Uncertainty Control of Virtual Humans Blink based on Cloud Theory
The process of humans blink expressing deep information of mind has uncertainties of fuzziness and randomness. A cloud theory-based method is proposed to realize uncertainty control of virtual humans blink. Eyes maximal open angle cloud and blink interval cloud are designed. A cloud-based blink control algorithm is proposed. Results of comparing it with certainty method show that the proposed algorithm can generate control curve of blink with random eyes maximal open angles and blink intervals, to realize uncertainty control of blink.
uncertainty control cloud theory blink controle virtual human fuzziness randomness
Sumin Jiao Zhixiao Yang Bin Zhang
College of Information Science and Engineering Henan University of Technology Zhengzhou, China
国际会议
上海
英文
462-465
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）