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

Sylvie Gibet (1) , Pierre-François Marteau (1)

1 VALORIA - Laboratoire de Recherche en Informatique et ses Applications de Vannes et Lorient

This paper describes a method to analyze human motion, based on the reduction of multidimensional captured motion data. A Dynamic Program- ming Piecewise Linear Approximation model is used to automatically extract in an optimal way key-postures distributed along the motion data. This non uni- form 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.

Mots clés: motion analysis; segmentation; data reduction

Domaines: Modélisation et simulation

Sylvie Gibet, Pierre-François Marteau. Analysis of Human Motion, Based on the Reduction of Multidimensional Captured Data - Application to Hand Gesture Compression, Segmentation and Synthesis. (AMDO 2008), Jul 2008, Port d'Andratx, Spain. pp.72-81, ⟨10.1007/978-3-540-70517-8_8⟩. ⟨hal-00502849⟩