Summary: | 碩士 === 淡江大學 === 電機工程學系碩士在職專班 === 102 === Use Microsoft''s Kinect in this paper, we release a set of detection and identification of Kinect with tennis racquet and swing movement of the evaluation study. Users may be exempted from the general motion capture technology requires a lot of sensors will be wearing on body. via OpenNI retrieved skeleton coordinates, establishment of a three-dimensional Cartesian coordinate system, use the joints of the body and parts of the body torso to make projections, considered the swing motion identification eigenvalues.
For tennis swing movement of the track, thus eigenvalues by the Dynamic Time Warping, it can calculate the optimal sequence of time, in order to trace the path similarity comparisons do distinguish between the various swing action, and through angles judgment to evaluate the swing-style action. The system will focus on the swing-heights for their actions, the body center of gravity height and weight transfer speed is evaluated to achieve recognition tennis swing as well as assessment functions of swing action.
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