Research on facial emotion recognition model based on alpha-like algorithm and CNN fusion technology

Dalian University of Technology, Mathematical basic science, 124000 Panjin, China

^* 13796487571@mail.dlut.edu.cn

Abstract

This paper studied a facial emotion recognition model based on the fusion technology of Alpha algorithm and Convolutional Neural Network. By combining the spatial feature extraction ability of CNN with the advantages of alpha algorithm in sequence modeling, the performance of emotion recognition model was improved. This paper introduces the theoretical basis of deep learning and reinforcement learning, and proposes a model combining CNN and Alpha-like algorithm. The experimental results show that the accuracy of the fusion model is improved by about 2.1 times in the emotion classification task, especially in the recognition of anger and disgust, which is significantly higher than the traditional algorithm. However, it is also pointed out that the misclassification problem of the model on some complex emotion categories such as surprise and neutral still exists, and the performance of the model needs to be further improved in the future.