Synthesizing Rotational Human Motion with Physical Reality

doi:10.16182/j.issn1004731x.joss.201806024

Abstract

Abstract: Both keyframes and their timings play an important role in synthesizing physically realistic human motion. However, physically plausible timings are hard to set by manual. By combing keyframes and the physics-based optimization, a new method is proposed to solve physically plausible timings of given keyframes. Firstly, the keyframes and the initial value of the timings of keyframes are set through a graphical user interface. Secondly, the physically plausible timings of keyframes are obtained by optimizing a small-size nonlinear optimization model. Finally, the rotational human motion is synthesized by the keyframes and the computed timings of keyframes. Experiments are performed based on the captured data of athlete's motions on trampoline and the experimental results show that both the synthesized human motion and its timings are physically plausible.

Key words: keyframe, motion capture, spacetime constraints, physics-based optimization

CLC Number:

TP391.9

Wei Yi, Xia Shihong. Synthesizing Rotational Human Motion with Physical Reality[J]. Journal of System Simulation, 2018, 30(6): 2190-2197.

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