基于深度学习的智能课堂管理系统研究与实现  

Research and Achievements of Intelligent Classroom Management System Based on Depth Study

作　　者：李玉洁[1] 陈凌钰 Li Yu-jie;Chen Ling-yu(Hubei University of Technology,Wuhan 430000,China)

机构地区：[1]湖北工业大学

出　　处：《武汉船舶职业技术学院学报》2019年第3期25-28,共4页Journal of Wuhan Institute of Shipbuilding Technology

摘　　要：针对高校学生课堂管理与评价还处于人工模式的现状,本文提出了智能化的课堂管理模式,设计了一套基于深度学习的智能课堂管理系统,基于深度学习方法,通过人脸检测、面部表情分析等技术实现了课堂智能考勤、学习状态监控及辅助课堂作业及讨论功能,实际应用效果明显。Based on the current situation of performance management and evaluation for students in universities is still in the manual mode,this paper puts forward intelligent classroom management mode,designing a set of intelligent classroom management system based on depth study.With the deep learning method,technologies such as face detection,facial expression analysis points to the class are implemented in study condition monitoring,auxiliary class assignments and discussions,the actual application effect is obvious.

关 键 词：人脸检测 智能课堂管理 深度学习 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]