Fuzzy fusion for affective state assessment in distance learning based on image detection

Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not handle the studentpsilas learning situation, and they do not know whether the student is attentive, drowsy or absent. If teachers can know the studentpsilas affective state, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students when they are learning and analyzes their face features to evaluate the studentpsilas affective state by fuzzy integral. Finally, teachers can monitor the studentpsilas behavior by the detection results on the system interface.