论文标题

面部表情和情感在ASL中的作用

The Role of Facial Expressions and Emotion in ASL

论文作者

Kezar, Lee, Zhou, Pei

论文摘要

在量化面部表情与情感语言之间的关系方面,几乎没有工作。在最终报告中,我们提供了两种通过概率和预测来研究这些关系的方法。使用大量的自然签名手动注释,并用面部特征与词汇情感数据集配对,我们发现情感性与脸部之间存在许多关系,并且一个简单的分类器只能通过看脸来预测某人在广泛的情感类别中所说的话。

There is little prior work on quantifying the relationships between facial expressions and emotionality in American Sign Language. In this final report, we provide two methods for studying these relationships through probability and prediction. Using a large corpus of natural signing manually annotated with facial features paired with lexical emotion datasets, we find that there exist many relationships between emotionality and the face, and that a simple classifier can predict what someone is saying in terms of broad emotional categories only by looking at the face.

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