• Korean Journal of Applied Biomechanics
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• v.19 no.1
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• pp.59-66
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• 2009

The purpose of this study was to evaluate flatness of swing plane and determine swing plane type using 3-D swing plane analysis from young elite male golf players. This study also investigate the possibility of determination of swing plane using other kinematic parameters except flatness. As results, no correlations was found between flatness and handicap. Comparison of flatness between single plane and multiple plane swing group were performed and found a significant difference. The error range of flatness, 10cm, which was used for distinguish swing plane type was effective since significant differences were found at MB, EB, and EF. These differences were typical characteristics to classify two swing styles. Other kinematic parameters such as unit vector components of shaft and displacement of shaft end point also compared per event but found no significant differences. However, the moving patterns of these parameters during a golf swing showed such characteristics of each swing plane type well that these parameters could be used to determine swing style as an indirect barometers.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.523-532
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• 2013

When the golf club hits the ground prior to making contact with the golf ball, we define it as 'fat shot'. The aim of this research was to investigate the difference between normal shot and fat shot in golf. Five candidates playing as recreational golfer participated in this research and they were all right-handed people. Time phase between each event, wrist cocking angle, elbow extension-flexion angle, backswing height, pelvis angle, thorax angle, L-GRF, R-GRF, pelvis linear velocity, pelvis angular velocity and COG path were calculated. For statistical analysis the paired T-test was used. An early un-cocking, an early right elbow extension and impact with leaving their weight behind foot were not reasons of fat shot. Backswing height, X-Factor, pelvis angle and thorax rotation angle were not different between normal shot and fat shot. But we could find a pattern of abrupt pelvic movement and weight shift to target direction just before impact in case of fat shot. In addition fat shot showed time-delayed and small value of pelvis linear velocity pattern to upward during downswing phase as against normal shot.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.39-47
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• 2023

In this paper, we propose a method to measure the similarity between golf swings in videos. As it is known that deep learning-based artificial intelligence technology is effective in the field of computer vision, attempts to utilize artificial intelligence in video-based sports data analysis are increasing. In this study, the joint coordinates of a person in a golf swing video were obtained using a deep learning-based pose estimation model, and based on this, the similarity of each swing segment was measured. For the evaluation of the proposed method, driver swing videos from the GolfDB dataset were used. As a result of measuring swing similarity by pairing swing videos of a total of 36 players, 26 players evaluated that their other swing sequence was the most similar, and the average ranking of similarity was confirmed to be about 5th. This ensured that the similarity could be measured in detail even when the motion was performed similarly.

• Venture DIGEST
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• s.109
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• pp.8-11
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• 2007

'경험을 통해 얻은 오묘한 이치'를 뜻하는 순 우리말 '미립'. 아이디어와 기술력을 바탕으로 골프업계에 신선한 바람을 일으키자는 취지에서 붙인 이름이다. 골프채와 경사면 스윙 연습기 등 골프 관련기술과 제품을 자체 연구진으로 개발하고 생산, 수출에 이르는 전 공정을 처리하는 (주)미립기술. '100% Made in Korea'에 대한 신념으로 시작하여 세계에서 유일하게 곡면퍼터를 상용화시킨 연구 개발 현장에서 주 대표를 만났다.

• Journal of the Korean Applied Science and Technology
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• v.38 no.2
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• pp.532-542
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• 2021

The purpose of this study was to investigate the body's strategy through kinematic variables of the lower extremities and ground reaction forces to maintain the club-head speed and ball accuracy despite the three stances during the golf swing. Ten male golfers who official handicap two were participate in the experiment. All subjects performed swing after maintaining the address posture according to stance conditions(square; SS, open: OS, closed: CS). Using a 3D motion analysis system and force plateform, the results were calculated with the 7-iron full swing each stance. In result, there was no difference in center of displacement, and left and right hip and knee joint angle displacement. Left ankle joint was largely plantar-flexed in OS, and right ankle joint was largely performed in CS from the address to the downswing. From address to take-back, right foot had a large left direction and the left foot had a right direction were greater in OS than in CS. Therefore, despite various stances, maintaining the same posture at impact is thought to have a positive effect on club head speed and ball direction.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.500-507
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• 2012

The purpose of this study was to investigate the effects of medicine ball throwing for weight shift training, that make improvements on golf physical fitness and performance. This training was related to physical fitness and golf performance in beginner golfer, undergraduates 20 males(10 exercise groups, 10 control groups) during 10 weeks. Variables were strength, flexibility, headspeed and distance. Training course were devided 2 sessions. In 1 to 5 weeks, using 3kg medicine ball, in 5 to 10 weeks, using 5kg medicine ball. Throwing method imitated golf swing, address, backswing, follow-through by throwing medicine ball. The Results were as follows; Medicine ball throwing for weight shift training showed significant difference in strength, flexibility, headspeed and distance in Exercise Group statistically. In conclusion, Medicine ball throwing for weight shift training improved strength, flexibility, headspeed and distance. So, it could be considered very effective training method as warming-up and main exercise.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1221-1224
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• 2004

In this study, we developed a method classifying slice shot during golf practice using backpropagation algorithm. The 144 data based on the backpropagation model(11 inputs, 2 outputs) was used as a learning set and the model was verified based on the extra 50 data in the process to predict a slice shot in golf swing. The results showed 100％ separating rate of learning set and 91.5％ separating rate of verified set. The developed method can be potentially beneficial for the predicting of slice shot in an indoor golf excercise setting without applying any additional equipment.

• Korean Journal of Applied Biomechanics
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• v.12 no.2
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• pp.259-278
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• 2002

This study divided straight success, pade success and failure with 7male golfers who have experiences more than 3 years, analyzed kinematic factors of golf swing to suggest scientifically. The conclusions were follows. 1) The wrist angle has significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 2) The body twist angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 3) The shoulder joint rotation angle has no significant difference in success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 4) The left hip joint vertical angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 5) The hip joint rotation angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 6) The trunk angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. 7 )The left knee joint angle has no significant difference in straight success, pade success and failure when swing of every pattern. There is no significant difference in pade success and failure. This study divided golf swing motion of pattern change in straight success, pade success and failure and analyzed the kinematic factors by 3-dimension cinematography to improve performance. In the future, many researchers have to study kinematic analysis to improve performance in every events.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.223-235
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• 2020

The purpose of this study is to verify the effect of golf exercise through rehabilitation training for middle-aged women and to suggest the right golf activities. To achieve the purpose of this study, the subjects were 40-50 year old middle-aged women in Jinju, Gyeongnam Province in February 2020. The subjects of this study were 8 women who were controlled by the subjects who needed to be corrected in golf swing orbit. For the accurate measurement test, the program was conducted for 10 days after explaining the purpose and utilization plan of the study. The data collected by testing level of physical strength and distance before and after the experiment were finally analyzed and used. The statistical processing of the collected data was conducted using SPSS win18.0 program, and the statistical techniques were calculated by means of frequency analysis, average(M) and standard deviation(sd), and t-test, one-way ANOVA and multiple regression analysis were conducted. The results of this study through these methods and procedures are as follows. First, rehabilitation training of general characteristics showed a high difference in golf exercise. Second, there was a high difference in the level of rehabilitation training and physical fitness in swing orbit and distance. Third, rehabilitation training and physical fitness level had a high effect on swing orbit and distance.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.453-458
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• 2002

It is not easy to analyze dynamic sports motion, but it can be done easily by using an interactive playback of the recorded motion. Everybody is able to capture a golf swing owing to the popularization of PC and digital camcorder in these days. In this study, the system that can provide golf swing analysis is selected and implemented. Furthermore, editing method that can represent motion is applied and moving object tracking algorithm that can make this profess easy is applied to provide easy golf swing analysis.