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Authors
Affiliations
1 Computer Engineering Department, Sinhgad Institute of Technology, Lonavala, Affiliation with Pune University,
Maharashtra, IN
2 Information Technology Department, Sinhgad Institute of Technology, Lonavala, Affiliation with Pune University,
Maharashtra, IN
Source
Journal of Advances in Engineering Sciences, Vol 3, No 2 (2010), Pagination: 53-56
Abstract
The ability to recognize emotion is one of the hallmarks of emotional intelligence, an aspect of human intelligence that has been argued to be even more important than mathematical and verbal intelligence. This paper proposes that machine intelligence needs to include emotional intelligence and demonstrate results toward this goal: developing a machines ability to recognize human emotion from given facial parameter. We describe difficult issues unique to obtain reliable affective data and collect a large set of data from a subject and experience each of two emotional states. This paper presents techniniqus for feature extraction and use algorithm for classification, which is on kernel based. We got 100% recognition accuracy on three classes of emotion, including neutral.
Keywords
DCT, Mean, Entropy, Energy, SVM.
