Computing with Words for Understanding and Generation of Modal Human Motions affected by Mental and Physical Conditions

在日常的人类运动中，他们可以表达主要的客观运动和次要的修饰运动，这些运动在任何时候都受到他们的精神和/或身体状况的影响。为了实现对人类友好的交互系统，引入人体运动理解和/或生成的人机界面是至关重要的。本研究提出了一个基于人-智能机器系统的人机界面概念框架，并展示了实现以下机制的方法。1)“理解人体动作的人类模仿认知机制”从人体动作中不仅可以区分初级动作，还可以从二次修饰动作中理解情感心理和身体状况。2)“虚拟人体模型的运动修正机制”它使智能机器不仅产生初级的客观运动，而且产生嵌入一定身心条件的虚拟人体模型的二次运动。目前，研究这些机制的方法采用词的概念计算来捕捉人类行为目标和不确定的精神和身体状况，作为人类可理解的语义复合体。为了在该方法中更具体地实现物理运动特征、模态运动的语言类别以及心理和身体状态的语言类别之间的相互转换，它采用了一些特定的软计算过程，即参数特征空间方法、隐马尔可夫模型、Choquet积分智能体网络和遗传算法。为了验证该方法的有效性，进行了一些实验，其中受试者在几个给定的模态修改下播放几个给定的日常动作。将三维运动捕捉系统测量的实验数据应用于该机构的词计算。然后证实了估计的运动模式对于理解人体运动的模拟认知机制是相当有效的。对给定的几种主要运动和给定的几种模态修正，确定了虚拟人体生成的运动在运动修正机制方面是充分的。少

In everyday human motions they can express primary objective motions with secondary modification motions affected by their mental and/or physical conditions at any moment. For realizing human friendly interactive systems, introduction of human interfaces using body motion understanding and/or generation is crucial.This study proposes a conceptual frameworks on human interfaces using human motions for man-intellectual machine systems, and shows the ways to realize the mechanisms mentioned below.1) "Human mimetic cognitive mechanisms for understanding human motions" From human motions it can not only distinct the primary motions but also understand the affective mental and physical conditions from the secondly modification motions.2) "Motion modification mechanisms of virtual mannequins" It makes intellectual machines generate not only the primary objective motions but also the secondly motions of the virtual mannequins which are embedded certain mental and physical conditions.The presen … More t approach to these mechanisms employs the concept computing with words to capture human action objectives and uncertain mental and physical conditions as human comprehensible semantic complexes. To realize more specifically mutual transformations among physical motion features, linguistic categories for modal motions, and linguistic categories for mental and physical conditions in this approach, it employs some specific soft computing procedures, i.e., parametric eigen-space methods, hidden Markov models, Choquet integral agent networks, and GA.To verify the effectiveness of the approach some experiments were conducted, where the subjects played the several given everyday motions with several given modal modifications. The experimental data measured by a 3D motion capture system were applied to the proposed mechanisms computing with words. Then the estimated motion modalities were confirmed to be rather valid concerning the human mimetic cognitive mechanisms for understanding human motions. And the generated motions of virtual mannequin were confirmed to be adequate concerning the motion modification mechanisms for several given primary motions with several given modal modifications. Less