基于计算机视觉的课堂质量监测系统研发  

Research&Development of a Classroom Quality Monitoring System Based on Computer Vision

作　　者：张素琪[1] 刘赛 李琳睿 张宁 李晓涛 高敏迪 Zhang Suqi;Liu Sai;Li Linrui;Zhang Ning;Li Xiaotao;Gao Mindi(School of Information Engineering,Tianjin University of Commerce,Tianjin 300134,China)

机构地区：[1]天津商业大学信息工程学院,天津300134

出　　处：《办公自动化》2024年第2期1-4,共4页Office Informatization

基　　金：2022年天津市大学生创新创业训练计划项目市级(202210069144)。

摘　　要：课堂质量一直是教师、家长以及院校普遍关注的焦点问题。目前,传统课堂的教学监控设备只能进行课程录播,无法提供学生的状态信息,无法向师生全面展示课堂质量。文章针对此问题,结合用户需求进行分析、设计并实现基于计算机视觉的课堂质量监测系统。首先基于OpenPose人体骨骼关键点监测技术,准确捕捉并识别学生课堂动作,从学生的专注度、行为反应、出勤统计等多个维度分析整合课堂行为数据,通过数据可视化方式将分析结果呈现给用户。然后基于SpringMVC+MyBatis框架开发“Aeye”课堂质量监测系统,实现对教学过程及教学效果的全面评估,为教师和教务督查人员提供合理的反馈和建议,帮助其优化教学方式和策略,推动教育教学的创新与发展。同时,为学生调整课堂学习状态提供及时、有效的参考方案。At present,the traditional classroom teaching monitoring equipment cannot fully display the classroom quality to teachers and students through visual data.This article analyzes,designs,and implements a computer vision based classroom quality monitoring system based on users needs in response to the current problems in classroom quality monitoring.Firstly,based on OpenPose human skeleton key points monitoring technology,capture and recognize accurately the students'classroom actions,analyze and integrate classroom behavior data from multiple dimensions such as students'concentration,behavioral reactions,attendance statistics etc.,and present the analytic results to users through data visualization.Then,based on the SpringMVC+MyBatis framework,the"Aeye"classroom quality monitoring system is developed,aiming to achieve a comprehensive evaluation of the teaching process and teaching effectiveness,provide reasonable feedback and suggestions for the teachers and academic inspectors,help them to optimize the teaching methods and strategies,and promote innovation and development of education and teaching.At the same time,it provides timely and effective reference plans for students to adjust their classroom status.

关 键 词：课堂质量 图像处理 行为分析 监测系统 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程] G424.21[自动化与计算机技术—控制科学与工程]