WO2016185894A1 - Golf gear fitting system, golf gear fitting method, golf gear fitting program, golf swing classification method, golf shaft fitting system, golf shaft fitting method, and golf shaft fitting program - Google Patents
Golf gear fitting system, golf gear fitting method, golf gear fitting program, golf swing classification method, golf shaft fitting system, golf shaft fitting method, and golf shaft fitting program Download PDFInfo
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- WO2016185894A1 WO2016185894A1 PCT/JP2016/063390 JP2016063390W WO2016185894A1 WO 2016185894 A1 WO2016185894 A1 WO 2016185894A1 JP 2016063390 W JP2016063390 W JP 2016063390W WO 2016185894 A1 WO2016185894 A1 WO 2016185894A1
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B60/00—Details or accessories of golf clubs, bats, rackets or the like
- A63B60/46—Measurement devices associated with golf clubs, bats, rackets or the like for measuring physical parameters relating to sporting activity, e.g. baseball bats with impact indicators or bracelets for measuring the golf swing
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B53/00—Golf clubs
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B69/00—Training appliances or apparatus for special sports
- A63B69/36—Training appliances or apparatus for special sports for golf
- A63B69/3605—Golf club selection aids informing player of his average or expected shot distance for each club
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2102/00—Application of clubs, bats, rackets or the like to the sporting activity ; particular sports involving the use of balls and clubs, bats, rackets, or the like
- A63B2102/32—Golf
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/10—Positions
- A63B2220/16—Angular positions
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/30—Speed
- A63B2220/34—Angular speed
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/30—Speed
- A63B2220/36—Speed measurement by electric or magnetic parameters
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/40—Acceleration
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/40—Acceleration
- A63B2220/44—Angular acceleration
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/83—Special sensors, transducers or devices therefor characterised by the position of the sensor
- A63B2220/833—Sensors arranged on the exercise apparatus or sports implement
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
- A63B2225/50—Wireless data transmission, e.g. by radio transmitters or telemetry
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B53/00—Golf clubs
- A63B53/005—Club sets
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B53/00—Golf clubs
- A63B53/10—Non-metallic shafts
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B53/00—Golf clubs
- A63B53/12—Metallic shafts
Definitions
- the present invention relates to a golf equipment fitting system, a golf equipment fitting method, a golf equipment fitting program, a golf swing classification method, a golf shaft fitting system, a golf shaft fitting method, and a golf shaft fitting program.
- the fitting technology solves this.
- a technique described in Patent Document 1 can be given.
- the head behavior at the moment of impact is photographed with a high-speed camera, and the head posture is quantified by replacing it with three-dimensional coordinates by a DLT (Direct Linear Transformation) method.
- DLT Direct Linear Transformation
- the head posture at the time of impact can be specified for each club, and an appropriate club can be selected.
- Patent Document 2 There is a technique described in Patent Document 2 as a technique that can solve this problem.
- this technique first, a swing is measured, and a head behavior is simulated based on the swing data. Using this technique, a player can obtain results equivalent to hundreds of test hits by performing only one swing measurement.
- a club having a different hardness or weight is used, the player hits the ball by changing the swing itself. For this reason, there is a problem that even if a club or shaft with extremely different performance is simulated for one swing data, the simulation result does not match the actual solution.
- Patent Document 3 As a technique that can solve this problem, the technique described in Patent Document 3 can be cited.
- This technique is a technique for calculating a swing that changes for each shaft performance (flex, tone, and torque) using a response surface method. By simulating based on the swing after the change, it is possible to simulate more realistic phenomena.
- the technique described in Patent Document 3 has a problem that it is difficult to simulate by changing, for example, the “weight” and “length” of the members constituting the golf club.
- the reason for this is that when the weight and length are changed, even the same player, from the address (the golf club is attached to the ground) to the top (the golf club is raised), the impact from the top (the head is the ball) This is because a swing time such as the time of hitting is greatly different and sufficient calculation accuracy cannot be obtained. Therefore, in the technique described in Patent Document 3, the specs of the golf club that can be changed are limited to specs excluding those that greatly affect the swing time such as weight and length.
- Patent Document 4 As a technique for solving this, the technique described in Patent Document 4 can be cited. This technique is capable of accurately simulating specifications that greatly affect the swing time by using a swing response curved surface and a time response curved surface.
- JP 2005-31734 A Japanese Patent No. 4871218 JP 2011-425 A International Publication No. 2014/132858
- the present invention has been made in view of such circumstances, and a golf equipment fitting system, a golf equipment fitting method, a golf equipment fitting program, a golf shaft fitting system, and a golf equipment fitting system capable of selecting an appropriate golf equipment with a small number of trial hits.
- a golf shaft fitting method and a golf shaft fitting program are provided.
- a swing data acquisition unit that acquires swing data from sensors attached to a plurality of golf clubs having different specifications, a swing data storage unit that stores swing data acquired by the swing data acquisition unit, and the swing data
- a data classifying unit for classifying swing data stored in the storage unit, and a data predicting unit for predicting swing data of a spec that is not measured by the sensor by referring to the swing data classified by the data classifying unit; , Having a golf equipment fitting system.
- Swing data acquisition procedure for acquiring swing data from sensors attached to a plurality of golf clubs having different specifications, and a swing data storage procedure for storing the swing data acquired in the swing data acquisition procedure in a swing data storage unit
- the swing data stored in the swing data storage unit is classified, and the swing data classified by the data classification procedure is referred to, so that swing data of a spec not measured by the sensor is predicted.
- a golf equipment fitting method comprising: a data prediction procedure.
- Swing data acquisition procedure for acquiring swing data from sensors attached to a plurality of golf clubs having different specifications, and a swing data storage procedure for storing the swing data acquired in the swing data acquisition procedure in a swing data storage unit
- the swing data stored in the swing data storage unit is classified, and the swing data classified by the data classification procedure is referred to, so that swing data of a spec not measured by the sensor is predicted.
- a golf equipment fitting program for causing a computer to execute a data prediction procedure.
- an appropriate golf equipment can be selected with a small number of trial hits. Therefore, it can be suitably used even for beginners who do not have a stable swing. In addition, since the measurement time is shortened, it is possible to spend time for hearing to golfers and trial hitting of equipment desired for purchase, which is necessary for actual use.
- a golf equipment fitting system a golf equipment fitting method, a golf equipment fitting program, a golf swing classification method, a golf shaft fitting system, a golf shaft fitting method, and a golf shaft fitting program according to an embodiment of the present invention will be described with reference to the drawings. I will explain.
- a golf shaft is illustrated and explained as a specification of a golf equipment, it is not limited to this.
- FIG. 1 is a block diagram illustrating a golf equipment fitting system according to a first embodiment.
- the golf club 1 is mounted with a golf shaft whose specifications are known in advance.
- the golf club 1 includes a sensor 11 and a transmission unit 12 inside the shaft of the grip portion.
- the transmission unit 12 transmits the output of the sensor 11 to the outside by wireless communication.
- the sensor 11 may be attached to the outside of the shaft.
- the sensor 11 may be attached to the outside of the shaft at the lower part of the grip.
- the sensor 11 can be attached to the golf club 1 owned by the player.
- the sensor 11 may be attached to the inside of the shaft at the grip end of the golf club 1. Thereby, more accurate swing data can be measured.
- the sensor 11 and the transmission unit 12 are preferably configured integrally. In the case where the sensor 11 and the transmission unit 12 are configured in a non-integral manner, it is preferable that the transmission unit 12 and the battery incorporated in the transmission unit are attached to a golfer's arm or the like. With this configuration, the weight of the sensor main body attached to the club can be reduced, and the change in club specifications due to the attachment of the sensor 11 can be prevented.
- the sensor 11 is a 6-axis sensor that detects and outputs 3-axis acceleration and 3-axis angular velocity, but is not limited thereto.
- the sensor 11 may be a nine-axis sensor that measures the three-axis direction using geomagnetism in addition to the three-axis acceleration and the three-axis angular velocity.
- the sensor 11 may be composed of two sensors, a 6-axis sensor and a 3-axis geomagnetic sensor. Further, two acceleration sensors having different measurement ranges and one angular velocity sensor may be used. In this case, a slow operation such as a backswing uses a sensor with a narrow measurement range, and a quick operation such as a downswing uses a sensor with a wide measurement range. Thereby, the measurement accuracy can be improved.
- the sensor frequency used here is 200 Hz, but is preferably 500 Hz or more, more preferably 1000 Hz or more. The higher the frequency, the more detailed changes in operation can be captured.
- the golf equipment fitting system 2 is a computer device that includes a processor such as a CPU (Central Processing Unit) and a memory that stores a program executed by the processor.
- the golf equipment fitting system 2 includes a reception unit 20, a swing data acquisition unit 21, a swing data storage unit 22, a data classification unit 23, a data prediction unit 24, a swing response curved surface calculation unit 25, a time response curved surface calculation unit 26, and a simulation execution unit. 27 and a result output unit 28. These functions are realized by the CPU executing a program stored in the memory.
- the receiving unit 20 receives the sensor output data (swing data) transmitted by the transmitting unit 12.
- the swing data acquisition unit 21 acquires swing data via the reception unit 20.
- the swing data storage unit 22 stores in advance a plurality of swing data obtained by many players swinging a plurality of golf clubs.
- the data stored in the swing data storage unit 22 is not limited to swing data.
- head behavior data calculated based on swing data may be stored in the swing data storage unit 22.
- the data classification unit 23 classifies the swing data stored in the swing data storage unit 22. Although details will be described later, the data classification unit 23 classifies the swing data using the self-organizing map.
- the classification method is not limited to the self-organizing map.
- the data classification unit 23 uses various clustering methods such as neural network, support vector machine, Bayesian network, hidden Markov model, k-means method, cluster classification, principal component analysis, machine learning, and multivariate analysis. Also good. Golf experts may also classify based on their experience. Further, the data classifying unit 23 may classify the head behavior calculated based on the swing data without being limited to the swing data.
- the data prediction unit 24 refers to the swing data storage unit 22 and extracts swing data similar to the swing data acquired by the swing data acquisition unit 21. Then, the data predicting unit 24 predicts the swing data of the golf club that has not been swung based on the player data corresponding to the extracted swing data. The data prediction unit 24 may predict the head behavior calculated based on the swing data, not limited to the swing data.
- the swing response surface calculation unit 25 calculates a swing response surface when the golf club 1 is swung based on the swing data acquired by the swing data acquisition unit 21.
- the time response curved surface calculation unit 26 calculates a response surface of the swing time when the golf club 1 is swung based on the swing data acquired by the swing data acquisition unit 21.
- the simulation execution unit 27 performs a simulation by FEM (Finite Element Element Method) using the swing response curved surface and the time response curved surface.
- the result output unit 28 outputs the result of the simulation executed by the simulation execution unit 27.
- the golf club 1 used for obtaining swing data will be described.
- the swing data obtained by swinging the golf club 1 is used to construct the swing data storage unit 22.
- the player swings in accordance with the specifications of the golf club 1 (shaft weight, bending rigidity, torsional rigidity, etc.). If the specifications of the golf club 1 are different, the player's swing is different. For this reason, even if a simulation is performed based on swing data obtained using one golf club, it is difficult to obtain a reasonable simulation result.
- the weight of the shaft As an example of the three specifications of the golf club 1, the weight of the shaft, the bending rigidity of the shaft (hereinafter referred to as flex), and the bending rigidity distribution of the shaft (hereinafter referred to as tone) are used.
- the specs of the golf club 1 used exemplify those in which 3 specs are different at 3 levels, but are not limited thereto.
- FIG. 2A is a diagram showing an example of the bending rigidity (flex) of the shaft.
- a position of 920 mm from the end on the small diameter side of the shaft is supported from the lower side, and a position in the direction of 150 mm on the large diameter side (1070 mm from the end on the small diameter side) is further supported from above.
- a load of 3.0 kgf is applied at a position 10 mm to 10 mm.
- the amount of displacement of the narrow-diameter end at this time is the flex (bending rigidity) of the shaft.
- FIG. 2B is a diagram illustrating an example of shaft tone (bending stiffness distribution L (x)).
- the tone of the shaft is defined by the coefficient C of the function P indicating the point at which the bending of the shaft becomes the largest.
- EI (i) indicates bending rigidity
- x indicates a position on the shaft with respect to the tip of the shaft.
- a shaft having a kick point of less than 44.0% is a low kick point shaft (first tone)
- a shaft having a kick point of 44.0% or more and less than 45.0% is a middle kick point shaft (medium tone)
- a kick point is 45.0% or more.
- Lk and Lb are strictly defined as follows.
- Lk A straight line connecting both ends of the shaft when the ends of the shaft are bent by applying a compressive load so that the linear distance between the ends of the shaft is 98.5 to 99.5% of the shaft length. The distance between the intersection when the perpendicular is drawn from the apex of the curve and the tip end of the shaft.
- Lb When both ends of the shaft are curved by applying a compressive load so that the linear distance between both ends of the shaft is 98.5 to 99.5% of the shaft length, direct distance.
- the shaft tone is classified into the main tone closer to the grip, the tip tone closer to the head, and the middle tone in the middle where the shaft becomes the largest.
- the tone is assigned to one of the original tone, the first tone, and the middle tone depending on the value defined by the coefficient C of the function P.
- Swing data is acquired using the nine golf clubs 1 described above.
- torque shaft torsional rigidity
- shaft torsional rigidity distribution shaft weight distribution
- golf club length head weight
- club balance head center of gravity depth
- head center of gravity height head center of gravity
- head center of gravity head center of gravity
- FIG. 3A is a diagram showing an example of the torsional rigidity (torque) of the shaft.
- the torque of the shaft is defined by the twist angle of the shaft.
- the position of 1035 mm is fixed from the small-diameter side end of the shaft, and a torsional load is applied to a position of 45 mm from the tip of the shaft.
- a torsional load of 1.152 kgf is applied at a position 120 mm away from the shaft axis. This is synonymous with a torsional load of 1 ft ⁇ lb being applied to the shaft tip.
- the twist angle of the shaft end portion on the narrow diameter side is defined as the torque of the shaft.
- FIG. 3B is a diagram showing an example of the head center of gravity depth.
- the head center-of-gravity depth is a depth (distance) from the face surface to the center of gravity of the head.
- FIG. 3C is a diagram illustrating an example of the head center-of-gravity height and the head center-of-gravity distance.
- the head center-of-gravity height is the length from the leading edge to the center of gravity on the face surface.
- the head center-of-gravity distance is the length of a perpendicular extending from the shaft axis toward the center of gravity on the face surface.
- the torsional rigidity distribution of the shaft and the weight distribution of the shaft can be expressed in the same manner as the relationship between the bending rigidity distribution and the tone.
- Club balance (also known as swing weight) is how well the golf club head works.
- the goodness of the head means the weight of the head during a swing or waggle.
- the club balance is measured using a club balance meter “Golf Club Scale” manufactured by Kenneth Smith.
- the club hardness is the frequency of the golf club 1 with a grip and head attached to the shaft. This frequency is measured using “Golf
- FIG. 4 is a diagram showing the specifications of nine golf clubs used for trial hits for obtaining swing data.
- the specifications of the nine golf clubs are determined based on the experimental design L9 type orthogonal table.
- the shaft weight indicates a normalized value, and a smaller value means that the weight is heavier. In this embodiment, the shaft weight is 80 g when “0”, the shaft weight is 70 g when “0.5”, and the shaft weight is 60 g when “1”.
- the flex indicates a normalized value, and a smaller value means higher rigidity.
- the flex is 130 mm for “0”, the flex is 180 mm for “0.5”, and the flex is 220 mm for “1”.
- normalized values are shown for tone. “0” is the first tone, “0.5” is the middle tone, and “1” is the original tone.
- the number of clubs used is not limited to nine as long as it is a quantity that can be practically tested.
- the same head is attached to nine golf clubs 1 shown in FIG.
- the nine golf clubs 1 have the same shaft length, and the nine golf clubs 1 have the same weight.
- the golf club 1 having the same specifications other than the specifications to be fitted changes due to other factors can be eliminated.
- the sensor 11, the transmission unit 12, and devices necessary for operating these are inserted into the shafts of the nine golf clubs 1.
- the weight of the sensor 11, the transmission part 12, and the whole apparatus required in order to operate these is restrained to 30g. Thereby, the influence on the swing by the weight increase of the golf club 1 is suppressed. More preferably, it is 20 g or less. If it is 30 g or less, even if the device is attached to the club, a general lightweight grip can be used without changing the total weight or balance of the club.
- FIG. 5A is a diagram showing an example of swing data (acceleration).
- swing data (acceleration) of five players is shown.
- the solid line indicates acceleration in the x-axis direction
- the broken line indicates acceleration in the y-axis direction
- the alternate long and short dash line indicates acceleration in the z-axis direction.
- the vertical axis is the acceleration value normalized so that the absolute value is 1.
- the horizontal axis represents the time from the top (in a state where the golf club is swung up) to the impact (in the state where the head hits the ball). The time from top to impact is shown divided into 40.
- FIG. 5B is a diagram showing an example of swing data (angular velocity).
- swing data angular velocity
- the solid line shows the angular velocity around the x axis
- the broken line shows the angular velocity around the y axis
- the alternate long and short dash line shows the angular velocity around the z axis.
- the vertical axis represents the angular velocity value normalized so that the absolute value is 1.
- the horizontal axis is the time from top to impact. The time from top to impact is shown divided into 40.
- swing data of 126 players is acquired as described above. If such complex swing data exists for 126 people, it is difficult to classify these swing data with human eyes. Therefore, in this embodiment, the data classification unit 23 classifies these swing data using a self-organizing map.
- the self-organizing map (SOM: Self-Organizing Map) is an algorithm for performing clustering without a teacher, and is a data analysis method for nonlinearly mapping high-dimensional data onto a two-dimensional plane. By mapping high-dimensional and complex data onto a two-dimensional plane using a self-organizing map, clustering of swing data can be easily performed.
- the self-organizing map has an input layer and an output layer.
- the input layer in the present embodiment is swing data.
- the data classification unit 23 uses the swing data of the golf club 1 with the club number 5 shown in FIG. 4 among the swing data of the player.
- Each swing data is data obtained by dividing the time from the top to the impact by 40 as described above.
- Each swing data is data that is standardized so that the absolute value is 1.
- the reference vector m is defined by the following equation (3) using the neuron u. Note that i is a positive integer.
- the matrix M can be expressed by the following equation (4).
- L is the number of nodes of the matrix M.
- the data classification unit 23 assigns a random value to each neuron u. Thereafter, the data classification unit 23 gives the input vector s to the input layer. The data classification unit 23 determines an output layer node having a reference vector m closest to the input vector s given to the input layer. The node determined here is the winner node c. The data classification unit 23 calculates the winner node c based on the Euclidean distance between the input vector s and the reference vector m, as shown in the following equation (5).
- the data classification unit 23 learns the winner node c and nodes around the winner node c. Specifically, the data classifying unit 23 brings the winner node c and the surrounding nodes in the reference vector m closer to the input vector s according to the following equation (6).
- the data classification unit 23 calculates a function hci that determines the magnitude of learning according to the following equation (7).
- ri is a position on the output layer.
- rc is the coordinate of the winner node c.
- ⁇ is a positive constant and corresponds to the standard deviation of a normal distribution.
- the data classification unit 23 classified the swing data of 126 players into six acceleration x, y, z and angular velocity x, y, z separately by repeating the above learning a predetermined number of times. In this embodiment, the data classification unit 23 has repeated learning 10,000 times. Six data may be connected in series to form one data.
- FIG. 6 is a diagram showing a classification result of swing data of one axis (acceleration x-axis) as an example.
- the data classification unit 23 mathematically classifies the swing data in the swing data storage unit 22 using the self-organizing map.
- the swing data is classified as one of hexagonal cells, but is not limited to this.
- a regular polygon for example, square
- batch SOM may be used.
- six data of acceleration x, y, z and angular velocity x, y, z are classified separately, six maps are generated.
- FIG. 7 is a flowchart showing the operation of the golf equipment fitting system.
- the fitting target player swings the golf club 1 having the club number “5” out of the nine golf clubs 1.
- the sensor 11 outputs a detection result (swing data) during the swing operation to the transmission unit 12.
- the transmission unit 12 wirelessly transmits the swing data to the reception unit 20.
- the receiving unit 20 outputs the received swing data to the swing data acquiring unit 21.
- the swing data acquisition unit 21 acquires the swing data output from the reception unit 20 (step S1).
- the data predicting unit 24 refers to the swing data storage unit 22 classified in advance by the data classifying unit 23, and the other eight golf clubs 1 (club numbers “1” to “4” and “6”). ”To“ 9 ”) is predicted (step S2).
- FIG. 8 is a diagram for explaining a swing data prediction method.
- the swing data SD1 to SD9 are swing data of club numbers “1” to “9”, respectively.
- the difference data DD1 to DD4 and DD6 to DD9 are data indicating differences between the swing data SD1 to SD4 and SD6 to SD9, respectively, and the swing data SD5.
- the difference data DD1 to DD4 and DD6 to DD9 are stored in the swing data storage unit 22 for each of a plurality of players.
- the data prediction unit 24 predicts swing data of the other eight golf clubs 1 only from the classification of the golf club 1 with the club number “5”. This is based on the hypothesis that players with similar swings have similar adjustments when swinging on another shaft. Therefore, as shown in FIG. 8, the data predicting unit 24 calculates eight differences obtained by subtracting the data of the club number “5” from the eight data of the club numbers “1 to 4, 6 to 9” of each cluster. Data DD1 to DD4 and DD6 to DD9 are calculated.
- the data prediction unit 24 determines where the acquired new data ND is classified in the self-organizing map. Determine. Specifically, the data prediction unit 24 searches all the swing data in the swing data storage unit 22 and extracts the swing data classification closest to the new data ND. As a result, the swing data of a player whose swing is similar to the player who made the trial can be specified. Note that the data classification unit 23 may perform classification again by entering new data ND.
- the data prediction unit 24 calculates the average value of all the difference data DD1 in the extracted classification. Then, the data prediction unit 24 calculates the swing data with the club number “1” by adding the calculated average value of the difference data DD1 to the new data ND. The data prediction unit 24 similarly calculates swing data for the swing data of the other golf clubs 1 (club numbers “2” to “4” and “6” to “9”).
- the average value of DD1 of the classified group is added to ND, but DD1 of the player with the closest swing data may be added to ND.
- six data of the six-axis sensor are handled separately here, the six data may be connected in series and handled as one data.
- the data prediction unit 24 holds time-series swing data that is regarded as having been swung once by each of the nine golf clubs 1.
- the data prediction unit 24 obtains one piece of acquired swing data (club number “5”) and eight pieces of predicted swing data (club numbers “1” to “4” and “6” to “9”). Are converted into movement speed data of the grip portion of the golf club 1 and shaft rotation data of the shaft. This conversion is performed by geometric conversion based on the mounting position of the sensor 11 inserted into the golf club 1 and the predetermined two-point positional relationship of the grip portion of the golf club 1. .
- the data prediction unit 24 converts only the swing data from the top (the state where the golf club is raised) to the impact (the state where the head hits the ball) into the movement speed data and the shaft rotation data. Not limited to.
- the data prediction unit 24 may convert swing data from an address (a state where the golf club is attached to the ground) to an impact (a state where the head hits the ball) into movement speed data and shaft rotation data.
- the swing response surface calculation unit 25 reads the swing data of the nine clubs held in the data prediction unit 24, and calculates a swing response surface obtained by converting the skill and skill of the test batter into a linear function (Ste S3).
- the swing response surface is the relationship between the moving speed data and the shaft rotation data obtained when the golf club 1 is tested with nine types of golf clubs shown in FIG. 4 and the three specifications of the golf club 1 (shaft weight, flex, and tone). It is a formula.
- a linear function is used here, a quadratic function, a high-order function, and various functions can be used.
- Swing data measured by trial hitting a plurality of golf clubs 1 is expressed by f1 to f9 as shown in equation (8).
- the swing data is from f1 to f9, but the value varies depending on the number of trial hits of the golf club 1.
- fj (ti) is a measurement amount by the j-th golf club 1. Specifically, fj (ti) indicates the respective amounts of the three-direction acceleration ⁇ ax, ay, az ⁇ and the three-direction angular velocity ⁇ x, ⁇ y, ⁇ z ⁇ .
- x, y, and z are design variables.
- x is the first spec (shaft weight)
- y is the second spec (flex)
- z is the third spec (tone).
- the numbers 1 to n in x1 to xn, y1 to yn, and z1 to nz correspond to the numbers of the respective clubs.
- the x bar, y bar, and z bar are given arbitrary values convenient for each analysis. For example, intermediate values of design variables may be set for x bar, y bar, and z bar, respectively.
- the swing response surface calculation unit 25 calculates the coefficients a1 to a4 of the response surface as shown in Equation (9) by solving Equation (8).
- n 5 or more
- the swing response surface calculation unit 25 uses a generalized inverse matrix A + (also referred to as Moore-Penrose inverse matrix or pseudo inverse matrix).
- This method is a method for calculating an approximate solution when there is no exact solution. That is, this method is a method for calculating a solution that minimizes the error
- numerical calculation software “MATLAB” manufactured by MathWorks was used.
- the coefficients a1 to a4 obtained by the equation (9) are values corresponding to the skill of the test hitter and the trap of the swing.
- the swing response curved surface calculation unit 25 calculates swing data f of specifications that are not actually measured according to the equation (10). In other words, the swing response curved surface calculation unit 25 calculates an approximate value of the three-way acceleration and the three-way angular velocity for an arbitrary specification ⁇ x, y, z ⁇ according to the equation (10).
- the swing response curved surface calculation unit 25 calculates swing data of the mth golf club 1 that has not been measured according to the equation (11).
- Fm (t) shown in Expression (11) is a swing response curved surface.
- the time response curved surface calculation unit 26 reads the swing data of the nine clubs held in the data prediction unit 24. And the time response curved surface calculation part 26 calculates the time response curved surface for prescribing
- step S4 the time response curved surface calculation process executed in step S4 will be described.
- the swing time changes according to the golf club 1
- the sampling time is normalized as shown in Expression (12).
- tk is the swing time of each golf club 1.
- the time response curved surface calculation unit 26 may terminate the calculation process at tmin with the shortest swing time among the nine clubs in order to save the time and effort of normalization.
- the time response curved surface is an expression showing the relationship between the swing times of the nine types of golf clubs 1 shown in FIG. 4 and the three specifications (shaft weight, flex, and tone) of the golf club.
- the time response curved surface calculation unit 26 can calculate a time response curved surface according to the equations (13) to (15).
- g1 to g9 are swing times of nine golf clubs 1.
- the time response curved surface calculation unit 26 calculates the coefficients b1 to b4 according to the equation (14).
- the coefficients b1 to b4 are values corresponding to the player's swing time. By this processing, the time response curved surface calculation unit 26 can calculate the difference in swing time due to the difference in weight of the golf club 1.
- the time response curved surface calculation unit 26 calculates gm according to the equation (15).
- Gm shown in Expression (15) is a time response curved surface.
- swing data fm ′ (t) is calculated.
- the swing data fm '(t) is swing data newly calculated based on the swing response curved surface and the time response curved surface.
- the simulation execution unit 27 uses the swing response curved surface fm calculated by the swing response curved surface calculation unit 25 and the time response curved surface gm calculated by the time response curved surface calculation unit 26 to swing the golf club 1 that has not been measured. Data fm ′ (t) is calculated. Then, the simulation execution unit 27 simulates the movement of the head of the golf club 1 by the dynamic finite element method based on the calculated swing data fm ′ (t) (step S5).
- the simulation results showing the motion of the golf club 1 obtained by this analysis are the club speed at impact, the face angle, and the impact loft (the loft angle at impact).
- Club speed affects the flight distance of the ball.
- the face angle affects the flying ball direction.
- Impact loft affects ballistic height.
- the simulation result calculated by the simulation execution unit 27 is not limited to the club speed, the face angle, and the impact loft. For example, as a simulation result, a club pass, an attack angle, a ball speed, a flight distance, and the like may be calculated.
- the simulation execution unit 27 analyzes the motion of the golf club head using a swing response surface obtained by linearizing the player's skill and wrinkle and a time response surface formulated by the player's swing time. Therefore, the simulation execution unit 27 can simulate the motion of the golf club 1 in consideration of the player's skill, habit, and swing time (change in swing time according to the specifications of the golf club 1).
- FIG. 9 is a diagram illustrating swing data when the shaft weight is the same.
- FIG. 10 is a diagram showing swing data when shaft weights are different. 9 and 10, an angular velocity ⁇ x around the x-axis is shown as an example of the swing data.
- the shaft weight is the same, the variation in swing time is small as shown in FIG.
- the shaft weight is different from 40 g, 60 g, and 80 g, respectively, the swing time varies greatly as shown in FIG.
- Equation (9) in order to solve Equation (9) using the generalized inverse matrix, it is necessary to keep t constant. If the swing time does not change significantly as shown in FIG. 9, no major error will be produced no matter how the swing time is made constant. However, when the swing times are greatly different as shown in FIG. 10, a large error is generated if t is forced to be constant. Therefore, the time response surface calculation unit 26 calculates a time response surface after each t is standardized. The simulation executing unit 27 can calculate swing data reflecting an appropriate swing time by converting t again according to the calculated time response curved surface.
- the simulation execution unit 27 calculates swing data using the swing response curved surface and the time response curved surface, so that the calculation accuracy can be improved even when a specification that has little influence on the swing time is changed.
- FIG. 11 is a diagram showing swing data calculated using only the swing response curved surface.
- FIG. 12 is a diagram showing swing data calculated using a swing response curved surface and a time response curved surface.
- the simulation execution unit 27 can perform a simulation using the swing response surface and the time response surface, thereby obtaining a more accurate simulation result.
- the shaft weight level (first specification division level number i) is 3, the flex level (second specification division level number j) is 5, and the tone level (third specification division level).
- the number of levels k) was 5. The number of division levels is set in order to divide the 9 specs actually tested into an arbitrary number.
- the shaft weight has three levels (60 g, 70 g, and 80 g), and the flex has five levels (X, S, R, A, and L in order from the hardest).
- the tone has five levels (0 (first tone), 0.25 (first tone), 0.5 (medium tone), 0.75 (middle tone), and 1 (original tone)).
- the result output unit 28 displays the simulation result, for example, with the club speed as the vertical axis and the result number as the horizontal axis.
- FIG. 13 is a diagram showing simulation results.
- FIG. 13 shows that the greater the club speed value, the faster the speed (the flying distance increases), and the smaller the club speed value, the slower the speed (the flying distance does not appear).
- the golf club 1 having a shaft weight of “60 g”, a flex of “X”, and a tone of “medium tone” is selected.
- the selection of the golf club 1 is performed by the simulation execution unit 27. Note that the user may check the simulation result and select the golf club 1 having the optimum specifications.
- the face angle, impact loft, and the like can be expressed by the same method.
- the result output unit 28 may display the tendency of specifications in a natural language. That is, the result output unit 28 converts the simulation result by the simulation execution unit 27 into a natural language and displays it according to the relationship between each absolute value and inclination. For example, if the purpose of the fitting is to increase the club speed, the result output unit 28 indicates that “the harder the flex, the higher the club speed”, “the lighter the shaft, the higher the club speed”, “when the tone is the original tone "The club speed increases the most” and "the influence of the shaft weight is the largest” is displayed.
- the result output unit 28 indicates that “the harder the flex is, the higher the ball is”, “the lighter the shaft is, the higher the ball is”, In the case of, the ball goes up the most, “the influence of the flex is the greatest”, etc. are displayed. Thereby, since the user of the golf equipment fitting system 2 can grasp the tendency of specifications in a natural language, the golf equipment can be easily selected.
- the result output unit 28 outputs the simulation result in association with the purpose of the fitting and the specification. Therefore, the user can understand the association with the spec at a glance.
- the result output unit 28 outputs all possible specs instead of outputting only one point of the specifications of the golf shaft when the club speed is maximum. Thereby, the user can grasp the specs that can achieve an appropriate flight distance, an appropriate trajectory height, and an appropriate trajectory bend. Therefore, the specifications of the golf club 1 can be selected according to the player's preference. This is particularly effective when the face angle is calculated. If the maximum bending shaft is selected because it is desired to bend the trajectory, the trajectory will bend too much. For this reason, it is preferable for the user that an appropriate trajectory curve can be selected.
- FIG. 13 shows an example in which the result output unit 28 displays the character information indicating the specification
- the result output unit 28 may display the information by color for each specification.
- the result output unit 28 may devise a plotting method, display a bar graph, or display a three-dimensional graph.
- the result output unit 28 may change and display the line color density so that the one containing the best value is conspicuous.
- the first spec is described as the shaft weight (3 levels), the second spec as flex (5 levels), and the third spec as the tone (5 levels), but other specifications are used. May be.
- the first specification may be torque (5 levels)
- the second specification may be flex (5 levels)
- the third specification may be tone (5 levels).
- the first specification may be flex (5 levels)
- the second specification may be torque (5 levels)
- the third specification may be weight (3 levels).
- the shaft specification is described as an example.
- the simulation execution unit 27 may perform the simulation of this embodiment using the club specification, the head specification, the grip specification, and the like.
- the player does not seek only one performance for the golf club 1 but seeks complex performance. For example, maximizing club speed to prevent slicing and simultaneously increase trajectory.
- the ball trajectory is determined by the height of the trajectory and the direction of the trajectory.
- the ballistic height has three levels (High (high trajectory), Mid (medium trajectory), and Low (low trajectory)).
- the ballistic direction has three levels (Fade (Fade), Straight (Draw)), and Draw (Draw). In this case, based on the player's request, one of the nine trajectories in which the trajectory height and the trajectory direction are combined is selected.
- the fade is a trajectory that turns to the right in the case of a right strike.
- a draw is a trajectory that turns to the left when hitting right.
- the result output unit 28 outputs a condition that satisfies the selected trajectory while maximizing the club speed.
- a specification that maximizes the objective function F is required.
- f1 is first result data (for example, club speed)
- f2 is second result data (for example, face angle)
- f3 is third result data (for example, impact loft).
- ⁇ , ⁇ , and ⁇ are weighting factors.
- ⁇ , ⁇ , and ⁇ are appropriately set according to the player's request. In general, ⁇ is preferably 1 to 3 times the value of ( ⁇ + ⁇ ). This is because club speed is most important for players.
- the result output unit 28 may convert a specification indicating the maximum value of the simulation result (club speed, impact loft, face angle, etc.) into the product name of the golf equipment and display it. Thereby, the golf equipment fitting system 2 can be practically used.
- the result output unit 28 can display whether or not it is suitable for realizing the trajectory selected based on the player's request. For this reason, the user of the golf equipment fitting system 2 can easily select a golf equipment that realizes a desired trajectory. In other words, the golf equipment fitting system 2 enables the fitting of the golf equipment. In addition, measurement, analysis, and result display can be performed in a short time, and the user can visually determine the specifications of the optimum golf equipment.
- the shaft weight, flex and tone are selected, but not limited to this.
- the number of specifications is not limited to three.
- the specification used for the simulation is preferably a specification in which the swing time is easily changed.
- Others include shaft bending rigidity, shaft torsional rigidity, shaft weight, shaft bending rigidity distribution, shaft torsional rigidity distribution, shaft weight distribution, golf club length, head weight, club balance, head center of gravity depth, head center of gravity. Any specs of height, head center-of-gravity distance, grip weight, loft angle, lie angle, and face angle may be used.
- time response curved surface calculation unit 26 may calculate the time response curved surface by extending each swing data so as to match the longest swing time so that all the swing times are equal. In this case, the calculation time can be shortened.
- FIG. 14 is a diagram showing an example of the degree of influence.
- the influence degree is a value indicating how much the head behavior is affected when the spec is changed.
- a simulation is performed by selecting a plurality of different specifications, it is better to combine the ones having the closest influence as much as possible. The reason for this will be described below.
- the simulation execution unit 27 performs a simulation based on three specifications including a head weight (influence degree: 5), a shaft torsional rigidity distribution (influence degree: 1), and a head center of gravity height (influence degree: 1).
- the data is greatly influenced by the spec (head weight) having a large influence, and the result of the spec (shaft torsional rigidity distribution and head center of gravity height) having a small influence is almost unknown.
- flex bending stiffness
- torsional stiffness torsional stiffness
- shaft weight a combination of torsional stiffness (torque), and shaft weight
- flex stiffness torsional stiffness
- bending stiffness distribution tone
- flexural rigidity flex
- shaft weight a combination of flexural rigidity (flex), shaft weight, and shaft weight distribution
- flexural rigidity flex
- club length a combination of flexural rigidity (flex), club length, and head weight
- head weight a combination of flexural rigidity (flex), club length, and head weight.
- the club can be suitably fitted.
- a combination of the center of gravity height, the center of gravity depth, and the center of gravity distance of the head may be used.
- the fitting of the head can be suitably performed.
- a combination of the loft angle, lie angle, and face angle of the head may be used. Also in this case, the fitting of the head can be suitably performed.
- club hardness As mentioned above, although the suitable combination was illustrated, it is not limited to this.
- the head behavior includes a swing data acquisition unit 21, a swing data storage unit 22, a data classification unit 23, a data prediction unit 24, a swing response surface calculation unit 25, a time response surface calculation unit 26, and a simulation execution. It was decided to be calculated by the unit 27.
- the simulation execution unit 27 simply calculates the head behavior including the position coordinates and the posture of the head with the shaft as a rigid body.
- the simulation execution unit 27 requires a high-performance computer. Therefore, it is desirable that the computer that executes the simulation execution unit 27 is installed in a server or the like and provided separately from the swing data acquisition unit 21.
- the head behavior is measured without using the simulation execution unit 27.
- the swing data acquisition unit 21 directly measures the head behavior using a camera, a sound wave, or the like.
- the swing data storage unit 22 stores the head behavior measured by the swing data acquisition unit 21.
- a high-performance computer is not necessary and can be executed by, for example, a smartphone.
- the data classification unit 23 classifies the head behavior stored in the swing data storage unit 22 based on the table shown in FIG.
- the data classification unit 23 determines to which group the newly measured head behavior data belongs among the preset groups 1 to 45 shown in FIG. In this embodiment, the data classification unit 23 performs classification by paying attention to three items of club speed, club pass, and attack angle.
- the data classification unit 23 determines the measured head behavior. Is determined to belong to group 14.
- the data prediction unit 24 predicts the optimum shaft specifications based on the table shown in FIG.
- the weight and flex are predicted from the club speed
- the flex level is predicted from the club pass
- the tone is predicted from the attack angle.
- the data prediction unit 24 determines that the optimum spec (weight is 40 to 50 [g], flex is “ A ”and the tone is“ medium tone ”).
- the result output unit 28 outputs the recommended golf club 1 based on the shaft specifications predicted by the data prediction unit 24.
- the swing response curved surface calculation unit 25, the time response curved surface calculation unit 26, and the simulation execution unit 27 can be omitted from the golf equipment fitting system 2.
- the data classification unit 23 is not limited to the table of FIG. 15, and can classify the head behavior stored in the swing data storage unit 22 based on various classification methods.
- the data prediction unit 24 is not limited to the table of FIG. 16, and can predict the specifications of the golf club 1 based on various prediction methods.
- the golf equipment fitting system 2 of this embodiment includes the swing data acquisition unit 21 that acquires swing data from the sensor 11 attached to the golf club 1 and the swing data acquired by the swing data acquisition unit 21. Is measured by the sensor 11 by referring to the swing data storage unit 22 for storing the data, the data classification unit 23 for classifying the swing data stored in the swing data storage unit 22, and the swing data classified by the data classification unit 23.
- a data predicting unit 24 that predicts swing data of specifications that are not performed. Thereby, an appropriate golf equipment can be selected with a small number of trial hits.
- a program for realizing each function of the golf equipment fitting system 2 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into the computer system and executed, thereby executing the above-described units. You may perform the process of.
- “loading and executing a program recorded on a recording medium into a computer system” includes installing the program in the computer system.
- the “computer system” here includes an OS and hardware such as peripheral devices. Further, the “computer system” may include a plurality of computer devices connected via a network including a communication line such as the Internet, WAN, LAN, and dedicated line.
- the “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM or a CD-ROM, and a hard disk incorporated in a computer system.
- the recording medium storing the program may be a non-transitory recording medium such as a CD-ROM.
- the recording medium also includes a recording medium provided inside or outside that is accessible from the distribution server in order to distribute the program.
- the code of the program stored in the recording medium of the distribution server may be different from the code of the program that can be executed by the terminal device. That is, the format stored in the distribution server is not limited as long as it can be downloaded from the distribution server and installed in a form that can be executed by the terminal device.
- the program may be divided into a plurality of parts, downloaded at different timings, and combined in the terminal device, or the distribution server that distributes each of the divided programs may be different.
- the “computer-readable recording medium” holds a program for a certain period of time, such as a volatile memory (RAM) inside a computer system that becomes a server or a client when the program is transmitted via a network.
- the program may be for realizing a part of the functions described above.
- achieve the function mentioned above in combination with the program already recorded on the computer system what is called a difference file (difference program) may be sufficient.
- part or all of the above-described functions may be realized as an integrated circuit such as an LSI (Large Scale Integration).
- LSI Large Scale Integration
- Each function described above may be individually made into a processor, or a part or all of them may be integrated into a processor.
- the method of circuit integration is not limited to LSI, and may be realized by a dedicated circuit or a general-purpose processor.
- an integrated circuit based on the technology may be used.
Abstract
Description
本願は、2015年5月20日に、日本に出願された特願2015-102548号に基づき優先権を主張し、その内容をここに援用する。 The present invention relates to a golf equipment fitting system, a golf equipment fitting method, a golf equipment fitting program, a golf swing classification method, a golf shaft fitting system, a golf shaft fitting method, and a golf shaft fitting program.
This application claims priority based on Japanese Patent Application No. 2015-102548 filed in Japan on May 20, 2015, the contents of which are incorporated herein by reference.
[1] スペックの異なる複数のゴルフクラブに取り付けられたセンサからスイングデータを取得するスイングデータ取得部と、前記スイングデータ取得部により取得されたスイングデータを格納するスイングデータ格納部と、前記スイングデータ格納部に格納されたスイングデータを分類するデータ分類部と、前記データ分類部によって分類されたスイングデータを参照することにより、前記センサによって測定されていないスペックのスイングデータを予測するデータ予測部と、を有するゴルフ用具フィッティングシステム。 The present invention has the following aspects.
[1] A swing data acquisition unit that acquires swing data from sensors attached to a plurality of golf clubs having different specifications, a swing data storage unit that stores swing data acquired by the swing data acquisition unit, and the swing data A data classifying unit for classifying swing data stored in the storage unit, and a data predicting unit for predicting swing data of a spec that is not measured by the sensor by referring to the swing data classified by the data classifying unit; , Having a golf equipment fitting system.
図1は、第1の実施形態のゴルフ用具フィッティングシステムを示すブロック図である。この図において、ゴルフクラブ1は、予めスペックが既知であるゴルフシャフトが装着されている。ゴルフクラブ1は、グリップ部分のシャフト内部にセンサ11と送信部12を備えている。送信部12は、センサ11の出力を無線通信によって外部へ送信する。 (First embodiment)
FIG. 1 is a block diagram illustrating a golf equipment fitting system according to a first embodiment. In this figure, the
L(x)=C0×P0(x)+C1×P1(x)+C2×P2(x)+C3×P3(x) FIG. 2B is a diagram illustrating an example of shaft tone (bending stiffness distribution L (x)). The tone of the shaft is defined by the coefficient C of the function P indicating the point at which the bending of the shaft becomes the largest. In FIG. 2B, EI (i) indicates bending rigidity, and x indicates a position on the shaft with respect to the tip of the shaft. The condition of the shaft is expressed by the following formula.
L (x) = C0 * P0 (x) + C1 * P1 (x) + C2 * P2 (x) + C3 * P3 (x)
キックポイント(%)=(Lk/Lb)×100 Also, the tone may be defined as follows. In a state where the shaft is bent, the point that protrudes most in the circumferential direction of the shaft due to the bending is set as the apex, and the apex, the tip end portion, and the distance Lk are measured. The ratio of the distance Lk to the shaft length Lb (the distance obtained by connecting both ends of the shaft during bending with a straight line) when the above-described bending is performed is defined as a kick point value. That is, the kick point is obtained using the following equation.
Kick point (%) = (Lk / Lb) × 100
Lk:前記シャフトの両端同士に、前記シャフトの両端の直線距離がシャフト長の98.5~99.5%となるように圧縮荷重をかけることで湾曲させた際の、シャフト両端同士を結ぶ直線に前記湾曲の頂点から垂線を引いた際の交点とシャフトのチップ端部との距離。
Lb:前記シャフトの両端に、前記シャフトの両端同士の直線距離がシャフト長の98.5~99.5%となるように圧縮荷重をかけることで湾曲させた際の、前記シャフトの両端同士の直線距離。 Lk and Lb are strictly defined as follows.
Lk: A straight line connecting both ends of the shaft when the ends of the shaft are bent by applying a compressive load so that the linear distance between the ends of the shaft is 98.5 to 99.5% of the shaft length. The distance between the intersection when the perpendicular is drawn from the apex of the curve and the tip end of the shaft.
Lb: When both ends of the shaft are curved by applying a compressive load so that the linear distance between both ends of the shaft is 98.5 to 99.5% of the shaft length, direct distance.
F=α×f1+β×f2+γ×f3 Here, the fade is a trajectory that turns to the right in the case of a right strike. A draw is a trajectory that turns to the left when hitting right. For example, the
F = α × f1 + β × f2 + γ × f3
次に、図1を参照して、第2の実施形態について説明する。第1の実施形態において、ヘッド挙動は、スイングデータ取得部21、スイングデータ格納部22、データ分類部23、データ予測部24、スイング応答曲面算出部25、時間応答曲面算出部26、及びシミュレーション実行部27によって算出されることとした。また、シミュレーション実行部27は、簡易的にシャフトを剛体として、ヘッドの位置座標及び姿勢からなるヘッド挙動を算出することとした。第1の実施形態においては、シミュレーション実行部27に高性能な計算機が必要になる。そのため、シミュレーション実行部27を実行する計算機はサーバー等に設置し、スイングデータ取得部21とは別々に設けられることが望ましい。 (Second Embodiment)
Next, a second embodiment will be described with reference to FIG. In the first embodiment, the head behavior includes a swing
2 ゴルフ用具フィッティングシステム
11 センサ
20 受信部
21 スイングデータ取得部
22 スイングデータ格納部
23 データ分類部
24 データ予測部
25 スイング応答曲面算出部
26 時間応答曲面算出部
27 シミュレーション実行部
28 結果出力部 DESCRIPTION OF
Claims (22)
- スペックの異なる複数のゴルフクラブに取り付けられたセンサからスイングデータを取得するスイングデータ取得部と、
前記スイングデータ取得部により取得されたスイングデータを格納するスイングデータ格納部と、
前記スイングデータ格納部に格納されたスイングデータを分類するデータ分類部と、
前記データ分類部によって分類されたスイングデータを参照することにより、前記センサによって測定されていないスペックのスイングデータを予測するデータ予測部と、
を有するゴルフ用具フィッティングシステム。 A swing data acquisition unit for acquiring swing data from sensors attached to a plurality of golf clubs having different specifications;
A swing data storage unit for storing the swing data acquired by the swing data acquisition unit;
A data classification unit for classifying swing data stored in the swing data storage unit;
A data prediction unit that predicts swing data of a specification that is not measured by the sensor by referring to the swing data classified by the data classification unit;
A golf equipment fitting system comprising: - 前記データ予測部により予測された前記スイングデータを用いて、応答曲面法によってスイング応答曲面を算出するスイング応答曲面算出部と、
前記データ予測部により予測された前記スイングデータを用いて、応答曲面法によって時間応答曲面を算出する時間応答曲面算出部と、
前記スイング応答曲面と前記時間応答曲面とから前記センサによって測定されていないスペックのスイングデータを算出し、算出された前記スイングデータに基づき、ゴルフクラブのスイングのシミュレーションを実行するシミュレーション実行部と、
を更に有する請求項1記載のゴルフ用具フィッティングシステム。 Using the swing data predicted by the data prediction unit, a swing response surface calculation unit that calculates a swing response surface by a response surface method;
Using the swing data predicted by the data prediction unit, a time response surface calculation unit that calculates a time response surface by a response surface method,
A simulation execution unit that calculates swing data of a spec that is not measured by the sensor from the swing response curved surface and the time response curved surface, and executes a simulation of a golf club swing based on the calculated swing data;
The golf equipment fitting system according to claim 1, further comprising: - 前記シミュレーション実行部は、前記データ予測部によって予測された前記スイングデータと有限要素法を用いて、インパクトの瞬間のヘッド姿勢を算出する
請求項2記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to claim 2, wherein the simulation execution unit calculates a head posture at the moment of impact using the swing data predicted by the data prediction unit and the finite element method. - 前記シミュレーション実行部によるシミュレーション結果を出力する結果出力部を更に有する
請求項2記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to claim 2, further comprising a result output unit that outputs a simulation result by the simulation execution unit. - 前記結果出力部は、前記シミュレーション実行部によるシミュレーション結果を、自然言語に変換して出力する
請求項4記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to claim 4, wherein the result output unit converts a simulation result by the simulation execution unit into a natural language and outputs the result. - 前記シミュレーションに用いられる複数の前記ゴルフクラブの前記スペックは、互いの影響度の差が所定以内である
請求項2記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to claim 2, wherein the specs of the plurality of golf clubs used in the simulation have a difference in influence between each other within a predetermined range. - 前記データ分類部は、教師なし学習による分類方法を用いて前記スイングデータ格納部に格納された前記スイングデータを分類する
請求項1乃至6のいずれか一項に記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to any one of claims 1 to 6, wherein the data classification unit classifies the swing data stored in the swing data storage unit using a classification method based on unsupervised learning. - 前記データ分類部は、前記教師なし学習による分類方法として、自己組織化マップを用いて前記スイングデータ格納部に格納された前記スイングデータを分類する
請求項7記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to claim 7, wherein the data classification unit classifies the swing data stored in the swing data storage unit using a self-organizing map as a classification method by the unsupervised learning. - 前記スイングデータ格納部は、特定のゴルフクラブのスイングデータと他のゴルフクラブのスイングデータとの差分である差分データを、複数のプレイヤー毎に格納し、
前記データ予測部は、前記スイングデータ取得部によって前記特定のゴルフクラブのスイングデータが新たに取得された場合、前記新たに取得されたスイングデータと同じ分類に属するスイングデータの前記差分データを前記スイングデータ格納部から読み出し、読み出された前記差分データを用いて、前記他のゴルフクラブのスイングデータを予測する
請求項1乃至8のいずれか一項に記載のゴルフ用具フィッティングシステム。 The swing data storage unit stores difference data, which is a difference between swing data of a specific golf club and swing data of another golf club, for each of a plurality of players.
When the swing data acquisition unit newly acquires the swing data of the specific golf club, the data prediction unit uses the difference data of the swing data belonging to the same classification as the newly acquired swing data to the swing 9. The golf equipment fitting system according to claim 1, wherein swing data of the other golf club is predicted using the difference data read out from the data storage unit and read out. - 前記スイングデータ取得部は、前記ゴルフクラブのヘッド挙動を測定し、
前記データ分類部は、前記スイングデータ取得部によって測定されたヘッド挙動が、予め設定された複数のグループのうちのいずれのグループに属するかを判別し、
前記データ予測部は、前記データ分類部によって判別されたグループに基づき、前記ゴルフクラブの最適なスペックを予測する
請求項1記載のゴルフ用具フィッティングシステム。 The swing data acquisition unit measures the head behavior of the golf club,
The data classification unit determines which group of a plurality of preset groups the head behavior measured by the swing data acquisition unit belongs,
The golf equipment fitting system according to claim 1, wherein the data prediction unit predicts an optimum specification of the golf club based on the group determined by the data classification unit. - 前記センサは、3軸の加速度及び3軸の角速度を検出する6軸センサである
請求項1乃至10のいずれか一項に記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to any one of claims 1 to 10, wherein the sensor is a six-axis sensor that detects a triaxial acceleration and a triaxial angular velocity. - 前記センサは、3軸の加速度、3軸の角速度、及び3軸の方位を検出する9軸センサである
請求項1乃至10のいずれか一項に記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to any one of claims 1 to 10, wherein the sensor is a nine-axis sensor that detects three-axis acceleration, three-axis angular velocity, and three-axis azimuth. - 前記センサは、3軸の加速度及び3軸の角速度を検出する6軸センサと、3軸の方位を検出する地磁気センサとから構成される
請求項1乃至10のいずれか一項に記載のゴルフ用具フィッティングシステム。 11. The golf equipment according to claim 1, wherein the sensor includes a six-axis sensor that detects a triaxial acceleration and a triaxial angular velocity, and a geomagnetic sensor that detects a triaxial direction. Fitting system. - 前記センサは、前記ゴルフクラブのグリップに取り付けられる
請求項1乃至13のいずれか一項に記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to any one of claims 1 to 13, wherein the sensor is attached to a grip of the golf club. - 前記スイングデータ格納部は、複数のプレイヤーの前記スイングデータを格納したデータベースである
請求項1乃至14のいずれか一項に記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to any one of claims 1 to 14, wherein the swing data storage unit is a database storing the swing data of a plurality of players. - 前記スペックの異なる複数の前記ゴルフクラブは、実験計画法によって規定されたL4型直行表に基づいて選定される
請求項1乃至15のいずれか一項に記載のゴルフ用具フィッティングシステム。 The golf equipment fitting system according to any one of claims 1 to 15, wherein the plurality of golf clubs having different specifications are selected based on an L4 type orthogonal table defined by an experimental design method. - スペックの異なる複数のゴルフクラブに取り付けられたセンサからスイングデータを取得するスイングデータ取得手順と、
前記スイングデータ取得手順で取得されたスイングデータをスイングデータ格納部に格納するスイングデータ格納手順と、
前記スイングデータ格納部に格納されたスイングデータを分類するデータ分類手順と、
前記データ分類手順で分類されたスイングデータを参照することにより、前記センサによって測定されていないスペックのスイングデータを予測するデータ予測手順と、
を有するゴルフ用具フィッティング方法。 Swing data acquisition procedure for acquiring swing data from sensors attached to a plurality of golf clubs having different specifications;
A swing data storage procedure for storing the swing data acquired in the swing data acquisition procedure in a swing data storage unit;
A data classification procedure for classifying the swing data stored in the swing data storage unit;
A data prediction procedure for predicting swing data of a specification not measured by the sensor by referring to the swing data classified in the data classification procedure;
A golf equipment fitting method comprising: - スペックの異なる複数のゴルフクラブに取り付けられたセンサからスイングデータを取得するスイングデータ取得手順と、
前記スイングデータ取得手順で取得されたスイングデータをスイングデータ格納部に格納するスイングデータ格納手順と、
前記スイングデータ格納部に格納されたスイングデータを分類するデータ分類手順と、
前記データ分類手順で分類されたスイングデータを参照することにより、前記センサによって測定されていないスペックのスイングデータを予測するデータ予測手順と、
をコンピュータに実行させるためのゴルフ用具フィッティングプログラム。 Swing data acquisition procedure for acquiring swing data from sensors attached to a plurality of golf clubs having different specifications;
A swing data storage procedure for storing the swing data acquired in the swing data acquisition procedure in a swing data storage unit;
A data classification procedure for classifying the swing data stored in the swing data storage unit;
A data prediction procedure for predicting swing data of a specification not measured by the sensor by referring to the swing data classified in the data classification procedure;
A golf equipment fitting program for causing a computer to execute. - ゴルフクラブに取り付けられたセンサからスイングデータを取得し、該スイングデータを自己組織化マップによって分類するゴルフスイング分類方法。 Golf swing classification method for acquiring swing data from a sensor attached to a golf club and classifying the swing data by a self-organizing map.
- 請求項1乃至16のいずれか一項に記載のゴルフ用具フィッティングシステムを用いる、ゴルフシャフトフィッティングシステム。 A golf shaft fitting system using the golf equipment fitting system according to any one of claims 1 to 16.
- 請求項17に記載のゴルフ用具フィッティング方法を用いる、ゴルフシャフトフィッティング方法。 A golf shaft fitting method using the golf equipment fitting method according to claim 17.
- 請求項18記載のゴルフ用具フィッティングプログラムを用いる、ゴルフシャフトフィッティングプログラム。 A golf shaft fitting program using the golf equipment fitting program according to claim 18.
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US15/573,943 US20180290034A1 (en) | 2015-05-20 | 2016-04-28 | Golf gear fitting system, golf gear fitting method, golf gear fitting program, golf swing classification method, golf shaft fitting system, golf shaft fitting method, and golf shaft fitting program |
JP2016533211A JP6160778B2 (en) | 2015-05-20 | 2016-04-28 | Golf equipment fitting system, golf equipment fitting method, golf equipment fitting program, golf swing classification method, golf shaft fitting system, golf shaft fitting method, and golf shaft fitting program |
EP16796288.5A EP3299069A4 (en) | 2015-05-20 | 2016-04-28 | Golf gear fitting system, golf gear fitting method, golf gear fitting program, golf swing classification method, golf shaft fitting system, golf shaft fitting method, and golf shaft fitting program |
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