Abstract
Modern distant education (or e-Learning or eLearning) is a type of Technology supported education/learning (TSL) where the medium of instruction is through computer technology, particularly involving digital technologies. Aiming at emotion deficiency in present modern distant education system, a lot of negative effects were analyzed and corresponding countermeasures were proposed. Basing on it, we combined affective computing with the modern distant education system. The model of modern distant education system based on affective computing was constructed by using speech emotion and facial emotion, which took speech feature and facial emotion as input data. The key technologies of Speech Emotion Recognition based on Neural Networks and Facial Emotion Recognition based on SVM have been proposed.
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References
Anderson, D.M., Haddad, C.J.: Gender, voice, and learning in online course environments. Journal of Asynchronous Learning Networks 9(1) (2005)
Jijun, W.: Emotion deficiency and compensation in distance learning. Chinese Network Education (2005)
Xirong, M.: Research on harmonious man-machine interaction model. Computer Science (2005)
Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)
Picard, R.W.: Affective Computing, Challenges. Cambridge. International Journal of Human Computer studies 59(1), 55–64 (2003)
Vapnik, V.N.: Statistical learning theory. Wiley, New York (1998)
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© 2009 Springer-Verlag Berlin Heidelberg
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Luo, Q. (2009). Emotion Recognition in Modern Distant Education System by Using Neural Networks and SVM. In: Qi, L. (eds) Applied Computing, Computer Science, and Advanced Communication. FCC 2009. Communications in Computer and Information Science, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02342-2_33
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DOI: https://doi.org/10.1007/978-3-642-02342-2_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02341-5
Online ISBN: 978-3-642-02342-2
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