解耦复杂情绪中的面部表情和头部动作

Andra Adams, M. Mahmoud, T. Baltrušaitis, P. Robinson
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引用次数: 42

摘要

通过面部表情和头部运动来感知情绪是心理学和情感计算研究者的兴趣所在。然而,人们对每一种形态的重要性知之甚少,因为它们经常被放在一起而不是分开处理。我们提出了一项研究,分离了头部运动的影响,从面部表情在视频的复杂情绪的感知。我们证明,头部运动携带的情绪信息是互补的,而不是多余的情绪内容在面部表情。最后,我们表明,头部运动中的情感表达并不局限于点头和摇头,其他手势(如头部倾斜、抬起和一般的运动量)可能对自动识别系统有益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decoupling facial expressions and head motions in complex emotions
Perception of emotion through facial expressions and head motion is of interest to both psychology and affective computing researchers. However, very little is known about the importance of each modality individually, as they are often treated together rather than separately. We present a study which isolates the effect of head motion from facial expression in the perception of complex emotions in videos. We demonstrate that head motions carry emotional information that is complementary rather than redundant to the emotion content in facial expressions. Finally, we show that emotional expressivity in head motion is not limited to nods and shakes and that additional gestures (such as head tilts, raises and general amount of motion) could be beneficial to automated recognition systems.
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