摘要
提出并详细介绍了一种基于人脸识别技术的课堂教学行为S-T分析系统的设计.该系统以S-T分析法为理论基础,采用多种人脸识别算法,包括年龄检测、表情分析、姿态分析等,旨在自动识别并分析教师和学生在课堂上的行为.基于大量课堂视频数据的准备、软件系统原型的设计、深入研究课堂教学行为理论等,解决人脸识别技术的算法选型、视频关键帧的分析与因果关系模型的建立、系统运行的稳定性和界面设计等关键技术问题.通过系统性的需求分析、设计与架构、实现、评估与可视化等阶段的论述,详细展现了该系统的开发过程.
Abstract
The present study proposes and elaborates on the design of a classroom teaching behavior S-T analysis system based on facial recognition technology.The system,grounded in the S-T analysis method,incorporates various facial recognition algorithms,including age detection,facial expression analysis,and posture analysis.Its objective is to automatically identify and analyze the be-haviors of both teachers and students in the classroom.Based on the preparation of a large amount of classroom video data,the design of software system prototypes,and in-depth research on classroom teaching behavior theory,key technical issues such as algorithm se-lection for facial recognition technology,analysis and establishment of causal relationship models for video keyframes,system opera-tion stability,and interface design are solved.Through systematic stages of requirement analysis,design and architecture,implemen-tation,evaluation,and visualization,the paper provides a detailed exposition of the system's development process.
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