A three-stage framework extracts action timelines from egocentric nursing simulation videos with frozen encoders and HMM decoding, revealing a negative correlation between recognition accuracy and instructor-rated competency.
Automatic detection of learning-centered affective states in the wild
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AI-Assisted Competency Assessment from Egocentric Video in Simulation-Based Nursing Education
A three-stage framework extracts action timelines from egocentric nursing simulation videos with frozen encoders and HMM decoding, revealing a negative correlation between recognition accuracy and instructor-rated competency.