1. Objectives
Other than tracing mouse-click and applying instructional strategy in traditional learning behavior analysis, visual behavior analysis tracks learners’ facial expression and detects leaner’s smile to capture real-time learning status. The intelligent analysis of learner’s visual behavior is supported by computer vision techniques to monitor learners’ emotion change and concentration level. It is a positive facilitator to assess learners’ performance and enhance learning efficiency.
2. Research Directions
(1) Facial feature extraction and tracking
(2) Facial pose tracking
(3) Smile detection