• 제목/요약/키워드: Golf swing motion analysis

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Implementation of Golf Swing Analysis System Based on Swing Trajectories Analysis

  • Kim, Ho-Han;Kim, Sung-Young
    • 한국정보기술학회 영문논문지
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    • 제9권2호
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    • pp.65-74
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    • 2019
  • In this paper, we describe a new swing analysis system. We design this system to provide various information about golf swings and to help to correct wrong swings. We visualize three-dimensional skeletal information obtained from Kinect through various views. Golfers can see their swing behavior through these views. This system can calculate the similarity between the two trajectories obtained from Kinect to determine the similarity of swing trajectories of different golfers. Input trajectories are resampled to have equal spacing and are performed scaling and translation for accurate trajectory comparison. We have verified the usefulness of the proposed system through various analyzes.

Kinematic and Kinetic Analysis of the Soft Golf Swing using Realistic 3D Modeling Based on 3D Motion Tracking

  • Kim, Yong-Yook;Kim, Sung-Hyun;Kim, Nam-Gyun
    • 대한의용생체공학회:의공학회지
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    • 제28권6호
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    • pp.744-749
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    • 2007
  • Kinematic and kinetic analysis has been performed for Soft Golf swings utilizing realistic three dimensional computer simulations based on three dimensional motion tracking data. Soft Golf is a newly developed recreational sport in South Korea aimed to become a safe and easy-to-learn sport for all ages. The advantage of Soft Golf stems from lighter weight of the club and much larger area of the sweet spot. This paper tries to look into kinematic and kinetic aspects of soft golf swings compared to regular golf swing and find the advantages of lighter Soft Golf clubs. For this purpose, swing motions of older aged participants were captured and kinematic analysis was performed for various kinematic parameters such as club head velocity, joint angular velocity, and joint range of motions as a pilot study. Kinetic analysis was performed by applying kinematic data to computer simulation models constructed from anthropometric database and the measurements from the participants. The simulations were solved using multi-body dynamics solver. Firstly, the kinematic parameters such as joint angles were obtained by solving inverse dynamics problem based on motion tracking data. Secondly, the kinetic parameters such as joint torques were obtained by solving control dynamics problem of making joint torque to follow pre-defined joint angle data. The results showed that mechanical loadings to major joints were reduced with lighter Soft Golf club.

골프 드라이버 스윙 시 스윙 플레인에 따른 클럽 헤드 및 골프볼의 운동학적 변인과 신체 정렬 변인의 비교 분석 (Comparison of Kinematic Variables of the Club Head, Golf Ball and Body Alignment according to Swing Plane during Golf Driver Swing)

  • Young-Tae, Lim;Moon-Seok, Kwon;Jae-Woo, Lee
    • 한국운동역학회지
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    • 제32권4호
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    • pp.147-152
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    • 2022
  • Objective: The purpose of this study was to analyze the effects of club head and golf ball kinematics and body alignment according to the swing plane during golf driver swing. Method: Sixteen college golfers participated in this study. Kinematic data of the club head and golf ball were collected using golf swing analysis system (Trackman Ver. 3e). The body alignment variables were collected using 8 motion capture system. An Independent samples t-test was used for comparison between the Out-to-In group and In-to-Out group, and the statistical significance level was set at .05. Results: For the club head related variables, club path and club face angle showed higher values in Out-to-In swing plane than In-to-Out swing plane. For the kinematic variables of the golf ball, the total distance showed a higher value in the In-to-Out swing plane than that of the Out-to-In swing plane. For the body alignment, the In-to-Out swing plane showed higher values than the Out-to-In swing plane for the pelvis rotation angle and trunk rotation angle. Conclusion: This study suggest that it would be more effective to use the In-to-Out swing plane for increasing the total distance during the golf driver swing.

대학 골프 선수의 Pitching wedge 스윙동작의 운동학적 특성 분석 (Kinematical Analysis of Pitching wedge swing motion in University Golfer)

  • 백진호;윤동섭;김재필
    • 한국운동역학회지
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    • 제13권3호
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    • pp.133-149
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    • 2003
  • The purposes of present study were to determine the major check-points of golf swing from the review of previous studies, and to suggest additional information on the teaching theory of golf. The golf swing motion of 6 male and female elite university golf players were filmed with 16mm Locam II high speed cameras at the speed of 200f/s, and variables such as time, displacement, angle, velocity were calculated and analyzed by 3D Cinematography using DLT method. The results were: 1. Differences were shown in the ratio of weight distribution on the feet, cocking angle, take-back velocity, club-head velocity at impact depending upon the physical characteristics and club used for swing. 2. Time for the down-swing and impact were $0.27{\sim}0.29s$ in men and $0.29{\sim}0.32s$ in women, which was 1/3 of the time for the back-swing. Women showed longer total swing time than men because of longer time in back-swing, follow-through and finish. 3. Men showed larger range of motion in shoulder and knee joints than women, on the other hand women showed larger range of motion in hip joint than men. 4. Cocking motion and right elbow flexion were occurred at the top of back-swing and cocking release was occurred at the moment of impact. Maximum rotations of shoulder and hip joints were found between the top of back-swing and down-swing phase. 5. Women showed lower back-swing velocity than men, and men showed higher club velocity(men: $38.2{\sim}38.6m/s$, women: $35.1{\sim}36.4m/s$) than women.

골프스윙시 근육협응관계 구명을 위한 EMG 분석 (EMG Analysis for Investigation Muscle-Collaborated Relationship during Golf Swing)

  • 심태용;신성휴;오승일;문정환
    • 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.

스마트 센서를 활용한 골프 스윙 정확도 분석시스템 구현 (Implementation of Golf Swing Accuracy Analysis System using Smart Sensor)

  • 주재한
    • 한국항행학회논문지
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    • 제21권2호
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    • pp.200-205
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    • 2017
  • 현대의 스포츠는 과학이 접목된 스포츠 과학으로 발전하고 있으며 기록 향상을 위한 각종 분석 시뮬레이션 시스템들도 많이 개발되고 있고, 실제 경기 기록 향상에 상당한 도움을 주고 있다. 이에 다양한 스포츠 종목중 하나인 골프는 동호인과 일반인들에게 대중화 되면서 본인의 운동자세를 교정하고자 하는 요구가 증가하고 있다. 이러한 요구에 따라 골프스윙 자세를 분석하고 교정 받을 수 있는 시스템들이 많이 개발되고 있다. 골프스윙 정확도 분석시스템은 육안으로 볼 수 없는 순간의 동작들을 분석하여 이해하기 쉽도록 지도하는 것으로 시각적 효과로 인한 즉각적인 피드백을 통해 골프스윙동작을 개선할 수 있으며, 피드백을 주기 위한 정보는 프로 골퍼와 골프스윙 동영상 등에서 수집한 골프스윙 동작에 대한 지식을 활용하여 신뢰도를 향상시켰다. 또한 자신의 골프스윙 동영상을 육안으로 확인하고 분석할 수 있는 기능을 제공함으로써 다양한 골프 스윙 분류 방법을 기반으로 각 구간에 대한 분석이 가능하다.

Biomechanical Analysis of Golf Driver Swing Motion According to Gender

  • Bae, Kang Ho;Lee, Joong Sook;Han, Ki Hoon;Shin, Jin Hyung
    • 한국운동역학회지
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    • 제28권1호
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    • pp.1-8
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    • 2018
  • Objective: The purpose of this study is to investigate the differences in biomechanical variables of golf driving motion according to gender. Method: A total of 21 healthy golfers (11 men and 10 women) who have more than 5 years of professional experience and have been registered in the Korea Golf Association was recruited. A 250-Hz 8-camera motion capture system (MX-T20, Vicon, LA, USA) was used to capture the motion trajectories of a total of 42 reflective markers attached to the golfer's body and club. Moreover, two 1,000-Hz AMTI force plates (AMTI OR6-7-400, AMTI, MA, USA) were used to measure the ground reaction force. The mean and standard deviation for each parameter were then calculated for both groups of 21 subjects. SPSS Windows version 23.0 was used for statistical analysis. The independent t-test was used to determine the differences between groups. An alpha level of .05 was utilized in all tests. Results: There were differences in joint angles according to gender during golf driver swing. Men showed a statistically significantly higher peak joint angle and maximum range of angle in sagittal and frontal axis of the pelvis, hip, and knee. Moreover, women's swing of the pelvis and hips was found to have a pattern using the peak joint angle and range of angle in the vertical axis of the pelvis and hip. There were the differences in peak joint moment according to gender during golf driver swing. Men used higher joint moment in the downswing phase than women in the extensor, abductor, and external rotator muscles of the right hip; flexor and adductor muscles of left hip joint; and flexor and extensor muscles of the right knee. Conclusion: This result reveals that male golfers conducted driver swing using stronger force of the lower body and ground reaction force based on strength of hip and thigh than female golfers.

The Methodology of the Golf Swing Similarity Measurement Using Deep Learning-Based 2D Pose Estimation

  • Jonghyuk, Park
    • 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.