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In this paper, we discuss sport technique evaluation using motion analysis model by neural networks and data mining methods. For students of university, we recorded the continuous forehand stroke of the table tennis in the video frames, and analyzed the trajectory pattern of nine marking points attached at subject's body with a coach's technique evaluation and the motion analysis model. As a result,...
We propose a new method of recognizing emotional factors from human gestures by analyzing motion capture (MoCap) data. It features multi-factorization processing combined with HMM recognition. The multi-factorization processing factorizes MoCap data into a third-order tensor that consists of spatial, statistical, and frequency-spatial components. This multi-factorization localizes the data in the...
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