Articulated Motion Analysis from Motion Capture Data
نویسندگان
چکیده
We present computational methods to extract and model different joints of a generic subject, in an automatic way. The input for our methods is simply a set of trajectories of 3D points, obtained from a motion capture system (MOCAP). Due to the piecewise rigidity of the skeleton, these trajectories belong to different subspaces (of the space of all possible trajectories). We use this knowledge to derive computationally simple algorithms that are able to infer joint properties from the trajectories of the 3D points. This model-free approach enables analyzing directly specific subjects, rather than requiring user-defined a priori models of the skeleton. Such data-driven models are useful in the analysis of human walk and the evaluation of joint stress for pathology detection. Also, the customized skeleton models, together with physiological muscular information, allow to accurately analyze high level performances in sports.
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