Study on E-learning System Model based on Affective Computing

Aiming at emotion deficiency in present E-Learning system, a lot of negative effects were analyzed and corresponding countermeasures were proposed. Basing on it, we combined affective computing with the traditional E-Learning system. The model of E-Learning system based on affective computing was constructed by using audiovisual emotion, which took both facial and audio features as input data. Our simulation experiment results showed that rough set theory was effective in emotion recognition, and a high recognition rate is resulted .Besides, other key techniques of realizing the system such as tracking the change of emotion state and adjusting teaching strategies were also introduced.