人机交互中的人脸表情识别研究进展

The Research Advance of Facial Expression Recognition in Human Computer Interaction

随着人机交互与情感计算技术的快速发展,人脸表情识别已成为人们研究的热点。为了阐明人机交互中人脸表情识别的研究方向及进展,该文从人脸表情数据库、表情特征提取、表情分类方法、鲁棒的表情识别、精细的表情识别、混合表情识别、非基本表情识别等方面对人脸表情识别的研究现状进行了分析。最后总结了人脸表情识别研究的热点及趋势,同时指出了人脸表情识别研究存在的局限性,并对人脸表情识别的发展进行了展望。

Along with the rapid progress of the technologies in human computer interaction and affective computing, facial expression recognition has been actively researched. To clarify the research direction and development of facial expression recognition in human computer interaction, the research states of facial expression recognition are analyzed from the aspects of facial expression database, facial feature extraction, facial expression classification methods, robust facial expression recognition, fine-graded facial expression recognition, mixed facial expression recognition, and non-basic facial expression recognition. Finally, the study hotspots and trends of facial expression recognition are concluded, the limits in facial expression recognition are pointed out, and the expectation of the development of facial expression recognition is given.