Personalized face emotion classification using optimized data of three features
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Institute of Electrical and Electronics Engineering (IEEE)
2009
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my.unimap-66702016-06-12T14:28:53Z Personalized face emotion classification using optimized data of three features Muthukaruppan, Karthigayan Ramachandran, Nagarajan Mohd Rizon, Mohamed Juhari Sazali, Yaacob Genetic algorithm (GA) Emotion recognition Face recognition Image classification Human face recognition (Computer science) Image processing Link to publisher's homepage at http://ieeexplore.ieee.org In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. All six universally accepted emotions and one neutral are considered for classifications. The method which is fastest in extracting lip features is adopted in this study. Observation of various emotions of the subject lead to an unique characteristic of lips and eye. GA is adopted to optimize irregular ellipse and regular ellipse characteristics of the lip and eye features in each emotion respectively. The GA method approach has achieved reasonably successful classification of emotion. While performing classification, optimized values can mess or overlap with other emotions range. In order to overcome the overlapping problem between the emotions and at the same time to improve the classification, a neural network (NN) approach is implemented. The GA-NN based process exhibits a range of 83% - 90% classification of the emotion from the optimized feature of top lip, bottom lip and eye. 2009-08-03T08:59:37Z 2009-08-03T08:59:37Z 2007 Article p.57-60 978-0-7695-2994-1 http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4457492 http://hdl.handle.net/123456789/6670 en Proceedings of 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2007) Institute of Electrical and Electronics Engineering (IEEE) |
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Malaysia |
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| language |
English |
| topic |
Genetic algorithm (GA) Emotion recognition Face recognition Image classification Human face recognition (Computer science) Image processing |
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Genetic algorithm (GA) Emotion recognition Face recognition Image classification Human face recognition (Computer science) Image processing Muthukaruppan, Karthigayan Ramachandran, Nagarajan Mohd Rizon, Mohamed Juhari Sazali, Yaacob Personalized face emotion classification using optimized data of three features |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org |
| format |
Article |
| author |
Muthukaruppan, Karthigayan Ramachandran, Nagarajan Mohd Rizon, Mohamed Juhari Sazali, Yaacob |
| author_facet |
Muthukaruppan, Karthigayan Ramachandran, Nagarajan Mohd Rizon, Mohamed Juhari Sazali, Yaacob |
| author_sort |
Muthukaruppan, Karthigayan |
| title |
Personalized face emotion classification using optimized data of three features |
| title_short |
Personalized face emotion classification using optimized data of three features |
| title_full |
Personalized face emotion classification using optimized data of three features |
| title_fullStr |
Personalized face emotion classification using optimized data of three features |
| title_full_unstemmed |
Personalized face emotion classification using optimized data of three features |
| title_sort |
personalized face emotion classification using optimized data of three features |
| publisher |
Institute of Electrical and Electronics Engineering (IEEE) |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/6670 |
| _version_ |
1643788574731010048 |
| score |
13.214268 |