关键词: 虚拟人, 运动控制, 运动捕获, 驱动精度, 仿真, 发动机

Abstract: In virtual environment, the method of using real-time driving virtual human with motion capture to simulate the assembly and disassembly for complex products had a high requirement for virtual human's driving accuracy. On the basis of analyzing the influencing factors of virtual human's real-time driving accuracy, the solution and key technology were proposed systematically. Aiming at the problem that the driving accuracy was influenced by size difference between real human and virtual human, the virtual human real-time motion control model by using dynamic constraints was built, and human driving with individuation was realized. Aiming at the problem that the driving accuracy was influenced by driving noise, a noise filtering rule was established based on the body joints' limit angles and the ranges of the joints angles between current frame and previous frame. A noise compensation model based on Grey System Theory (GST) was introduced to realize online compensation for filterable missing information. An automobile engine's virtual assembly was taken as an example to analyze the real-time driving accuracy of virtual human, and the result showed that the proposed solution could meet the driving accuracy and real-time demand.

Key words: virtual human, motion control, motion capture, driving accuracy, simulation, automobile engine