Research and Analysis of Facial Emotion Recognition Based on Convolutional Neural Network

Abstract

Product neural network is one of the most popular deep learning models, because of its good feature extraction ability and classification prediction effect, it is widely used in the field of image recognition, face recognition and natural language processing, etc. The CNN’s local connectivity, weight sharing and downsampling are the significant features that differentiate it from other network models. User emotion recognition is the basis of human-machine emotional interaction, for in the welcoming scene, the user emotion performance in the interaction process is mostly composite emotions, so the recognition of the basic emotion category can not satisfy the robot for the characterization of any user emotion, for this kind of problem, this paper proposes an emotion cognition method based on the characterization of facial features, and under the role of convolutional neural network, the human facial emotion recognition is carried out. research and exploration. Combined with the research of human facial emotion recognition under big data technology is a new field of big data used in human research, this study is based on the research foundation of previous scholars, and carries out in-depth exploration and analysis, which plays a certain role in promoting the research of human facial emotion recognition.