fitting.

  These measurement data are input to the information processing apparatus 12 (computer). The variable increase method was adopted as the variable selection method. The software performed the variable increase method using the above measurement data. The product name “JUSE-StatWorks” of the Japan Science and Technology Institute, Inc. was used as this software. The variance ratio was used as a variable selection criterion. A predetermined boundary dispersion ratio was set. In this embodiment, this boundary dispersion ratio is set to 2. In this variable increasing method, starting from a regression equation containing only constant terms that do not include explanatory variables, the explanatory variables are increased one by one at each step. The dispersion ratio calculated in each step is shown in Table 2 below.

  As Table 2 shows, the selected explanatory variables are the vertical hit point, face angle, shaft angle, left and right hit point, and approach angle in order of step. Other explanatory variables were not selected because all dispersion ratios were below the boundary dispersion ratio. That is, the head speed and blow angle were not selected. Next, this multiple regression analysis was performed, and a standard partial regression coefficient was calculated for each explanatory variable selected by the variable selection method. Multiple regression analysis and standard partial regression coefficients were calculated using the above software (trade name “JUSE-StatWorks” of Japan Science and Technology Institute, Inc.). The results are shown in Table 3 below.

  As shown in Table 3, when the absolute values of these standard partial regression coefficients were compared, the absolute value of the shaft angle was the maximum. Therefore, it can be considered that the shaft angle has a high contribution to the hit ball arrival point data (carry). The shaft angle was adopted as a specific explanatory variable.

  Based on this result, the recommended club A was determined. Flex (shaft hardness) was adopted as a spec that can suppress variations in specific explanatory variables (shaft angle). Based on the specification determination standard (9a), a club having a smaller flex than the standard club A was determined as the recommended club A.

  In this recommended club A, tester A hit 8 times. The measurement results of these hits are shown in Table 4 below. When Table 1 (Comparative Example 1) and Table 4 (Example 1) were compared, the standard deviation of the shaft angle was small, and the standard deviation of the carry was small. That is, carry stability was improved.

[Example 2 and Comparative Example 2]
A reference club B was prepared. This reference club B was a driver. Tester B hit 7 times. In these hits, impact conditions and hit ball arrival point data were measured. As impact conditions, head speed, face angle, shaft angle, approach angle, blow angle, left and right hit points, and upper and lower hit points were measured. Left and right blur was measured as hit point arrival point data. These measurement results are shown in Table 5 below.

  The data in Table 5 is regarded as a comparative example (comparative example 2) because it is a hitting result before fitting.

  These measurement data are input to the information processing apparatus 12 (computer). The variable increase method was adopted as the variable selection method. The variable increment method was performed in the same manner as in Example 1 by the software using the measurement data. The dispersion ratio calculated in each step is shown in Table 6 below.

  As Table 6 shows, the selected explanatory variables are face angle, shaft angle, left and right hit points, head speed, and upper and lower hit points in order of steps. Other explanatory variables were not selected because all dispersion ratios were below the boundary dispersion ratio. That is, the approach angle and blow angle were not selected. Next, this multiple regression analysis was performed, and a standard partial regression coefficient was calculated for each explanatory variable selected by the variable selection method. The results are shown in Table 7 below.

  As shown in Table 7, when the absolute values of these standard partial regression coefficients were compared, the absolute value of the shaft angle was the maximum. Therefore, it can be considered that the shaft angle has a high contribution to the hit ball arrival point data (left / right blur). The shaft angle was adopted as a specific explanatory variable.

  Based on this result, the recommended club B was determined. Flex (shaft hardness) was adopted as a spec that can suppress variations in specific explanatory variables (shaft angle). Based on the specification determination standard (9a), a club having a smaller flex than the standard club B was determined as the recommended club B.

  In this recommended club B, tester B hit 7 times. The measurement results of these hits are shown in Table 8 below. When Table 5 (Comparative Example 2) and Table 8 (Example 2) were compared, the standard deviation of the shaft angle was small, and the standard deviation of left and right blur was also small. That is, the stability of left / right blur is improved. In other words, the directional stability of the hit ball is improved.

[Example 3 and Comparative Example 3]
A reference club C was prepared. This reference club C was a driver. Tester C hit 5 times. In these hits, impact conditions and hit ball arrival point data were measured. As impact conditions, head speed, face angle, shaft angle, approach angle, blow angle, left and right hit points, and upper and lower hit points were measured. Left and right blur was measured as hit point arrival point data. These measurement results are shown in Table 9 below.

  The data in Table 9 is regarded as a comparative example (comparative example 3) because it is a hitting result before fitting.

  These measurement data are input to the information processing apparatus 12 (computer). The variable increase method was adopted as the variable selection method. The variable increment method was performed in the same manner as in Example 1 by the software using the measurement data. The dispersion ratio calculated in each step is shown in Table 10 below.

  As Table 10 shows, the selected explanatory variables were face angle and head speed in step order. Other explanatory variables were not selected because all dispersion ratios were below the boundary dispersion ratio. That is, the shaft angle, approach angle, blow angle, left and right hit points, and upper and lower hit points were not selected. Next, this multiple regression analysis was performed, and a standard partial regression coefficient was calculated for each explanatory variable selected by the variable selection method. The results are shown in Table 11 below.

  As shown in Table 11, when the absolute values of these standard partial regression coefficients were compared, the absolute value of the face angle was the maximum. Therefore, the face angle can be considered to have a high contribution to the hit ball arrival point data (left / right blur). Face angle was adopted as a specific explanatory variable.

  Based on this result, the recommended club C was determined. The pretone ratio was adopted as a specification that can suppress variations in specific explanatory variables (face angles). Based on the specification determination standard (2b), a club having a lower tone rate than the standard club C was determined as the recommended club C.

  In this recommended club C, tester C hit five times. The measurement results of these hits are shown in Table 12 below. When Table 9 (Comparative Example 3) and Table 12 (Example 3) were compared, the standard deviation of the face angle was small, and the standard deviation of left and right blur was also small. That is, the stability of left / right blur is improved. In other words, the directional stability of the hit ball is improved.

  In particular, a general golfer has a large swing variation and a hit ball variation. Even if the average flight distance is large, if the flight distance variation is large, it is difficult to obtain a good score. If the variation in left / right blur is large, the directionality of the hit ball will not be stable. Furthermore, the variation in left / right blur can also lead to a reduction in flight distance. If the variation in left and right blur is large, it is difficult to obtain a good score. The fitting method shown by the said embodiment can suppress the variation in the hit point arrival point effectively. Therefore, an effective fitting for obtaining a good score can be achieved.

2 ... Fitting device 4 ... Front camera 6 ... Upper camera 8 ... Sensor 10 ... Control device 12 ... Information processing device 14 ... Light emitter 16 ... Light receiver 18 ..Information input unit 20 ... Keyboard 22 ... Mouse 24 ... Display 26 ... Interface board 28 ... Memory 30 ... CPU
32 ... Hard disk 34 ... Ball 36 ... Golf club 38 ... Head 40 ... Shaft 42 ... Grip

Claims (6)

A golf club fitting method including the following steps A, B, C, D and E.
(A) A step of measuring a plurality of types of impact conditions using a reference club.
(B) A step of obtaining hit ball arrival point data.
(C) A step of performing multiple regression analysis by selecting two or more of the plurality of types of impact conditions as explanatory variables and setting the hit ball arrival point data as an objective variable.
(D) A step of selecting a specific explanatory variable from among the two or more explanatory variables based on the result of the multiple regression analysis.
(E) A step of determining a recommended club having a specification capable of suppressing variations in the specific explanatory variable.   The fitting method according to claim 1, wherein the specific explanatory variable is selected based on a degree of contribution to the objective variable.   The fitting method according to claim 2, wherein the contribution is a standard partial regression coefficient.   The fitting method according to claim 1 or 2, wherein the selection of the explanatory variable in step C is performed by a variable selection method.   5. The fitting according to claim 1, wherein the impact condition is two or more selected from a head speed, a face angle, a shaft angle, a lie angle, a dynamic loft, an approach angle, a blow angle, a left and right hit point, and a vertical hit point. Method.   The fitting method according to any one of claims 1 to 5, wherein the hit ball arrival point data is at least one selected from a flight distance and a left / right blur.

Images