Synthesizing Rotational Human Motion with Physical Reality

Authors

Wei Yi, 1. School of Mathematics and Computer, Wuyi University, Wuyishan 354300, China;;3. Fujian Provincial Key Lab of Cognitive Computing and Intelligent Information Processing, Wuyishan 354300, China;
Shihong Xia, 2. Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;;

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.

Recommended Citation

Yi, Wei and Xia, Shihong (2018) "Synthesizing Rotational Human Motion with Physical Reality," Journal of System Simulation: Vol. 30: Iss. 6, Article 24.
DOI: 10.16182/j.issn1004731x.joss.201806024
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/24

First Page

2190

Revised Date

2017-07-22

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201806024

Last Page

2197

CLC

TP391.9

Recommended Citation

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

DOI

10.16182/j.issn1004731x.joss.201806024