KR20120113945A - Modularization algorithm for realtime analyzing and improving golf swing using augmented reality - Google Patents

Abstract

PURPOSE: A modularization algorithm for analyzing and improving golf swings is provided to enable a user to distinguish his or her incorrect swing posture. CONSTITUTION: A modularization algorithm for analyzing and improving golf swings is as follows. A body size measuring module measures the body size of a user(S10). The user and a professional golfer are matched with each other(S20). A swing filming module films the swing image of a user(S30). An overlap module displays the swing image of the professional golfer on a screen by a figure and overlaps the swing image of the user on the figure(S40). A cross analysis module displays inconsistent swing image of the user on a screen(S50). A hitting point analysis module displays hitting point on the screen(S60). [Reference numerals] (S10) Body size measuring step; (S20) Matching step; (S30) Swing filming step; (S40) Overlap step; (S50) Cross analysis step; (S60) Hitting point analysis step

Description

Modularization algorithm for realtime analyzing and improving golf swing using augmented reality}

The present invention relates to a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality. More specifically, the body size measurement module measures and digitizes the user's body size and body shape, and the matching module 1: 1 matches the professional golfer who has the most similar physical condition to the user. By cross-analyzing the user, the reliability is maximized and the professional golfer can perform 1: 1 dedicated coaching in real time through SNS in the future. Since the physical condition of the user and the professional golfer is very similar, the swing posture and the angle difference in the cross analysis The factors other than the inconsistency caused by the error are not displayed, so it is easy for the user to recognize the posture to be corrected, and no confusion occurs, and the expensive equipment is unnecessary because the posture analysis and correction can be performed using a mobile device such as a smartphone. And easy to operate and portable, it can be used easily in any place. D. By matching the physical condition of the user and the professional golfer by matching, and the image of the professional golfer by translucent graphics to display the discrepancy of the swing when overlapping in a separate color, the user at a glance The present invention relates to a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality.

Increasingly, living standards are increasing and leisure movements are becoming more popular. Indoor golf driving ranges and screen golf driving ranges, which are emerging as a rush, reflect this trend.

The golf swing aims to blow the golf ball exactly at the desired distance and direction, moving the head of the golf club in a specific trajectory. In order to make a good golf swing, a series of postures for the golf swing, namely the backswing, the downswing, the impact and the finish, are very important.

Golf is a more important posture than any other exercise. The elements that make up posture include swing angle and trajectory, swing time and rhythm, and weight shift during swing. The key to successful golf is to repeat the components of this swing so that you can always reproduce the ideal posture that suits you.

In general, various mechanisms for golf practice are shown. However, these devices are difficult to access the general public because the shooting equipment and analysis equipment, such as a camcorder is expensive, the equipment is offline only requires a separate connection interface. Moreover, there is a limitation that it is not suitable for self-analysis by yourself. In addition, there is a problem that since the operation method is complicated, it is difficult to operate and portable so that the place that can be used is limited.

In addition, the general golf posture correcting program does not take into account the inconsistency between the user and the professional golfer's body, body condition, and gender. Therefore, when checking the swing image of the professional golfer and the user, the discrepancy caused by the swing posture and the swing angle is determined. In addition, since the discrepancy caused by the difference in height, arm length, leg length, etc. is displayed on the screen, the user has a lot of confusion when analyzing the posture.

In addition, when trying to follow the posture of a professional golfer whose body condition is different from the user's point of view of golf practice, there is a problem that the optimum swing posture is not made and reliability is lowered.

The present invention has been devised to solve the above problems, in particular, maximize the user's reliability, and professional golfers can perform 1: 1 dedicated coaching in real time through SNS in the future, the swing posture and angle during cross analysis Factors other than inconsistencies caused by differences are not displayed, and expensive equipment is unnecessary, simple to operate, and portable, making it easy to use in any place, and to identify at a glance which part of the swing posture to correct. The purpose is to provide a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality.

In order to achieve the above object, the real-time golf swing matching analysis and improvement algorithm using augmented reality according to the present invention comprises the steps of: (a) a body size measurement module measuring a user's body size; (b) matching the pro golfer by searching for a pro golfer having a body size closest to the body size of the user from a pro golfer DB; (c) the swing photographing module photographing the swing image of the user; (d) the overlap module displaying the swing image of the pro golfer as a figure on a screen and overlapping the swing image of the user on the figure; and (e) displaying, by the cross-analysis module, a portion where the translucent figure and the user's swing image are inconsistent with each other on the screen.

In addition, the swing photographing module of the step (c) may be synchronized with each other by simultaneously photographing the swing image of the user from a plurality of angles.

The overlap module of step (d) may display the swing image of the user on one side of the screen and display the overlapped image on the other side of the screen.

Further, in the step (e), the cross-analysis module displays a portion of the inconsistency portion in which the image of the user is located above the translucent figure in a first color, and the image of the user is located below the translucent figure. The portion to be positioned may be displayed in the second color.

The method may further include the step of (f) the swing photographing module still photographing the RBI of the impact moment of the user's swing, and the RBI analysis module displaying the RBI on the screen.

According to the present invention, the body size measurement module measures and digitizes the user's body size and body shape, and the matching module 1: 1 matches the pro golfer with the most similar body condition to the user, and then the swing image of the user and the swing of the pro golfer. By cross-analyzing the video, the user can maximize the reliability and the professional golfer can perform 1: 1 coaching in real time through SNS in the future.

In addition, according to the present invention, since the physical conditions of the user and the professional golfer are very similar, it is easy for the user to recognize the posture to be corrected and confusion occurs because the factors other than the discrepancy due to the swing posture and the angle difference are not displayed during the cross analysis. There is no effect.

In addition, according to the present invention, since it is possible to perform posture analysis and correction using a mobile device such as a smart phone, expensive equipment is unnecessary, operation is simple, and it is portable, so there is an effect that can be easily used in any place.

In addition, according to the present invention by matching the physical conditions of the user and the professional golfer by matching the image of the professional golfer semi-transparent graphics by displaying the inconsistent part of the swing in the overlapping color, the user can correct in his swing posture The effect can be identified at a glance.

1 is a block diagram of an apparatus for real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention,
2a to 2c is a view showing a process of measuring the body size of the real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention,
3 is a diagram illustrating a swing photographing process of a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention;
4 to 6 are views illustrating an overlap and cross analysis process of a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention;
7 is a diagram showing a RBI analysis of a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention,
8 is a flowchart of a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components throughout the drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. In addition, the preferred embodiments of the present invention will be described below, but it is needless to say that the technical idea of the present invention is not limited thereto and can be variously modified by those skilled in the art.

1 is a block diagram of an apparatus for real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention. In the present invention, the mobile device includes a personal computer (PC) having a shooting function, a tablet PC, a personal digital assistant (PDA), a notebook, a cellular phone, a personal communication service (PCS) phone, a hand-held PC, You can use any one of the Global System for Mobile (GSM) phones, Wideband CDMA (W-CDMA) phones, CDMA-2000 phones, and smartphones, and download and use applications related to golf swing matching analysis and improvement. It can be used to drive.

Golf swing matching analysis and improvement apparatus using a mobile device according to a preferred embodiment of the present invention, referring to Figure 1, body size measurement module 10, matching module 20, professional golfer DB 22, input module 24, the swing photographing module 30, the overlap module 40, the cross analysis module 50, and the spot analysis module 60 are included.

2A to 2C are diagrams illustrating a process of measuring body size in a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to an exemplary embodiment of the present invention.

Body size measurement module 10 is a step of measuring the body size of the user to be improved by correcting the swing posture of the golf. Body size data includes all data that can be quantified in relation to body shape such as a user's height, arm length, leg length, face size, shoulder size, hand and foot size, and proportions of body parts. In the case of golf, unlike other sports, the optimal swing posture and angle vary depending on the body type, so it is important to practice with the optimal swing posture and angle to fit your body type.

Body size measurement module 10 includes automatic measurement and direct input.

Automatic measurement is to measure the body size, such as height, using the length of the standard tool already known. For example, a standard golf club can be used as a standard tool. Body analysis automatically recognizes the type of user and the standard tool, and displays them in a grid, allowing further manual correction. If you measure height, etc., you can use a single smartphone, but if you measure the thickness of the body, such as taking pictures of the front and side, or a single smartphone twice can be synchronized.

Direct input includes gender for body type, age range for judging swing flexibility, and measurement tools used as standard tools. Information regarding the standard tool may be, for example, iron # 2. The standard size of iron 2 is already standardized, so just enter the measuring tool and it will be recognized automatically.

The procedure for measuring body size is as follows.

First, enter gender, age group, and standard tool directly as initial input information.

Next, shoot your body. Applications running on mobile devices automatically recognize body parts based on measurement items, and some errors can be corrected manually.

Finally, matching with the professional golfer is made by the matching module 20.

Referring to Figure 2a, by using a mobile device, such as to prepare a golf club and the user's photo shoot, the front and side at the same time or by taking a sequential picture and then synchronized by the body size and body shape including the body thickness from the front and side You can do that.

Referring to FIG. 2B, when a user and a golf club are focused using a mobile device, a pose figure (translucent or opaque) appears on the screen of the mobile device. The user adjusts the motion so that the body is located in the pose figure. At this time, it is desirable that the user wears tight clothing as much as possible in order to make the body well visible and to easily position the body in the pose figure.

Referring to FIG. 3B, when the user's body is positioned in the pose figure, a grid is displayed on the screen using augmented reality, and is proportional to the standard of a standard tool (here, iron 7) which is already input. By using the user's body size and body ratio is automatically measured and displayed on the screen. In this case, when the contour line that distinguishes each part of the body and the line of the grid do not exactly match, the photographer may precisely correct the grid by moving the grid using the touch screen.

When the body size and body shape information of the user is obtained through the above process, the matching module 20 searches the professional golfer DB 22 to match the professional golfer with the most similar physical condition, and then the information of the professional golfer on the screen (photo). , Gender, age, etc.) and matching rate (physical fitness rate, sink rate) in percentage. Subsequently, a message asking whether to designate a matched professional golfer as a mentor appears on the screen, and the user can reply with (Yes, No) using the touch screen. If the user answers No, the matching module 20 re-searches the professional golfer DB.

The matching module 20 is a part that matches the user and the professional golfer 1: 1 in order to provide an optimal swing posture and angle suitable for the user's body shape. To this end, the body size information of professional golfers having various body sizes and body types is built in the professional golfer DB 22. For example, the professional golfer DB 22 stores data such as the height of the professional golfer, arm length, leg length, face size, shoulder size, hand and foot size, torso width and thickness, and the like. Can be classified by gender and age group to build a data structure.

In order to match a user and a professional golfer 1: 1, in addition to body size information such as height, arm length, leg length, and body shape, flexibility of physical characteristics such as gender, weight, and age of the user and the professional golfer should be considered. Since such information is not easy to obtain by photographing the user with a mobile device, it is preferable to input the gender, weight, and age information of the user using the input module 24. On the other hand, gender, weight, age group information of the professional golfer is stored in advance in the professional golfer DB (22).

The matching module 20 searches the professional golfer DB 22 based on the user's body shape information and flexibility information received from the body size measurement module 10, and then selects the professional golfer most similar to the user in a 1: 1 manner. Perform a matching operation.

The matching algorithm is performed as follows.

First, when gender and age group are selected, valid data corresponding to the search condition is determined in the pro golfer DB, and then the pro golfer most similar to the user's physical condition is matched using height and body proportional data. Body proportional data includes upper body development type, lower body development type, long arm type, short arm type, short arm type, long leg type, and leg type according to the ratio of each part of the body such as arm, leg, shoulder, head, etc. It can be categorized into several types such as short short leg type.

3 is a diagram illustrating a swing photographing process of a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to an exemplary embodiment of the present invention.

The swing photographing module 30 is a part of photographing a swing image of a user. In this case, the swing image refers to an image covering the first half from the grip operation in which the user catches the golf club to the finish motion of the swing. In addition, the swing image is a concept including a video of all the swing motion required in golf, such as drive swing and putting swing.

Swing shooting is a mobile device, a fixed imaging device, an analysis device, such as a shooting function, and any application driven device according to the present invention is possible. Hereinafter, taking a picture using a mobile device will be described.

Swing photography may be performed using one mobile device. That is, the swing motion may be photographed using a single mobile device at a specific angle, photographed at a specific angle, and then changed again to change the angle. As such, the swing images photographed from various angles may be synchronized with each other to obtain more three-dimensional and accurate swing images.

On the other hand, swing shooting may be performed using a plurality of mobile devices. Each mobile device may be arranged to form a specific angle with each other, and one-dimensional images may be obtained by synchronizing each swing image obtained by photographing at the same time using a communication means such as Bluetooth or WLAN.

In addition, when the user takes a self-portrait by yourself, it is preferable to embed a voice recognition function in the mobile device so that the swing can be controlled by voice. In addition, the built-in automatic timer function in the mobile device can be controlled to start the swing shooting after a certain time after the command to shoot by voice.

The photographed image may be stored in a mobile device and transmitted to a server that provides a web server or a social network service (SNS) through a wired or wireless network.

4 to 6 are views illustrating an overlap and cross analysis process of a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention.

The overlap module 40 displays the swing image of the professional golfer on the screen as a figure and overlaps the swing image of the user on the figure. When a 1: 1 matching between a user and a professional golfer is made in the matching module 20, the overlap module 40 searches for a swing image of the dedicated professional golfer in the professional golfer DB 22 and displays the swing image on the screen.

4 (a) is a swing image of the user, and FIG. 4 (b) is a screen in which the swing image of the professional golfer (part shown by the white figure) and the swing image of the user overlap.

The swing image of the professional golfer is preferably displayed as a semi-transparent figure as shown in FIG. When the swing image of the professional golfer and the swing image of the user are mechanically overlapped, identification is not easy on the screen, and much effort is required to compare the swing posture of the user with the swing posture of the pro golfer. On the other hand, if the swing image of the professional golfer is displayed as a semi-transparent figure, if the swing posture of the user and the swing posture of the professional golfer are matched, only the semi-transparent figure will be displayed on the screen (in the case of FIG. 4), and the user's swing posture and the pro If the golfer's swing posture does not match, the user's image is displayed on the top, bottom, left, and right sides of the semi-transparent figure (in case of FIG. 5) to determine at a glance which part of the body is in a bad posture.

The overlap module 40 may display the swing image of the user on one side (eg, the left side) of the mobile device screen and display the overlapped image on the other side (eg, the right side) of the mobile device screen.

The user can check the difference between the professional golfer swing posture displayed on the other side while viewing his swing image displayed on one side, and can check in real time at what stage during the entire swing process his posture should be improved.

The cross analysis module 50 displays a portion where the translucent figure and the user's swing image are inconsistent with each other on the screen. In this case, the cross analysis module 50 displays a portion of the inconsistency in which the user's image is located above the translucent figure in a first color (eg, red), and a portion in which the user's image is located below the translucent figure. It may be displayed in a second color (for example, blue). Therefore, the user viewing the screen of the mobile device can determine at a glance whether his or her posture is higher or lower than the standard posture by using only the colors displayed on the screen.

For example, referring to FIG. 5 (b), when the angle or posture of the user is formed higher than that of the pro golfer while the swing image of the user and the swing image of the professional golfer are overlapped, it is displayed in red, and vice versa. It is.

The left view of FIG. 6 is a screen displaying inconsistencies in blue and red colors by the cross analysis module 50, and the right view of FIG. 6 overlaps a swing image of a user and a golfer's swing image by the overlap module 40. It is a screen that embodies the swing image of a professional golfer as a translucent figure of primary color instead of white color. In this way, the screen of the mobile device may be divided to provide a cross-analyzed image and an original image together.

If the physical conditions such as the professional golfer and the user's body are different, various inconsistencies will be displayed on the result screen of the cross analysis. For example, if the height of the professional golfer is greater than the user, it will be displayed in blue because the user is recognized as being below the professional golfer. The main concern of the user who wants to practice golf is to find out what is wrong with his posture compared to the standard posture of a professional golfer. I do not want.

In the present invention, since the physical conditions of the user and the professional golfer have already been matched, only the swing posture and the angle difference appear on the result screen of the cross analysis.

FIG. 7 is a diagram illustrating RBI analysis of real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to an exemplary embodiment of the present invention.

The swing photographing module 30 may be implemented to still shoot the RBI of the impact moment during the swing of the user. The swing photographing module 30 performs still shooting at an optimized close range.

In this case, the spot analysis module 60 receives the still cut of the spot from the swing photographing module 30 and displays the spot on the screen. That is, the RBI analysis module 60 analyzes the RBI of the moment of impact at the time of swing in the up, down, left and right directions and displays the screen on the screen so that the user can easily grasp the relative positional relationship between the golf club head and the golf ball in his swing. For example, when the situation of hitting the upper portion of the golf ball in the RBI analysis is repeated, the user may recognize that the golf club should be lowered further downward in the future swing.

8 is a flowchart of a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality according to a preferred embodiment of the present invention.

S10 is a step of measuring the body size of the user. The body size of the user may be calculated through a process of photographing with a mobile device or the like, and may be performed by the body size measuring module 10 of FIG. 1.

S20 is a step of matching a user with a professional golfer by searching for a professional golfer having a body size closest to the user's body size. It is desirable to consider not only the professional golfer's body size but also the professional golfer's flexibility data (gender, weight, age, etc.) for matching. For example, S20 may be performed by the matching module 20 of FIG. 1. In S20, a user can practice higher by quantifying the matching ratio between the professional golfer and the user and notifying the user.

S30 is a step of photographing the swing image of the user. The shooting of the swing image may be performed using at least one mobile device. When the swing image of the multi-angle is taken, it is preferable that each image is synchronized with each other to obtain a stereoscopic image. For example, S30 may be performed by the swing photographing module 30 of FIG. 1.

S40 is a step in which the swing image of the professional golfer is displayed as a translucent figure on the screen, and the swing image of the user is overlapped on the translucent figure. The swing image of the user may be displayed on one side of the screen, and the overlapped image may be displayed on the other side of the screen. For example, S40 may be performed by the overlap module 40 of FIG. 1.

S50 is a step of displaying on the screen a portion of the translucent figure and the user's swing image inconsistent with each other. If the posture or angle of the user is located above the professional golfer, it is preferable to display the first color, and vice versa, so that the user can easily grasp at a glance. For example, S50 may be performed by the crosstab module 50 of FIG. 1.

S60 is a step of analyzing the RBI at the moment of impact. In the case of a still shot at the moment of impact at the time of the swing of the user in S30, in R60, the relative position of the head and the golf ball of the golf club on the screen and the top, bottom, left and right can be displayed by a dotted line or the like to analyze the spot. For example, S60 may be performed by the RBI analysis module 60 of FIG. 1.

Meanwhile, in a situation where the user and the professional golfer are 1: 1 matched, the professional golfer may consistently guide the user who is matched with the user for a long time. The results of the swing video and cross-analysis taken for this purpose are transmitted to Twitter or Facebook, which provides web homepages or social network services, so that professional golfers can provide dedicated coaching in the future.

For the professional golfer, paid personal coaching can be done periodically through the web and SNS using analysis results on swing posture, swing trajectory, size, speed, and RBI. Since professional golfers are very similar to their body types, professional golfers can continue to conduct personal coaching continuously and continuously so that a user can reach a certain level of performance as long as the user does not quit golf.

Specifically, the professional golfer can provide a detailed description to improve the swing in real time using the homepage, twitter, etc., and if there are a large number of users matching with the professional golfer, they can form a community between the users and provide a place for mutual exchange. It may be.

From the user's point of view, they can receive one-on-one coaching from a professional golfer who has the most similar physical condition to them, maximizing their reliability, and interacting and exchanging information with other trainees with similar physical conditions through the community.

It will be apparent to those skilled in the art that various modifications, substitutions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. will be. Accordingly, the embodiments disclosed in the present invention and the accompanying drawings are not intended to limit the technical spirit of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by the embodiments and the accompanying drawings. . The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

10-Body size measurement module 20-Matching module
30-Swing module 40-Overlap module
50-Cross Analysis Module 60-RBI Analysis Module

Claims (5)

(a) the body size measuring module measuring the body size of the user;
(b) matching the pro golfer by searching for a pro golfer having a body size closest to the body size of the user from a pro golfer DB;
(c) the swing photographing module photographing the swing image of the user;
(d) the overlap module displaying the swing image of the pro golfer as a figure on a screen and overlapping the swing image of the user on the figure;
(e) a step of displaying, on the screen, a part of the cross-analysis module where the translucent figure and the user's swing image are inconsistent with each other;
Real-time golf swing matching analysis and improvement modularization algorithm using augmented reality comprising a. The method of claim 1,
The swing photographing module of the step (c) is a real-time golf swing matching analysis and improvement modularization algorithm using augmented reality, characterized in that by simultaneously synchronizing by mutually photographing the swing image of the user from a plurality of angles. The method of claim 1,
The overlap module of step (d) displays the swing image of the user on one side of the screen, and the real-time golf swing matching analysis using augmented reality, characterized in that for displaying the overlapped image on the other side of the screen; Improved modularization algorithm. The method of claim 1,
In the step (e), the cross analysis module displays a portion of the inconsistency portion in which the image of the user is located above the translucent figure in a first color, and the image of the user is located below the translucent figure. Real-time golf swing matching analysis and improvement modularization algorithm using augmented reality, characterized in that the portion is displayed in the second color. The method of claim 1,
(f) real-time golf swing using augmented reality, characterized in that the swing photographing module further comprises the step of still shooting the RBI of the impact moment when the user swings, and the RBI analysis module to display the RBI on the screen Matching analysis and refinement modularization algorithm.

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