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