基于人脸识别的课堂教学行为S-T分析系统设计  

Design of a Classroom Teaching Behavior S-T Analysis System Based on Facial Recognition

作　　者：韦雁仙[1] 李霖[2] 段宁贵 Wei Yanxian;Li Lin;Duan Ninggui(Modern Educational Technology Center,Wuzhou University,Wuzhou 543002,Guangxi,China;Wuzhou No.1 Middle School,Wuzhou 543002,Guangxi,China;School of Public Health and Management,Youjiang Medical University for Nationalities,Baise 533000,Guangxi,China)

机构地区：[1]梧州学院现代教育技术中心,广西梧州543002 [2]梧州市第一中学,广西梧州543002 [3]右江民族医学院公共卫生与管理学院,广西百色533000

出　　处：《梧州学院学报》2024年第3期36-45,共10页Journal of Wuzhou University

基　　金：广西高校中青年教师科研基础能力提升项目(2022KY0673);梧州市科技计划项目(2023A05022);2021年度梧州市教育科学规划课题(2021A003)。

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。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 behaviors 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 selection for facial recognition technology,analysis and establishment of causal relationship models for video keyframes,system operation stability,and interface design are solved.Through systematic stages of requirement analysis,design and architecture,implementation,evaluation,and visualization,the paper provides a detailed exposition of the system′s development process.

关 键 词：课堂教学行为 S-T分析法 人脸识别技术 关键帧 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论] TP315[自动化与计算机技术—计算机科学与技术]