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스포츠 상해예방을 위한 테니스 포핸드스트록의 임팩트 타이밍 분석
김계욱(Kim Kye-Wook),이경일(Lee Kyung-Il),유경석(Yoo Kyoung-Sug) 한국체육과학회 2003 한국체육과학회지 Vol.12 No.1
The purpose of this study was to contribute to preventing the sports injury for analysis of the impact phase of the force absorption and the impact timing during tennis forehand strokes. To accomplish the purpose of this study. subjects were 4 males college elite players in K university in Seoul. The experimental equipments employed for this study were the video camera analysis system(60㎐) for analyzing to impact pattern of the swing trajectory and the percussion analysis system(10,000㎐) for analyzing to the impact time and absorption of impact vibration. The conclusions through these results are as follows. 1. Video Image Analysis The displacements of impact phase was increased in proportion to the horizontal and vertical component. But horizontal displacements showed the peak point in the middle of Impact Phase. Otherwise. vertical displacements showed the peak point in the end of Impact Phase. At impact phase. both acceleration and force showed larger the absorption of force that is the action by muscle concentric contraction than the generation of force that is the reaction by muscle eccentric contraction. According to these results, the potential of factors of sports injury are revealed.
인체동작분석시 Wavelet변환을 이용한 영상자료의 보간 및 분석
김기형,김민기,유경석,김희영 한국운동역학회 1997 한국운동역학회지 Vol.7 No.1
Inputting data of human motion analysis means signal processing of changes in linear time dependent spatial coordinates of anatomical landmarks. Commercial CCD camera appears to be sampling 30 fps imposing limitation for human motion analysis which needs at least 60 fps. For the interpolation 60 fps fast algorithm of inverse wavelet transformation (IWT) was utilized producing 60 fps out of normal 30 fps. The original data from free fall and cycling motion of lower extremity were used to test the applicabiility of wavelet interpolation to human motion analysis. The test results showed linear relationship between two data sets. In the test of free fall, data curves of two sets, theoretical 30 frame data and 60 frame data after inverse wavelet transformation, appeared to be almost identical. Regression analysis of free fall test showed R^2 = 0.99 meaning Y = IWT. In the test with cycling motion of lower extremity % cycle of maximum flexion and extension at the joints was compared between two data sets showing same result, as in free fall test.