Analysis of Human Motion, Based on the Reduction of Multidimensional Captured Data --- Application to Hand Gesture Compression, Segmentation and Synthesis

Authors:
Sylvie Gibet;Pierre-François Marteau
Affiliations:
IRISA/Bunraku, Rennes Cedex, F-35042;VALORIA, University of Bretagne Sud, Vannes Cedex, F-56017
Venue:
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Year:
2008

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Abstract

This paper describes a method to analyze human motion, based on the reduction of multidimensional captured motion data. A Dynamic Programming Piecewise Linear Approximation model is used to automatically extract in an optimal way key-postures distributed along the motion data. This non uniform sub-sampling can be exploited for motion compression, segmentation, or re-synthesis. It has been applied on arm end-point motion for 3D or 6D trajectories. The analysis method is then evaluated, using an approximation of the curvature and the tangential velocity, which turns out to be robust to noise and can be calculated on multidimensional data.