Interval type-2 fuzzy model for emotion recognition from facial expression

Authors:
Amit Konar;Aruna Chakraborty;Anisha Halder;Rajshree Mandal;Ramadoss Janarthanan
Affiliations:
ETCE Department, Jadavpur University, Kolkata, India;Department of Computer Science and Engineering, St. Thomas College of Engineering and Technology, Kolkata, India;ETCE Department, Jadavpur University, Kolkata, India;ETCE Department, Jadavpur University, Kolkata, India;Department of IT, Jaya Engg. College, Chennai, India
Venue:
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Year:
2012

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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 %.