A hybrid approach for simulating human motion in constrained environments

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

17 Scopus Citations
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Author(s)

  • Jia Pan
  • Liangjun Zhang
  • Ming C. Lin
  • Dinesh Manocha

Detail(s)

Original languageEnglish
Pages (from-to)137-149
Journal / PublicationComputer Animation and Virtual Worlds
Volume21
Issue number3-4
Publication statusPublished - May 2010
Externally publishedYes

Abstract

We present a new algorithm to generate plausible motions for high-DOF human-like articulated figures in constrained environments with multiple obstacles. Our approach is general and makes no assumptions about the articulated model or the environment. The algorithm combines hierarchical model decomposition with sample-based planning to efficiently compute a collision-free path in tight spaces. Furthermore, we use path perturbation and replanning techniques to satisfy the kinematic and dynamic constraints on the motion. In order to generate realistic human-like motion, we present a new motion blending algorithm that refines the path computed by the planner with motion capture data to compute a smooth and plausible trajectory. We demonstrate the results of generating motion corresponding to placing or lifting object, walking, and bending for a 38-DOF articulated model. © 2010 JohnWiley & Sons, Ltd.

Research Area(s)

  • Motion capture and retargeting, Motion synthesis, Path planning

Citation Format(s)

A hybrid approach for simulating human motion in constrained environments. / Pan, Jia; Zhang, Liangjun; Lin, Ming C.; Manocha, Dinesh.

In: Computer Animation and Virtual Worlds, Vol. 21, No. 3-4, 05.2010, p. 137-149.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review