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...

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Main Authors:	Bouhabba, El Mehdi, Shafie, Amir Akramin, Akmeliawati, Rini
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	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

id	iium-5363
recordtype	eprints
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 Conference or Workshop Item 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
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
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.
format	Conference or Workshop Item
author	Bouhabba, El Mehdi Shafie, Amir Akramin Akmeliawati, Rini
author_facet	Bouhabba, El Mehdi Shafie, Amir Akramin Akmeliawati, Rini
author_sort	Bouhabba, El Mehdi
title	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_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_sort	support vector machine for face emotion detection on real time basis
publishDate	2011
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
first_indexed	2023-09-18T20:13:54Z
last_indexed	2023-09-18T20:13:54Z
_version_	1777407659803148288

Support vector machine for face emotion detection on real time basis

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