[FEATURE]: Education AI Suite - Class Engagement panel to display video-based engagement for Smart Classroom sample app
Description Extend the class engagement panel to include visual engagement metrics derived from video-based pose detection, ReID tracking, and facial activity. This will provide a more holistic view of classroom participation and attention.
Assumptions
- Video input may be file-based or real-time in future releases.
- Engagement metrics can be inferred from:
- Pose detection (e.g., standing, hand-raising)
- ReID tracking (e.g., movement patterns)
- Face detection (e.g., attention direction)
Dependencies
- Face Detection, Pose Detection, ReID
- GUI enhancements to support multi-modal overlays
Expected Output
- Engagement heatmap or score per student
- Visual overlays on classroom video (optional)
Acceptance Criteria
- Engagement metrics are computed from video input
- GUI displays visual engagement indicators
- Validated with at least 2 classroom video samples