Research on affective computing model in E-learning system

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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. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Zhao, R., Ren, Z., Zhang, L., & Qin, R. (2007). Research on affective computing model in E-learning system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4489 LNCS, pp. 599–602). Springer Verlag. https://doi.org/10.1007/978-3-540-72588-6_102

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