Support vector machine for face emotion detection on real time basis
Enabling computer systems to recognize facial expressions and infer emotions from them in real time presents a challenging research topic. In this paper, a real-time method is proposed as a solution to the problem of facial expression classification in video sequences. We employ an automatic facial...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5363/ http://irep.iium.edu.my/5363/1/icom11_mehdi_svm.pdf |
| _version_ | 1848776487728054272 |
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| author | Bouhabba, El Mehdi Shafie, Amir Akramin Akmeliawati, Rini |
| author_facet | Bouhabba, El Mehdi Shafie, Amir Akramin Akmeliawati, Rini |
| author_sort | Bouhabba, El Mehdi |
| building | IIUM Repository |
| collection | Online Access |
| description | Enabling computer systems to recognize facial expressions and infer emotions from them in real time presents a challenging research topic. In this paper, a real-time method is proposed as a solution to the problem of facial expression classification in video sequences. We employ an automatic facial feature tracker to perform face localization and feature extraction. The facial feature displacements in the video stream are used as input to a Support Vector Machine classifier. We evaluate our method in terms of recognition accuracy for a variety of interaction and classification scenarios. Our person-dependent and person-independent experiments demonstrate the effectiveness of a support vector machine and feature tracking approach to fully automatic, unobtrusive expression recognition in live video. |
| first_indexed | 2025-11-14T14:30:53Z |
| format | Proceeding Paper |
| id | iium-5363 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:30:53Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-53632012-05-08T06:25:09Z http://irep.iium.edu.my/5363/ Support vector machine for face emotion detection on real time basis Bouhabba, El Mehdi Shafie, Amir Akramin Akmeliawati, Rini TK Electrical engineering. Electronics Nuclear engineering Enabling computer systems to recognize facial expressions and infer emotions from them in real time presents a challenging research topic. In this paper, a real-time method is proposed as a solution to the problem of facial expression classification in video sequences. We employ an automatic facial feature tracker to perform face localization and feature extraction. The facial feature displacements in the video stream are used as input to a Support Vector Machine classifier. We evaluate our method in terms of recognition accuracy for a variety of interaction and classification scenarios. Our person-dependent and person-independent experiments demonstrate the effectiveness of a support vector machine and feature tracking approach to fully automatic, unobtrusive expression recognition in live video. 2011 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/5363/1/icom11_mehdi_svm.pdf Bouhabba, El Mehdi and Shafie, Amir Akramin and Akmeliawati, Rini (2011) Support vector machine for face emotion detection on real time basis. In: 2011 4th International Conference on Mechatronics: Integrated Engineering for Industrial and Societal Development (ICOM 2011), 17-19 May, 2011, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICOM.2011.5937159 doi:10.1109/ICOM.2011.5937159 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Bouhabba, El Mehdi Shafie, Amir Akramin Akmeliawati, Rini Support vector machine for face emotion detection on real time basis |
| title | Support vector machine for face emotion detection on real time basis |
| title_full | Support vector machine for face emotion detection on real time basis |
| title_fullStr | Support vector machine for face emotion detection on real time basis |
| title_full_unstemmed | Support vector machine for face emotion detection on real time basis |
| title_short | Support vector machine for face emotion detection on real time basis |
| title_sort | support vector machine for face emotion detection on real time basis |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/5363/ http://irep.iium.edu.my/5363/ http://irep.iium.edu.my/5363/ http://irep.iium.edu.my/5363/1/icom11_mehdi_svm.pdf |