Cloud-based synthesis of virtual human's bow action
Jie Li, Zhixiao Yang · 2011
Bow action usually expresses human respect intention. The process of human bow is companied with fuzziness and randomness. Current control methods for virtual human's bow cannot describe the uncertainties. A cloud model based method is proposed to control virtual human's bow action. The method can describe the two uncertainties in the process of bow indicating respect intention. Clouds of maximal bow angle, and interval body keeping at the maximal angle, are designed respectively. A cloud model based algorithm for uncertainty control of virtual human's bow action is proposed. Simulation results show that the proposed algorithm can realize uncertainty control of bow by generating random parameters following normal distributions.