Abstract

Facial expression recognition allows computers to understand expressions according to human thinking. It is an important component of human-computer interaction. However, with the rapid development of deep learning, the research of deep learning technology in the field of facial expressions has also become a research hotspot, so is deep learning. It is necessary to analyze the application of technology in facial expression recognition and the results obtained. Firstly, several commonly used expression data sets are summarized; then the expression recognition methods based on deep learning are classified from the aspects of feature extraction and feature classification, and several network improvements in expression recognition based on deep learning are analyzed from the aspect of network improvement. Method; Finally, the challenges and future development in the field of facial expression recognition are described.

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