【摘要】 为了实现虚拟制造环境中智能高效的虚拟手,改善目前主流的依赖对用户手抓握动作跟踪的状况,提出一种适用于虚拟制造环境的虚拟手自主行为构造方法.通过在虚拟手结构模型上增加感知环设计,构建虚拟手的感知能力;结合文中提出的虚拟手三阶段感知算法实现虚拟手的自适应行为机制,极大地减轻了操作者的认知和操作负载;通过构造虚拟手手势集和手势状态转换模型,实现了虚拟手在复杂零件表面的连续抓握操作.文中还重点研究了复杂零件表面虚拟手的连续抓握的行为机制和相关算法.实验结果表明,文中的虚拟手具有很好的几何真实感和行为真实感;提出的方法具有良好的可用性、可靠性和实时性.更多还原

【Abstract】 An autonomous virtual hand behavior construction method for virtual manufacturing environments is presented to improve the current mainstream virtual hand animation method which totally depends on capturing a user’s hand movement. The goal of this research is to provide an intelligent efficient virtual hand for virtual manufacturing scenario. The perception ability of virtual hand is established by adding ring sensors to its structural model. An adaptive behavior mechanism of virtual hand is constructed to alleviate user’s cognitive load and manipulative loads which is composed by three-stage perception algorithms the authors invented. Furthermore, a gesture set and a gesture state transition model are given to realize a continuous grasping behavior of virtual hand on the surfaces of complex parts. The focus of this work is to investigate how to construct and realize a kind of continuous virtual hand manipulation behavior mechanism and algorithms on the surfaces of complex parts. The experiment results show that the designed virtual hand in this paper has a good geometric realism and behavior realism. The method given in this paper has characteristics of usability, reliability and real-time.更多还原