Research on Affective Computing Model in E-Learning System

Authors:
Ruiming Zhao;Zhenhui Ren;Li Zhang;Ruiguo Qin
Affiliations:
Mechanical and Electrical College, Hebei Agriculture University, Baoding 071001, China;Mechanical and Electrical College, Hebei Agriculture University, Baoding 071001, China;Mechanical and Electrical College, Hebei Agriculture University, Baoding 071001, China;Hebei Baoding TV, Baoding 071050, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

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Abstract

Emotion deficiency was a hot topic research in current E-learning system. A lot of negative effects were analyzed and corresponding counter- measures were proposed in the paper. Basing on it, affective computing model was set up and used in the traditional E-learning system. Affective computing model was constructed by using audiovisual emotion, which took both facial and audio features as input data. Rough set theory was used in audiovisual emotion recognition. Our simulation experiment results showed that Rough set theory was effective in emotion recognition, and a high recognition rate was resulted.