A three-stage pipeline uses few-shot VLM action parsing, sliding-window segmentation, and LLM sequence classification with peer context to measure student engagement from classroom videos.
Student behavior recognition system for the classroom environment based on skeleton pose estimation and person detection.Sensors, 21(16):5314
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Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification
A three-stage pipeline uses few-shot VLM action parsing, sliding-window segmentation, and LLM sequence classification with peer context to measure student engagement from classroom videos.