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Induction and Evaluation of Affects for Facial Motion Capture

机译:面部动作捕捉的归纳和评估

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摘要

In this study, we are interested in capturing the facial configuration of Affects in order to use them for Embodied Conversational Agents. In order to create a believable ECA, it is necessary to capture natural Affects that can be learnt and replayed. However, until now, animation data are extracted from videos and their description is far from being sufficient to generate realistic facial expressions. It seems that believable results cannot be obtained without using 3D motion capture. This is why in this study we tried to set up a protocol for Affects induction in a motion capture situation with manipulated subjects who are unaware of the real goals. Similarly from [1], we induce natural Affects in order to capture the related facial expressions.
机译:在这项研究中,我们有兴趣捕获Affects的面部配置,以便将其用于具体的会话代理。为了创建可信的ECA,有必要捕获可以学习和重放的自然情感。但是,到目前为止,动画数据是从视频中提取的,其描述远远不足以生成逼真的面部表情。如果不使用3D运动捕捉,似乎无法获得令人信服的结果。这就是为什么在本研究中,我们试图为运动捕获情况下的感应诱导协议建立一个协议,该协议中的操纵对象没有意识到真实的目标。与[1]相似,我们通过诱发自然情感来捕获相关的面部表情。

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