基于LabVIEW和深度视觉传感器的课堂智能管理系统

Intelligent Management System of Classroom Based on LabVIEW and Depth Vision Sensor

为解决现有课堂过程管理手段比较落后,系统功能比较单一的问题,本文设计了一种集课堂考勤、课堂行为识别和管理、自主学习管理于一体的智能课堂管理系统.该系统以深度视觉传感器Kinect V2为数据采集设备,以LabVIEW为软件开发平台,实现了基于人脸识别和移动设备定位相结合的课堂考勤功能,基于骨架特征提取和SVM分类器的课堂行为识别和分析功能,基于MyEclipse和MySQL数据库的学生自主学习管理功能.实验表明,该系统人脸识别签到的识别准确率达到97%;课堂行为识别精度达到95%以上;数据库设计合理完善,自主学习功能灵活可靠.

To solve the problems that the existing classroom process management method is backward and that the functions of the current classroom management system are limited,this study designs an intelligent management system that integrates classroom attendance checking,classroom behavior recognition and management,and autonomous learning management.The system uses the depth vision sensor Kinect V2 as its data acquisition device and LabVIEW as its software development platform.It fulfills a classroom attendance checking function based on the combination of face recognition and mobile device positioning,a classroom behavior recognition and analysis function based on skeleton feature extraction and the support vector machine(SVM)classifier,and a student autonomous learning management function based on MyEclipse and MySQL database.The experimental results show that the recognition accuracy of the system for face recognition sign-in reaches 97%and its accuracy of classroom behavior recognition is more than 95%.The database design is reasonable and well established,and the autonomous learning function is flexible and reliable.