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虚拟人自适应行为的多目标模糊评估与仿真

Fuzzy Multi-objective Assessment and Simulation for Virtual Human's Adaptive Action

  • 摘要: 使用模糊多目标评估方法定义人体的舒适度概念.在舒适度评估的基础上,运用基于规则的多阶段行为尝试策略实现虚拟人的行为规划;采用纳什平衡理论来优化虚拟人体模型的工作姿态.该方法可生成适应环境的人体连续行为仿真,并提供综合工效评估结果.

     

    Abstract: A concept of human body's comfort level is defined by methods of fuzzy multi-objective evaluations. Based on evaluations of the body's comfort level, a rule-based strategy with multiple stages of behavior trials is applied to plan virtual human's behavior. Nash's theory of equilibrium is used to optimize virtual mannequin's working gestures in this strategy. The method can be used to generate sequential simulations of human's behavior for adapting environment and provide synthetical results of ergonomic evaluations.

     

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