Abstract
Emotion deficit is an intelligent in e-learning technology research. The main purpose of the paper is based on Support Vector Machine (SVM) through the samples data analysis of the face area, interpupillary distance, eye spacing and mouth curvature to build to the aversion degree, cheer degree and pleasure degree based emotion model of personality academic emotions. All of these lay the foundation for emotional teaching in E-Learning system.
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Acknowledgments
The research is supported by the National Natural Science Foundation of China (Grant No.60970052) and Beijing Natural Science Foundation (The Study of Personalized e-learning Community Education based on Emotional Psychology).
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Wu, Jb., Wang, Ws. (2013). Personalized Emotion Model Based on Support Vector Machine. In: Qi, E., Shen, J., Dou, R. (eds) The 19th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38391-5_160
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DOI: https://doi.org/10.1007/978-3-642-38391-5_160
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