Emotion recognition from facial expressions and its control using fuzzy logic

  • Authors:
  • Aruna Chakraborty;Amit Konar;Uday Kumar Chakraborty;Amita Chatterjee

  • Affiliations:
  • Department of Computer Science and Engineering, St. Thomas' College of Engineering and Technology, Calcutta, India and Jadavpur University, Calcutta, India;Department of Electronics and Tele-Communication Engineering, Jadavpur University, Calcutta, India;Department of Mathematics and Computer Science, University of Missouri, St. Louis, MO;Centre for Cognitive Science, Department of Philosophy, Jadavpur University, Calcutta, India

  • Venue:
  • IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
  • Year:
  • 2009

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Abstract

This paper presents a fuzzy relational approach to human emotion recognition fromfacial expressions and its control. The proposed scheme uses external stimulus to excite specific emotions in human subjects whose facial expressions are analyzed by segmenting and localizing the individual frames into regions of interest. Selected facial features such as eye opening, mouth opening, and the length of eyebrow constriction are extracted from the localized regions, fuzzified, and mapped onto an emotion space by employing Mamdani-type relational models. A scheme for the validation of the system parameters is also presented. This paper also provides a fuzzy scheme for controlling the transition of emotion dynamics toward a desired state. Experimental results and computer simulations indicate that the proposed scheme for emotion recognition and control is simple and robust, with good accuracy.