• Title/Summary/Keyword: golf swing motion

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The 3D Character Modeling for Golf Swing Motion Analysis by Economical Verification of Body Information (인체정보 DB의 경제적인 조합을 통한 골프 스윙 동작 분석용 3D 캐릭터 모델링)

  • 곽현민;채균식;박찬종;이상태
    • Science of Emotion and Sensibility
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    • v.6 no.2
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    • pp.59-64
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    • 2003
  • The national standard anthropometry of Korea is conducted every 5∼6 year term after its first research was started in 1979, The fourth research was conducted in 1997. The result of the national standard anthropometry has been reflected in manufactured goods design of allied industries such as clothing, shoes and furniture. In this paper, we measured anthropometry data for every bodily figurative classification after dividing users according to gender, age and bodily figure using the result of the national standard anthropometry. We constructed 3D character through the process of analyzing interrelation of measured anthropomeoy and measuring representative category. In the process for organization , we measured anthropometry which can effectively express sports action of golf, tennis etc. We made it by presenting measurement which is able to form each type of 3D character after the category was decided. Quantitative and objective valuation for posture and action became possible by developing visible information offer and posture action analysis protocol in theoretical approach for analysis of posture and action in sports.

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An efficient Bi-LSTM based method for outlier detection and correction in golf swing motion estimation (골프 스윙 모션 추정에서 Bi-LSTM 기반의 효율적인 이상치 검출 및 보정 기법)

  • Ju, Chan-Yang;Park, Ji-Sung;Oh, Gyeong-Su;Choi, Hyun-Jun;Lee, Dong-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.787-790
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    • 2021
  • 본 논문에서는 최신 모션 인식 기술을 활용하여 골프 스윙 비디오에서 사람의 자세를 추정한 후 다양한 원인으로 오검출된 좌표들을 보정하여 자세 추정의 정확도를 높이는 방법을 제안한다. 기존의 사람 자세 추정 모델은 골프 스윙 데이터에서 오검출, 반전, 불안정성, 미검출의 문제를 보여 정확한 자세 추정을 어렵게 했다. 이를 해결하기 위하여 본 연구에서는 자세 추정시 발생하는 이상치 데이터들을 Bi-LSTM 으로 학습하고 골프 스윙의 특징을 고려한 간단한 규칙을 통하여 이상치 데이터를 효과적으로 검출하고 이를 보정하는 방법을 제안한다. 또한 다양한 실험과 분석을 통하여 제안하는 방법이 골프 스윙 모션에서 사람의 자세를 정확히 추정할 수 있음을 보인다.

Deep Learning-Based Outlier Detection and Correction for 3D Pose Estimation (3차원 자세 추정을 위한 딥러닝 기반 이상치 검출 및 보정 기법)

  • Ju, Chan-Yang;Park, Ji-Sung;Lee, Dong-Ho
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.10
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    • pp.419-426
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    • 2022
  • In this paper, we propose a method to improve the accuracy of 3D human pose estimation model in various move motions. Existing human pose estimation models have some problems of jitter, inversion, swap, miss that cause miss coordinates when estimating human poses. These problems cause low accuracy of pose estimation models to detect exact coordinates of human poses. We propose a method that consists of detection and correction methods to handle with these problems. Deep learning-based outlier detection method detects outlier of human pose coordinates in move motion effectively and rule-based correction method corrects the outlier according to a simple rule. We have shown that the proposed method is effective in various motions with the experiments using 2D golf swing motion data and have shown the possibility of expansion from 2D to 3D coordinates.

Kinematic Analysis of Women's 100-m Final during IAAF World Championships, Daegu 2011 (2011 대구세계육상선수권대회 100 m 여자 결승전의 운동학적 분석)

  • Ryu, Ji-Seon;Ryu, Jae-Kyun;Kim, Tae-Sam;Park, Young-Jin;Hwang, Won-Seob;Yoon, Suk-Hoon;Park, Sang-Kyoon
    • Korean Journal of Applied Biomechanics
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    • v.21 no.5
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    • pp.521-528
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    • 2011
  • The purpose of this study was to analyze the kinematic characteristics of the finalists in the women's 100 m event to provide important information to coaches and athletes. Three different biomechanics techniques were applied for analyzing sprinter motion: LAVEG, a panning technique, and 12 video cameras for 3 dimensional analysis of the 40 m - 70 m portion of the race. Carmelita Jeter(USA) performed the maximum speed of 10.54 m/s at the distance of 58.2 m. There was a tendency to show a better performance time with a high number of steps (p=.13) and shorter stride length (p=.14) among the 8 sprints. Furthermore, the stride frequency and the performance time were negatively correlated as a higher stride frequency had a positive impact on the performance time (p=.02). Based on 3 dimensional analysis, the 4 top ranked sprinters used the different strategies to maintain a high COM (Center of Mass) velocity during the mid portion of the race (40 m - 70 m). Carmelita Jeter(USA) showed more flexed knee and hip motion at heel contact (HC) to maintain a high COM velocity while S.A. Fraser-Pryce (JAM) showed more extended knee and hip motion at HC. On the other hands, Veronica Campbell-Brown (JAM) and Kelly-Ann Baptiste (TRI) showed a tendency to have high knee lifts during the swing phase to maintain the high COM velocity during the race. These biomechanical analyses of the women's 100 m final event in the 2011 WC, Daegu, will provide important scientific information to coaches and athletes for understanding the sprinting mechanism of today's top-class sprinters.