TOWARDS SELF-ADAPTIVE LEARNING PLATFORM IN FUTURE CLASSROOM BASED ON EMOTION COMPUTING

The accurate recognition of the emotion of learners is the basis of harmonious emotional interaction in the intelligent learning environment of the future classroom. This project focuses on the lack of research and practical exploration on harmonious emotional interaction in the future classroom, and constructs the database of learning pictures and expression pictures of learners by employing Convolution Neural Network. Endowing the future classroom with a self-adaptive interaction property at the emotional level by emotion computing can promote to learn effectively. The proposed platform can self-adaptively adjust the visual characteristics of learning picture according to the expression of learners, visual emotion preference and learning picture emotion, and then present the adapted learning picture to learners in real time, so as to realize the adaptive interaction at the emotional level in the future classroom.