Facial Feature-based Expression Recognition System

With the continuous progress of computer technology and artificial intelligence research, Facial Expression Recognition (FER) is the core problem of artificial psychology and emotion research, and it is also an important direction of human-computer interaction technology. This paper discusses the design of the expression recognition system in depth, especially the improvement of the feature extraction-related algorithm, in order to improve the accuracy of expression recognition and ultimately achieve the goal of the expression recognition system. This paper uses a method based on the improved AdaBoost algorithm and Haar features to improve the accuracy and speed of face detection. Comparing the training time and accuracy rate of the algorithm before and after