Student Learning State Detection System Based on Facial Expression Recognition Technology

This paper introduces a student learning status monitoring system based on facial expression recognition technology. Based on the changes in facial features of the eyes and mouth, the study focuses on the learning status of students, and on this basis, a student learning status detection system based on facial features is designed. The student learning status monitoring system developed in this project can analyze the classroom learning status of students by identifying and analyzing their facial expression data in the classroom. Scientific and multi-dimensional analysis results can help teachers find more effective classroom teaching methods, thereby achieving targeted improvement of student learning efficiency in the classroom.