Expression Recognition Algorithm Enhancements for Students Who Integrate Artificial Intelligence Games into Classrooms to Gain Sensitivity

Abstract

This paper proposes an evaluation index system for students' learning performance in colleges and universities, which is composed of 16 indicators in four categories with the integration of artificial intelligence games into the classroom as the basic framework. In terms of functions and evaluation, the theoretical structure and analysis path have been improved. Guided by the improvement of residents' sense of acquisition, the index of students' sense of acquisition is selected. Combining the three-dimensional learning state space with the emotional dimension theory, by analyzing the students' expressive states in the pleasant dimension, combined with the intensity of arousal and valence, an effective classroom state division method is realized, based on behavior theory.