Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Digital Image Processing
Emotion Recognition Using a Cauchy Naive Bayes Classifier
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Facial feature extraction using genetic algorithm
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A real-time automated system for the recognition of human facial expressions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hi-index | 0.00 |
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.