Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces
ACM SIGGRAPH 2004 Papers
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The problem of character locomotion synthesis is notorious for its high dimensionality and the nonlinear relationship between dimensions. However, many human motion activities lie intrinsically on low dimensional manifolds [Safonova et al. 2004] leading to significant data redundancy. Linear and non--linear methods for dimension reduction have been applied to the problem, but none of the existing approaches for dimensional reduction provide a physically--justified explanation for selected dimensions, instead they use general methods which employ numerical error analysis.