KR101844280B1 - System for analyzing weight shift during golf swing and method thereof - Google Patents

Abstract

The present invention relates to a method for analyzing weight movement during a golf swing, comprising the steps of: rearranging a weighted sensor ID in a weight movement sensing device; Mapping the rearranged sensor ID to a sensor array of a database; And generating a weighted moving image for the mapped foot shape.

Description

Technical Field [0001] The present invention relates to a system and method for analyzing weight shift during golf swing,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system and method for analyzing a weight of a golf swing, and more particularly, to a system and method for analyzing a weight of a golf swing, To a system and method for analyzing weight movement.

In general, golf swing takes place in seven steps: address, back swing, top, down swing, impact, follow through, and finish.

The first operation, the address, is a basic state in which the player stops the golf swing operation. The player places the club foot on the ground to hit the ball. The second operation, the backswing, The third movement, the top of the golf club, is at the top, while the shaft maintains a parallel line to the ground and the target point, and the club face The fourth action, the downswing, is the interval between the club's descent from the top and the ball just before hitting the ball. The fifth action, Impact, is the moment when the club face hits the ball, and the sixth action, follow through After the impact is done, the club moves to the rear of the body by centrifugal force, Multiply the second operation is a state of complete finish your swing.

In the case of a golf swing, it is important to maintain the balance of the body during the above 7 steps. If the swing is not performed according to the natural shift of the weight, the golfer can not send the golf ball in the desired direction, and the distance is also shortened. In addition, a false swing posture involves an inadequate shift of weight movement, which can lead to a great discomfort in the back, shoulders, and ankles, resulting in injury.

Accordingly, a device capable of correcting the swing posture by accurately analyzing the golf swing is being developed continuously. In recent years, a swing analyzing device using sensors and smart devices has been mainstream, and in the process of golf swing, BACKGROUND ART [0002] A device for providing information on weight shift analysis for analyzing a change is disclosed in many prior art documents such as Korean Patent No. 10-0393352, Korean Patent No. 10-1458931, and Japanese Patent Laid-open No. 1995-231968 .

However, according to the prior art, there is a disadvantage that the sensed pressure information is simply mapped to the sensed portion and the foot shape without distinguishing the foot portion, thereby distinguishing the sensed pressure information by the difference of shade or color, and thus the intuitiveness is poor. Further, There is a problem that the golf practitioner can not grasp the accurate weight shift state during the golf swing.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a system and method for analyzing a weight of a golf swing in which a weight distribution of a golf swing is quantified.

Another object of the present invention is to grasp the distribution of the weight on both feet by dividing the left front part left, the left front part right, the left part back part, the right part rear part right, the right part front part right, the right part front part right, And to provide a system and method for analyzing a weight movement during a golf swing.

According to an aspect of the present invention, there is provided a weight movement detection apparatus for generating weight information sensed by a unit sensor having an array structure. A smart device that transmits weight information of each unit sensor received from the weight movement sensing device and a video image of a golf swing and provides golf swing analysis information to a user; A server for performing a weight movement analysis using weight information and foot mapping data of the weight movement sensing apparatus; And a database for storing the foot mapping data.

The unit sensor constituted by the array structure may have a width of 48X24 and a sensor ID.

The foot mapping data includes a foot size data FOOT_SZ, a left and right distance RNL_DT, a distance UND_DT, a right foot angle RFOOT_AN, a left foot angle LFOOT_AN, a total maximum sensor array TOTAL_SA, (LFTR_SA), left front right maximum sensor array (LFTR_SA), left rear right maximum sensor array (LFHL_SA), left rear right maximum sensor array (LFHR_SA) (RFTR_SA), a right-right rear-left maximum sensor arrangement (RFHL_SA), a right-right rear-right maximum sensor arrangement (RFHR_SA), a transverse direction full sensor (CN_SA), and a longitudinal direction full sensor (RN_SA).

The database may store sensor arrays that are subject to footing in accordance with a golf swing posture.

According to still another aspect of the present invention, there is provided a method for detecting weight, comprising: rearranging a weighted sensor ID in a weight movement sensing device; Mapping the rearranged sensor ID to a sensor array of a database; And generating a weighted moving image for the mapped foot shape.

The step of rearranging the sensor ID in which the weight is detected by the weight movement sensing device may be performed by comparing the sensor ID that senses the weight in the weight movement sensing device with the sensor arrangement with respect to the foot shape stored in the database, Can be rearranged to zero-based sensors.

The step of rearranging the sensor ID in which the weight is sensed by the weight movement sensing device includes: selecting a sensor ID that senses the weight; Selecting a minimum number in the horizontal direction and the vertical direction; And rearranging the sensor ID that senses the weight.

The step of selecting the sensor ID that senses the weight may separately select a sensor ID that is greater than 0 out of the weight values detected in each sensor ID transmitted from the weight movement sensing device.

In the step of selecting the minimum number in the horizontal direction and the maximum number in the vertical direction, the minimum number of the horizontal direction array and the minimum number of the vertical direction array can be selected among the weighted sensor IDs.

The step of rearranging the sensor ID sensing the weight is to reconstruct the sensor array to compare with the sensor array constructed in the database. In the sensor array transmitted from the weight movement sensor, the minimum number of the horizontal array and the longitudinal array Subtract the minimum number.

The step of mapping the rearranged sensor ID and the sensor array of the database compares the sensor array of the database with the rearrangement sensor ID detected by the weight movement detection device to find the most similar foot shape.

The step of mapping the rearranged sensor ID and the sensor array of the database compares the detection information of each stance measured by the weight movement detection device 10 times per second with the stance data in the database, Can be distinguished from the shape of the stance of a stance.

Wherein mapping the rearranged sensor ID to a sensor array of a database comprises: selecting a foot size; Mapping a foot shape for each sensing stance; And calculating the weight per mapping stance.

In the step of calculating the weight per mapped stance, the weight detected on the left foot is the weight of the left front weight, the weight on the left front weight, the weight on the rear left weight on the left foot, and the weight on the rear right weight on the left foot, , The right weight of the right foot, the weight of the left foot of the right foot, and the weight of the right foot of the right foot.

The step of generating the weighted moving image with respect to the mapped foot shape may be performed by detecting each part in the foot shape corresponding to the left and right leg distance RNL_DT, the leg vertical distance UND_DT, the right leg angle RFOOT_AN, and the left leg angle LFOOT_AN Can be generated by displaying the weight ratio.

The method may further include generating a golf swing analysis image that combines the weighted moving image and the swing image captured by the smart device.

As described above, according to the present invention, there is an advantage that the weight shift state can be accurately grasped by the digitized information at each point in the golf swing.

Further, according to the present invention, it is possible to accumulate golf swing analysis information by utilizing a weight movement sensing device and a smart device, thereby correcting a golf swing posture.

FIG. 1 is a block diagram of a weight movement analysis system in golf swing according to an embodiment of the present invention. Referring to FIG.
FIG. 2 shows configuration items of a foot shape mapping database according to an embodiment of the present invention.
FIG. 3 is a view for explaining a foot shape mapping database and a weight shift analysis principle according to an embodiment of the present invention.
4 is a diagram for explaining a foot shape mapping database configuration item according to an embodiment of the present invention.
FIG. 5 is a flowchart illustrating a method for analyzing a weight movement in golf swing according to another embodiment of the present invention.
6 is a view for explaining the principle of sensor ID rearrangement according to another embodiment of the present invention.
7 is a golf swing analysis image according to another embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly explain the present invention in the drawings, parts not related to the description are omitted.

Hereinafter, the weight movement analyzing system in the golf swing according to an embodiment of the present invention will be described in detail.

FIG. 1 is a block diagram of a weight movement analysis system in golf swing according to an embodiment of the present invention. FIG. 2 shows the configuration items of a foot shape mapping database according to an embodiment of the present invention. FIG. 4 is a view for explaining a foot shape mapping database and a weight shift analysis principle according to an embodiment of the present invention, and FIG. 4 is a view for explaining a foot shape mapping database configuration item according to an embodiment of the present invention.

1 to 4, a weight movement analysis system for a golf swing according to an embodiment of the present invention includes a weight movement detection device 100 for producing weight information sensed by a unit sensor having an array structure, A smart device 200 for transmitting the weight information of each unit sensor received from the photographing and weight movement sensing device to the server and providing golf swing analysis information to the user, A server 300 for performing a weight shift analysis using data (data), and a database 400 for storing a sensor array to be poked according to a golf swing posture.

The weight movement sensing apparatus 100 may arrange the unit sensors in the horizontal (i) and vertical (j) directions to sense the weight, and the unit sensors each have the sensor ID.

The foot mapping information includes a foot size information FOOT_SZ, a left and right distance RNL_DT, a distance UND_DT, a right foot angle RFOOT_AN, a left foot angle LFOOT_AN, a total maximum sensor array TOTAL_SA, (LFTR_SA), left maximal sensor array (LFTR_SA), left maximal left sensor array (LFHL_SA), right maximal left sensor array (LFHR_SA) (RFTR_SA), right right rear right sensor array (RFHL_SA), right right rear right sensor array (RFHR_SA), horizontal direction sensor (CN_SA) and vertical direction sensor (RN_SA). can do.

Here, the foot size (FOOT_SZ) is the shoe size in mm.

Here, the left-right distance RNL_DT is a left-right distance between the center of the left foot and the center of the right foot in cm units.

Here, the distance UND_DT is a distance between the center of the left foot and the center of the right foot in cm units.

Here, the right foot angle RFOOT_AN is an angle with the right ordinate of the right foot measured in the counterclockwise direction from the lateral direction of the weight movement detection device.

Here, the left foot angle (LFOOT_AN) is an angle with the left ordinate measured in the counterclockwise direction from the lateral direction of the body weight sensor.

Here, the total maximum sensor arrangement (TOTAL_SA) is an array of all sensors sensed in foot shape of foot size, left / right distance of feet, feet / feet distance of feet, right foot angle and left foot angle condition.

Here, the left-foot front left maximum sensor array (LFTL_SA) is an array of sensors corresponding to the left front part of the entire maximum sensor array.

Here, the left-foot front right maximum sensor arrangement (LFTR_SA) is an array of sensors corresponding to the right front part of the left-foot front of the entire maximum sensor arrangement.

Here, the left left rear maximum left sensor array (LFHL_SA) is an array of sensors corresponding to the left rear left portion of the maximum maximum sensor array.

Here, the left rear right maximum sensor array (LFHR_SA) is an array of sensors corresponding to the right rear part of the left maximum rear sensor array.

Here, the right front left maximum sensor array RFTL_SA is an array of sensors corresponding to the left front part of the entire maximum sensor array.

Here, the right right front maximum right sensor array RFTR_SA is an array of sensors corresponding to the right front right portion of the maximum maximum sensor array.

Here, the right rear left maximum sensor array (RFHL_SA) is an array of sensors corresponding to the left rear right portion of the total maximum sensor array.

Here, the right right rear right maximum sensor array (RFHR_SA) is an array of sensors corresponding to the right rear right portion of the total maximum sensor array.

Here, the transverse direction total sensor CN_SA is the number of transverse direction sensors of the entire sensor array.

Here, the sensor in the longitudinal direction RN_SA is the number of sensors in the longitudinal direction of the entire sensor array.

Here, only one stance is formed with respect to the foot size FOOT_SZ, the left and right leg distance RNL_DT, the leg vertical distance UND_DT, the right leg angle RFOOT_AN, and the left leg angle LFOOT_AN.

The sensor ID is a sensor array such as (0,1), (0,2) and so on.

The dimension of the sensor array can be configured as a maximum value in the horizontal direction and a maximum value in the vertical direction of the sensor array overlapping the foot shape of the stance.

In addition, the sensor array starts from the left foot and the front.

Hereinafter, a method for analyzing a weight movement in golf swing according to another embodiment of the present invention will be described in detail.

FIG. 5 is a flowchart illustrating a method of analyzing weight shift in golf swing according to another embodiment of the present invention. FIG. 6 is a view for explaining the principle of sensor ID rearrangement according to another embodiment of the present invention, FIG. 5 is a golf swing analysis image according to another embodiment of the present invention. FIG.

5 to 7, a method for analyzing weight movement during a golf swing according to another embodiment of the present invention includes rearranging a weighted sensor ID in a weight movement sensing apparatus 100 (S100) (S200) mapping the sensor ID of the database 400 to the sensor array of the database 400, and generating a weighted movement image for the mapped foot shape (S300).

In the step S100 of rearranging the sensor ID in which the weight is detected by the weight movement sensing apparatus 100, the sensor ID that senses the weight in the weight movement sensing apparatus 100 is stored in the foot shape of the stance stored in the database 400 In order to compare with the sensor array, we rearrange the weighted sensor array to the sensor starting at zero.

Here, the step S100 of rearranging the weighted sensor ID in the weight movement sensing apparatus 100 may include selecting a weighted sensor ID (S110), selecting a minimum number in the horizontal and vertical directions Step S120, and step S130 of rearranging the sensor ID that senses the weight may be performed.

At this time, the step of selecting the sensor ID sensing the weight (S110) selects a sensor ID larger than 0 out of the weight values detected in each sensor ID transmitted from the weight movement sensing device.

At this time, the selection of the minimum number in the horizontal direction and the minimum number in the vertical direction (S120) selects the minimum number of the horizontal arrangement and the minimum number of the vertical arrangement among the weighted sensor IDs, .

At this time, the step of rearranging the sensor ID sensing the weight (S130) may be performed by reconstructing a sensor array for comparison with the sensor array constructed in the database 400, It can be easily obtained by subtracting the minimum number in the horizontal direction array and the minimum number in the vertical direction array obtained in S120.

The step S200 of mapping the rearranged sensor ID to the sensor array of the database 400 compares the sensor array of the database 400 with the rearrangement sensor ID detected by the weight movement sensing apparatus 100, Look for the shape. More specifically, the weight movement detection device compares the sensed information about each stance measured ten times per second with the stance data in the database 400, and determines whether the information sensed by the weight movement sensing device 100 is a stance of a certain stance Shape is determined.

The step S200 of mapping the rearranged sensor ID and the sensor array of the database includes a step S210 of selecting a foot size, a step S220 of mapping a foot shape per sensing stance, (S230). ≪ / RTI >

At this time, the step of selecting the foot size (S210) is performed in order to apply one foot size in each sensing stance by finding the foot size of a golf swing in the current weight movement sensing apparatus (100).

Here, the foot size first finds the sensing stance having the largest number of sensors that detect the weight. At this time, if there are several sensing stances that have the largest number of sensors that detect the weight, the sensing stance having the smallest dimension (dimension) of the detected sensor arrangement can be selected. If there are multiple images, you can select one randomly.

Then, the stance of the database 400 including all of the sensor arrays of the selected sensing stans is found. In this case, the stance of the database 400 having the smallest number of remaining arrays obtained by subtracting the sensor array of the selected sensing stance from the sensor array of the stance in the database 400 is searched for and the foot size [FOOT_SZ] . If the stance of the corresponding database 400 is plural, the smallest foot size is selected.

If there is no stance in the database 400 including all of the sensor arrays of the selected sensing stans, the database 400 stance having the same number of sensors in the horizontal direction or in the vertical direction in the selected sensing stance, The stance of the database 400 having the smallest number of remaining arrays obtained by subtracting the sensor array of the selected sensing stance from the sensor array of the stance in the database 400 is searched for and the foot size [FOOT_SZ] . If the stance of the corresponding database 400 is plural, the smallest foot size is selected.

At this time, the step S220 of mapping the foot shape according to the sensing stance determines whether or not the foot shape is mapped first. If the number of sensors in the weight movement sensing apparatus 100 is not more than 4 or the number of sensors in the longitudinal direction is not more than 7, the mapping data of the immediately preceding stage can be used without being mapped to the database 400 stance data.

The detected weight is the total weight in the part that senses a lot of weight (front or back, if it is the same) at the foot that senses a lot of weight in the previous step (left foot if it is the same). If there is no database 400 stance mapped in the immediately preceding step, the mapping is not performed and the weight is not calculated.

In the case of the foot shape mapping, foot shape mapping is performed on the stance of the database 400 corresponding to the foot size (FOOT_SZ) selected in the previous step.

The stance of the database (400 stance) is the same for both the horizontal direction sensor (CN_SA) and the vertical direction sensor (RN_SA). The stance of the database 400 including all the sensor arrays of the double-sensing stance is found. Select the database (400) stance with the smallest number of remaining arrays from the sensor array of the found database (400) stance minus the sensor array of the detected stance as the foot shape mapping stance.

If there are multiple stanzas of the database (400) found, one is chosen randomly as foot-shaped mapping stance. If there is no database 400 stance including all of the sensor stances of the sensing stance, the database 400 (for example, 400 stances in the range where the number of sensors in the horizontal direction of the sensing stance is equal to the number of vertical sensors, ), The stance of the database 400 having the smallest number of remaining arrays obtained by subtracting the sensor array of the sensing stance is selected as the foot-shaped mapping stance. If the database (400) found is more than one stance, randomly select one foot-like mapping stance.

At this time, the step of calculating the weight for each mapping stance (S230) calculates the weight imposed on each part of the feet based on the foot-shaped mapping stance of the database 400 corresponding to the sensing stance.

The weight detected in the sensor array of the sensing stance that is mapped to the left-foot front left maximum sensor array (LFTL_SA) of the database 400 is added to the weight of the left front left weight.

The weight detected in the sensor array of the sensing stance mapped to the left front right maximum sensor array LFTR_SA of the database 400 is added to the weight of the left front right weight.

The weight detected in the sensor array of the sensing stance mapped to the left-rear rear left maximum sensor array (LFHL_SA) of the database 400 is added to the weight of the left rear left weight.

The weight detected in the sensor array of the sensing stance that is mapped to the left rear right maximum sensor array (LFHR_SA) of the database 400 is added to the left rear right weight.

The weight detected in the sensor arrangement of the sensing stance that is mapped to the right-left front maximum left sensor array (RFTL_SA) of the database 400 is added to the weight of the front left weight of the right foot.

The weight detected in the sensor arrangement of the sensing stance that is mapped to the right-right front-right maximum sensor arrangement (RFTR_SA) of the database 400 is added to the right weight of the front right portion of the right foot.

The weight detected in the sensor arrangement of the sensing stance mapped to the right-right rear-left maximum sensor array (RFHL_SA) of the database 400 is added to the weight of the right rear left weight.

The weight detected in the sensor array of the sensing stance mapped to the right-right rear-right maximum sensor array (RFHR_SA) of the database 400 is added to the weight of the rear right weight of the right foot.

The weight detected in the left foot is the sum of the weight of left front left weight, weight of left front right weight, weight of left left back weight, and weight of left right weight.

The weight detected on the right foot is the sum of the left weight of the right front foot, the right weight of the right foot, the left weight of the right foot, and the weight of the right weight of the right foot.

The total detected weight is the sum of the weight detected on the left foot and the weight detected on the right foot.

The weight ratio of each part is calculated by dividing the weight detected by each part by the total sensed weight.

The sensor arrangement of the sensing stance that is not mapped to the sensor array of the database 400 stance is excluded from the weight calculation.

The step S300 of generating the weighted moving image with respect to the mapped foot shape may include generating a weighted moving image with respect to the foot shape corresponding to the left and right leg distance RNL_DT, the two leg vertical distance UND_DT, the right leg angle RFOOT_AN and the left leg angle LFOOT_AN And displays the weight ratio detected in each part.

As shown in FIG. 7, the golf swing analysis image may be formed by combining the image captured by the smart device 200 and the weight movement image. The swing image of the smart device 200 and the weight movement detection information of the weight movement detection device Can be configured in synchronization.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

100: weight movement sensing device 200: smart device
300: server 400: database

Claims (16)

A weight movement sensing device for generating weight information sensed by a unit sensor configured in an array structure;
A smart device that transmits weight information of each unit sensor received from the weight movement sensing device and a video image of a golf swing and provides golf swing analysis information to a user;
A server for performing a weight movement analysis using weight information and foot mapping data of the weight movement sensing apparatus; And
And a database for storing the foot mapping data,
The foot mapping data includes a foot size data FOOT_SZ, a left and right distance RNL_DT, a distance UND_DT, a right foot angle RFOOT_AN, a left foot angle LFOOT_AN, a total maximum sensor array TOTAL_SA, (LFTR_SA), left front right maximum sensor array (LFTR_SA), left rear right maximum sensor array (LFHL_SA), left rear right maximum sensor array (LFHR_SA) And a longitudinal direction sensor (RN_SA). The golf swing apparatus according to any one of claims 1 to 3, wherein the right side rear left maximum sensor array (RFHR_SA), the right side rear left maximum sensor array (RFHL_SA) Weight shift analysis system. The method according to claim 1,
Wherein the unit sensor having the array structure has 48 x 24 horizontal and vertical units and has a sensor ID. delete The method according to claim 1,
Wherein the database stores a sensor arrangement that is engaged with the foot according to a golf swing posture. Rearranging the weighted sensor ID in the weight movement detection device;
Mapping the rearranged sensor ID to a sensor array of a database; And
And generating a weighted moving image for the mapped foot shape,
The step of rearranging the sensor ID in which the weight is detected in the weight movement sensing device is performed by comparing the sensor ID that senses the weight in the weight movement sensing device with the sensor arrangement in terms of the foot shape stored in the database, Wherein the arrangement is rearranged to a sensor starting at zero. delete 6. The method of claim 5,
The step of rearranging the weighted sensor ID in the weight movement sensing device comprises:
Selecting a sensor ID that senses weight;
Selecting a minimum number in the horizontal direction and the vertical direction; And
And rearranging the sensor ID that senses the weight of the golf swing. 8. The method of claim 7,
Wherein the step of selecting the sensor ID that senses the weight selects the sensor ID that is greater than 0 out of the weight values detected in each sensor ID transmitted from the weight movement sensing device. 8. The method of claim 7,
Wherein the selecting of the minimum number in the horizontal direction and the minimum number in the vertical direction is performed by selecting a minimum number of the horizontal arrangement and a minimum number of the vertical arrangement among the weighted sensor IDs. 8. The method of claim 7,
The step of rearranging the sensor ID sensing the weight is to reconstruct the sensor array to compare with the sensor array constructed in the database. In the sensor array transmitted from the weight movement sensor, the minimum number of the horizontal array and the longitudinal array Wherein the minimum number is subtracted from the minimum weight. 6. The method of claim 5,
Wherein the step of mapping the rearranged sensor ID and the sensor array of the database compares the sensor array of the database with the rearrangement sensor ID detected by the weight movement detection device to find the most similar foot shape. Way. 6. The method of claim 5,
The step of mapping the rearranged sensor ID and the sensor array of the database compares the detection information of each stance measured by the weight movement detection device 10 times per second with the stance data in the database, And determining which stance corresponds to a foot shape of the stance. 6. The method of claim 5,
Wherein mapping the rearranged sensor ID to a sensor array of the database comprises:
Selecting a foot size;
Mapping a foot shape for each sensing stance; And
And calculating a weight for each of the mapping stances. 14. The method of claim 13,
In the step of calculating the weight per mapped stance, the weight detected at the left foot is the sum of the left weight of the left foot front part, the right weight of the left foot front part, the left weight of the left foot part,
Wherein the weight detected on the right foot is the sum of the left weight of the right front foot, the right weight of the right foot, the left weight of the right foot, and the weight of the right weight of the right foot. 6. The method of claim 5,
The step of generating the weighted moving image with respect to the mapped foot shape may be performed by detecting each part in the foot shape corresponding to the left and right leg distance RNL_DT, the leg vertical distance UND_DT, the right leg angle RFOOT_AN, and the left leg angle LFOOT_AN And displaying the calculated weight ratio in the golf swing. 6. The method of claim 5,
Further comprising the step of generating a golf swing analysis image that combines the weight moving image and the swing image captured by the smart device.

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