Data-driven on-line generation of interactive gait motion

Authors:
Liang Zhang;Stephan Rusdorf;Guido Brunnett
Affiliations:
Faculty of Computer Science, GDV, Chemnitz University of Technology, Germany;Faculty of Computer Science, GDV, Chemnitz University of Technology, Germany;Faculty of Computer Science, GDV, Chemnitz University of Technology, Germany
Venue:
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Year:
2010

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Abstract

In this paper, we present a novel constraint-based method that is able to adapt captured gait motions to new paths while preserving the original gait style. Foot-plant constraints are ensured automatically and no post-processing for foot-skate removal is necessary. The main contribution of the paper is an analytical algorithm that is able to move the avatar without violating foot-plant constraints. The algorithm works with few dependencies, which allows other motion controllers to be easily integrated to fulfill other tasks.