A Knowledge-based Approach for Lifelike Gesture Animation

A Knowledge-based Approach for Lifelike Gesture Animation
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基于知识的逼真手势动画方法

DOI:
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发表时间:
2000
期刊:
European Conference on Artificial Intelligence
影响因子:
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通讯作者:
I. Wachsmuth
I. Wachsmuth
中科院分区:
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文献类型:
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作者:
S. Kopp;I. Wachsmuth

文献摘要

被引文献

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除了语音之外,虚拟代理的交流行为中包含的其他形式已经成为人机界面研究人员的焦点,因为当除了语音之外还显示适当的非语言行为时,人类更有可能认为计算机生成的数字栩栩如生。在本文中,我们提出了一个基于知识的方法自动生成的手势动画的一个铰接的数字。它结合了一个形式主义的时空姿态功能的表示,规划个人的手势动画w.r.t.来形成和定时,以及手臂轨迹的形成。最后,增强的方法,从电机程序渲染动画纳入执行计划的姿态。该方法的目标是实现各种各样的手势,以及在合成代理的逼真程度更高。
The inclusion of additional modalities into the communicative behavior of virtual agents besides speech has moved into focus of human-computer interface researchers, as humans are more likely to consider computer-generated figures lifelike when appropriate nonverbal behaviors are displayed in addition to speech. In this paper, we propose a knowledge-based approach for the automatic generation of gesture animations for an articulated figure. It combines a formalism for the representation of spatiotemporal gesture features, methods for planning individual gestural animations w.r.t. to form and timing, and formation of arm trajectories. Finally, enhanced methods for rendering animations from motor programs are incorporated in the execution of planned gestures. The approach is targetted to achieve a great variety of gestures as well as a higher degree of lifelikeness in synthetic agents.