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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Artificial Intelligence and Soft Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
