PCA-Based Walking Engine Using Motion Capture Data

Authors:
Pascal Glardon;Ronan Boulic;Daniel Thalmann
Affiliations:
Swiss Federal Institute of Technology;Swiss Federal Institute of Technology;Swiss Federal Institute of Technology
Venue:
CGI '04 Proceedings of the Computer Graphics International
Year:
2004

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Abstract

This paper aims to propose a novel approach to generatenew generic human walking patterns using motion-captureddata, leading to a real-time engine intended for virtual humansanimation. The method applies the PCA (PrincipalComponent Analysis) technique on motion data acquired byan optical system to yield a reduced dimension space wherenot only interpolation, but also extrapolation are possible,controlled by quantitative speed parameter values. Moreover,with proper normalization and time warping methods,the generic presented engine can produce walking motionswith continuously varying human height and speed withreal-time reactivity.