Abstract
The paper proposes a new approach to emotion recognition from facial expression of a subject by constructing an Interval type-2 fuzzy model. An interval type-2 fuzzy face-space is first constructed with the background knowledge of facial features of different subjects for different emotions. The fuzzy face-space thus created comprises primary membership distributions for m facial features, obtained from n subjects, each having \(\textit{l}\)-instances of facial expression for a given emotion. Second, the emotion of an unknown facial expression is determined based on the consensus of the measured facial features with the fuzzy face-space.The classification accuracy of the proposed method is as high as 88.66 %.
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© 2012 Springer-Verlag Berlin Heidelberg
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Konar, A., Chakraborty, A., Halder, A., Mandal, R., Janarthanan, R. (2012). Interval Type-2 Fuzzy Model for Emotion Recognition from Facial Expression. In: Kundu, M.K., Mitra, S., Mazumdar, D., Pal, S.K. (eds) Perception and Machine Intelligence. PerMIn 2012. Lecture Notes in Computer Science, vol 7143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27387-2_15
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DOI: https://doi.org/10.1007/978-3-642-27387-2_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27386-5
Online ISBN: 978-3-642-27387-2
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