Authors: M. Karthigayan; R. Nagarajan; M. Rizon; Sazali Yaacob
Addresses: School of Science and Engineering, Manipal International University (MIU), Kelana Jaya, 47301 Petaling Jaya, Selangor, Malaysia ' School of Mechatronics Engineering, Universiti Malaysia Perlis (UNIMAP), 02600 Jejawi, Perlis, Malaysia ' Department of Electrical Engineering, King Saud University, 11421 Riyadh, Saudi Arabia ' School of Mechatronics Engineering, Universiti Malaysia Perlis (UNIMAP), 02600 Jejawi, Perlis, Malaysia
Abstract: In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic Algorithm (GA). South-east Asian and Japanese faces are considered in this study. The parameters relating the face emotions, in either case, are entirely different. All six universally accepted emotions are considered for classifications. The method that is fastest in extracting lip features is adopted in this study. Observation of various emotions of the subject leads to unique characteristic of lips. GA is adopted to optimise irregular ellipse characteristics of the lip features in each emotion. That is, the top portion of lip configuration is a part of one ellipse and the bottom of different ellipse. Two ellipse-based fitness equations are proposed for the lip configuration and relevant parameters that define the emotion are listed. This approach has given reasonably successful emotion classifications.
Keywords: feature extraction; irregular ellipse fitness function; genetic algorithms; face emotions; emotion recognition; lip patterns; pattern recognition; lip features; Japanese faces; South-east Asian faces; emotion classification.
International Journal of Artificial Intelligence and Soft Computing, 2012 Vol.3 No.2, pp.95 - 107
Accepted: 10 Aug 2011
Published online: 09 Sep 2012 *