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A hybrid approach for simulating human motion in constrained environments
Author(s) -
Pan Jia,
Zhang Liangjun,
Lin Ming C.,
Manocha Dinesh
Publication year - 2010
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.365
Subject(s) - computer science , kinematics , motion planning , path (computing) , motion (physics) , trajectory , perturbation (astronomy) , artificial intelligence , motion capture , computer vision , algorithm , robot , physics , classical mechanics , quantum mechanics , astronomy , programming language
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. Copyright © 2010 John Wiley & Sons, Ltd.