Personalized human emotion classification using genetic algorithm
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Institute of Electrical and Elctronics Engineering (IEEE)
2010
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my.unimap-86862014-05-22T08:31:22Z Personalized human emotion classification using genetic algorithm Mohd Rizon Hazry, Desa Karthigayan, M. Nagarajan, Ramachandran Alajlan, N. Sazali, Yaacob, Prof. Dr. Nor Azmi, Johari Ina Suryani, Ab Rahim Classification Classification of emotions Ellipse fitting Fitness functions Human emotion Lip features 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. 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. One ellipse based fitness function is proposed for eye. 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. 2010-08-16T03:23:10Z 2010-08-16T03:23:10Z 2009-07-05 Working Paper p.224-228 978-0-7695-3734-4 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5230751&tag=1 http://hdl.handle.net/123456789/8686 en Proceedings of the 2nd International Conference in Visualisation (VIZ) 2009 Institute of Electrical and Elctronics Engineering (IEEE) |
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Universiti Malaysia Perlis |
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Asia |
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Malaysia |
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Universiti Malaysia Perlis |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Classification Classification of emotions Ellipse fitting Fitness functions Human emotion Lip features |
| spellingShingle |
Classification Classification of emotions Ellipse fitting Fitness functions Human emotion Lip features Mohd Rizon Hazry, Desa Karthigayan, M. Nagarajan, Ramachandran Alajlan, N. Sazali, Yaacob, Prof. Dr. Nor Azmi, Johari Ina Suryani, Ab Rahim Personalized human emotion classification using genetic algorithm |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| format |
Working Paper |
| author |
Mohd Rizon Hazry, Desa Karthigayan, M. Nagarajan, Ramachandran Alajlan, N. Sazali, Yaacob, Prof. Dr. Nor Azmi, Johari Ina Suryani, Ab Rahim |
| author_facet |
Mohd Rizon Hazry, Desa Karthigayan, M. Nagarajan, Ramachandran Alajlan, N. Sazali, Yaacob, Prof. Dr. Nor Azmi, Johari Ina Suryani, Ab Rahim |
| author_sort |
Mohd Rizon |
| title |
Personalized human emotion classification using genetic algorithm |
| title_short |
Personalized human emotion classification using genetic algorithm |
| title_full |
Personalized human emotion classification using genetic algorithm |
| title_fullStr |
Personalized human emotion classification using genetic algorithm |
| title_full_unstemmed |
Personalized human emotion classification using genetic algorithm |
| title_sort |
personalized human emotion classification using genetic algorithm |
| publisher |
Institute of Electrical and Elctronics Engineering (IEEE) |
| publishDate |
2010 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/8686 |
| _version_ |
1643789250225766400 |