人体运动中的解耦、表达与身体力学

Gustavo Eggert Boehs, M. Vieira, Clovis Geyer Pereira
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引用次数: 0

摘要

现代动作捕捉系统可以准确、高精度地存储人体动作。由于数据的数量和复杂性,编辑这类数据很麻烦。在本文中,我们提出了一种方法,将人类运动中与运动和平衡严格相关的方面与其他可能传达表现力和意向性的运动分离开来。然后,我们演示了这种解耦如何在创建原始运动的变化中有用,或者在混合不同的动作在一起。
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Decoupling Expressiveness and Body-Mechanics in Human Motion
Modern motion capturing systems can accurately store human motion with high precision. Editing this kind of data is troublesome, due to the amount and complexity of data. In this paper, we present a method for decoupling the aspects of human motion that are strictly related to locomotion and balance, from other movements that may convey expressiveness and intentionality. We then demonstrate how this decoupling can be useful in creating variations of the original motion, or in mixing different actions together.
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