基于表情识别技术的学生学习状态监控系统  

Student Learning Status Monitoring System Based on Expression Recognition Technology

作　　者：王超凡 王柏淋 盛果妮 黄聘博 

机构地区：[1]绍兴文理学院,数理信息学院,浙江 绍兴

出　　处：《计算机科学与应用》2022年第1期26-32,共7页Computer Science and Application

摘　　要：本文简要介绍了基于表情识别技术的学生学习状态监控系统。该学习状态监控系统主要由摄像头、电脑两部分组成,它的开发思路是用摄像头捕获画面;用电脑控制整个系统和操作流程,旨在通过表情实时测量学生在学习过程中的情绪变化。本项目开发的学生学习状态监控系统,能够在课堂上通过识别并分析学生的面部表情数据对学生的课堂学习状态进行分析,科学且多方位的分析结果能够帮助老师找到更加有效的课堂教学方式,从而做到针对性地提高学生在课堂中的学习效率。This paper briefly describes students’ learning status monitoring systems based on expression recognition technology. The learning status monitoring system consists primarily consisting of two parts of the computer. Its development idea is to capture the screen with camera;control the entire system and operational process with computers to measure students’ emotional changes in the learning process through expressions. The student learning status monitoring system developed by this project can analyze the students’ class study status by identifying and analyzing students’ facial expression data in class. Scientific and multi-faceted analysis results can help teachers find more effective classroom teaching methods. This is achieved to improve the learning efficiency of students in the classroom.

关 键 词：教学反馈 表情识别 人脸检测 学习状态 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]