Design of Classroom Emotion Recognition System Based on CNN Model
TAN Fangyong
BAI Chenyu
JI Caiyun
Abstract：A facial emotion recognition system based on CNN is proposed to solve the recognition and storage problems existing in the current traditional classroom emotion management system.This system realizes the assessment of classroom teaching effect through methods such as classroom image collection,face positioning and identity recognition,facial emotion recognition,and statistical analysis of classroom emotion data,and it cooperates with facial emotion recognition technology.Through testing and verification,it is proven that the system can effectively meet the requirements of the assessment of classroom teaching effect feedback.
Keywords：Convolutional Neural Network(CNN)teaching monitoringface recognitionemotion recognitionteaching assessment
Publication Date：2025-03-31
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 42-47 )