• 대한안전경영과학회지
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• 제15권2호
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• pp.55-61
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• 2013

For years, many studies have mainly been investigated in a complicated human motion analysis. Recently, many motion analysis equipments have been studied and developed. Therefore, the more complex human movement analyses are possible, we have enabled us to perform more and more complicated human movement analyses. A Three-dimensional(3D) motion analysis on of the several methods is a useful tool for analyzing the human motion analysis. The purpose of this study was to develop the 3D human motion analysis using a kalman filter algorithm and a gyro sensor. The algorithm and sensor were used to human motion analysis with high-speed motion capture. In this study, the developed system will be adapted to facilitate golf swing analysis. Using the developed system, golfers and coaches who do not have advanced biomechanical knowledge can easily be used to their golf swing analysis. Future study is necessary for more practical and efficient area such as other sports industries, 3D game industries, rehabilitation training, etc..

• 한국컴퓨터정보학회논문지
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• 제28권1호
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• pp.39-47
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• 2023

본 논문에서는 골프 동영상 속 스윙 자세 사이의 유사도를 측정할 수 있는 방법을 제안한다. 딥러닝 기반 인공지능 기술이 컴퓨터 비전 분야에 효과적인 것이 알려지면서 동영상을 기반으로 한 스포츠 데이터 분석에 인공지능을 활용하기 위한 시도가 증가하고 있다. 본 연구에서는 딥러닝 기반의 자세 추정 모델을 사용하여 골프 스윙 동영상 속 사람의 관절 좌표를 획득하였고, 이를 바탕으로 각 스윙 구간별 유사도를 측정하였다. 제안한 방법의 평가를 위해 GolfDB 데이터셋의 Driver 스윙 동영상을 활용하였다. 총 36명의 선수에 대해 스윙 동영상들을 두 개씩 짝지어 스윙 유사도를 측정한 결과, 본인의 또 다른 스윙이 가장 유사하다고 평가한 경우가 26명이었으며, 이때의 유사도 평균 순위는 약 5위로 확인되었다. 이로부터 비슷한 동작을 수행하고 있는 경우에도 면밀히 유사도를 측정하는 것이 가능함을 확인할 수 있었다.

• 한국운동역학회지
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• 제14권3호
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• pp.177-189
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• 2004

Kinematic and kinetic analysis using 3D Motion Capture system are common, yet there is little in the literature that discuss the relationship and coactivity between muscles during the golf swing. The purpose of this study was to describe the relationship between the employed 16 muscles during golf swing. We could observe 3 muscle patterns such as 'Line' shape, 'L' shape, and 'Loop' shape for the golf swing activity. The 'Line' shape indicates that two muscles act almost perfectly in phase, and the 'L' shape represents that two muscles act in a reciprocating manner(When one is active, the other is quiescent and vice versa). And the 'Loop' shape indicates that two muscles act sequently(After one is active, the other act). In these results, we knew the muscle patterns during golf swing is similar to the patterns during gait. And we presented it was possible to show the consistence of golf swing through the frequency analysis of muscle patterns. We believe that the results potentially useful for the golf players and coaches to analyze their performance.

• The Journal of Korean Physical Therapy
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• 제21권1호
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• pp.89-96
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• 2009

Purpose: The purpose of this study was to determine the effect of modified golf swing training on gait characteristic in hemiplegic patient through Kwon 3D motion analysis system. Methods: This study has performed single subject design from September to October 2008. The subject had left hemiplegia due to CVA in December 2003. He has treated Bobath approach twice a week. In order to increase ankle dorsiflexion and knee flexion, the subject has applied modified golf swing training on the basis of Bobath approach. The measurement of gait characteristic was taken by Kwon 3D motion analysis system. Results: The results were as follows : 1) Walking velocity was increased 0.62m/sec than before the training. 2) Step length was increased 0.09m than before the training. 3) Left ankle and hip angle were increased, but left knee angle was decreased. Conclusion: It could be concluded that the activity modified golf swing training in walking pattern contributed to improve the movement quality and speed of gait.

• 국제물리치료학회지
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• 제10권1호
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• pp.1706-1710
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• 2019

Background: Despite frequent shoulder injuries of rotator cuff muscle of golfers by the result of overuse and poor swing mechanics, there is little research on shoulder specific rehabilitation exercises for injured rotator cuff muscle and golf swing Objective: To examined the effect of rehabilitation exercise for golfers on the X factor and ground reaction force (GRF) according to phase of the golf swing. Design: Crossover study Methods: The participants were 13 amateur golfers selected for a 4 week rehabilitation exercise for golfers. A rehabilitation exercise for golfers consisting of 5 steps and 4 items (sleeper stretch, full side plank, push up to plank, high plank knee unders) were applied to all participants. A three dimensional motion analyzer and force platform (SMART-E, BTS, Italy) were used to measure the X factor (angle between shoulder and pelvis at top of back swing) and GRF according to phase of the golf swing. All dependent variables were measured before and after exercise. The collected data was analyzed using the paired t test and SPSS 21.0. Results: The GRF had a statistically significant increase in the impact phase and ratio impact/weight after rehabilitation exercise for golfers (p<.05). The X-factor, GRF in top of back swing and finish were no significant differences between before and after exercise (p>.05). Conclusions: These results suggested that rehabilitation exercise for golfers was effective for increasing GRF in the impact phase and ratio impact/weight for amateur golfer.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 추계학술대회 논문집
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• pp.451-452
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• 2006

• 한국운동역학회지
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• 제17권4호
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• pp.115-125
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• 2007

Grould Reaction force(GRF) is important in human movements and GRF measurements are one of the most frequently used tool in biomechanical studies. In the studies of the golf swing motion, people refer to GRF as weight transfer. A successful golf swing motion requires many segments activation sequences which are controled by the nerve system. Due to the inter- and intra-individual variability of the human movement and the movement strategies, reliability of the measurements are important in human movement studies. Previous golf researches were based on group studies and certain events' values were analyzed. The purposes of this study were to determine the number of trials for the reliable golf swing GRF data collection, to reveal the variability level of the meaningful components of the golf swing GRF, and to classify the types of the golf swing GRF patterns. Twenty three male professional golfers($26.4{\pm}6.6$ years, $174.3{\pm}5.2\;cm$, $71.3{\pm}6.5\;kg$) signed an informed consent form prior to participation in this study. GRFs of driver swings were collected with Kistler 9285 force platform and 9865A amplifier, and calculated by the KwonGRF program(Visol, Korea). Sampling frequency was 1080 Hz. GRF data were trimmed from 1.5 s prior to the impact to 0.5 s after the impact. The number of trials for the reliable GRF collection was determined when the change in floating mean overs the 25 % of the standard deviation of that variable. Variabilities of the variables were determined by the coefficient of variation(CV) of 10 %. The types of GRF patterns were determined by visual inspection of the peak GRF shapes. The minimum number of trials for the reliable golf swing GRF data collection was five. Ten-trial seems more conservative. The value of the peak GRF was more reliable than the value of the impact GRF. The CV of the peak GRF and impact GRF were 7.4 %, 15.2 %, respectively. Because of the +/- sigh of the peak GRF appearance time, it was impossible to calculate CV of the peak GRF appearance time. Golf swing GRF patterns were classified as sing peak type, double peak type, and plateau peak type. This classification suggests the presence of the different golf swing weight transfer strategies.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.903-906
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• 2005

The purpose of this study was to analyze the muscular force of swing using the soft golf club in comparison with the muscular force of swing using normal golf club. The subject was normal adult (twenties) and performed swing motion using normal and soft golf club. And then we compared muscular power soft golf club with normal golf club of the subject. The muscular power of the subject was measured by MP 100(BIOPAC Systems, Inc.). For the analysis of muscular power of swing using soft golf club, we measured EMG(Electromyography) of the subject. The position of muscle was deltoid, latissimus dorsi, external oblique and rectus abdominis of the upper limbs and rectus femoris, biceps femoris, gastrocnemius and soleus of the lower limbs. The result of experiment, muscle pattern of swing using soft golf club was similar to pattern of swing using normal golf club and muscular power of subjects using the soft golf was smaller than normal golf.

• 한국운동역학회지
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• 제19권1호
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• pp.167-177
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• 2009

본 연구의 목적은 골프화 개발에 있어 골프화 종류에 따른 기능성 검증을 위해 골프 스윙 시 골프화 종류별 3차원 동작분석을 통하여 골프화가 골프 스윙에 미치는 영향을 알아보고자 한다. 연구대상은 골프 프로 자격증을 소지한 경력 10년 이상인 프로골퍼 5명으로 착용 골프화 사이즈가 270mm이었다. 스윙 동작 분석을 위해 Motion Analysis사(Santa Rosa CL USA)의 3차원 동작분석 시스템 및 EVaRT 4.2 소프트웨어를 사용하여 변인 값들을 분석하였다. 드라이버 스윙동작 중 어드레스(El), 탑(E2), 임팩트(E3), 피니쉬(E4)시의 각 이벤트 간의 구간(P1, P2, P3) 변인 값을 분석하여 스윙 구간별 시간, 최대속도, 신체이동 속도, 양발 분절의 속도, 발목의 뒤틀림 각도에 대한 조사를 실시하여 골프화의 종류와 수행능력의 연관성에 대하여 알아보았다. 실험결과 골프화 Type C의 경우 어드레스에서 탑까지의 시간이 가장 짧게 나타나 어드레스 시 안정성을 향상시켜 줄 것으로 사료된다. 또한 좌우 골프화의 최대 속도 신체중심 이동 최대 속도 좌우 발의 최대 속도의 경우도 골프화 Type C의 속도가 가장 빠르게 나타났으며 신체의 중심을 빠르게 하고 발의 회전력을 증가시켜 임팩트 시 다른 골프화보다 큰 힘을 전달할 수 있을 것으로 사료된다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.1761-1766
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• 2008

This paper deals with a novel autocalibration method of three-axis micromachined accelerometers applied to a new golf swing diagnosis equipment for golfers. This diagnosis equipment can help golfers monitor and anlalyze their swing posture and therefore modify their swing action to get better score and enjoy their lives through golf. The micromachined accelerometers to get information of the motion are the essential part of the putting club to measure the three-axis acceleration as accurately as possible. This paper presents an efficient autocalibration algorithm to find the offset and sensitivity of accelerometers by only using the static measurement data at six different positions. The experimetnal results on the developed putters show the validity of the proposed algorithm for the new smart putter.