Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram

This paper presents the classification of EEG correlates on emotion using features extracted by Gaussian mixtures of EEG spectrogram. This method is compared with three feature extraction methods based on fractal dimension of EEG signal including Higuchi, Minkowski Bouligand, and Fractional Brownian...

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Main Authors:	Khosrowabadi, Reza, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	QA75 Electronic computers. Computer science T Technology (General)
Online Access:	http://irep.iium.edu.my/13432/ http://irep.iium.edu.my/13432/ http://irep.iium.edu.my/13432/1/classification.pdf

id	iium-13432
recordtype	eprints
spelling	iium-134322016-02-13T07:23:20Z http://irep.iium.edu.my/13432/ Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram Khosrowabadi, Reza Abdul Rahman, Abdul Wahab QA75 Electronic computers. Computer science T Technology (General) This paper presents the classification of EEG correlates on emotion using features extracted by Gaussian mixtures of EEG spectrogram. This method is compared with three feature extraction methods based on fractal dimension of EEG signal including Higuchi, Minkowski Bouligand, and Fractional Brownian motion. The K nearest neighbor and Support Vector Machine are applied to classify extracted features. The 4 emotional states investigated in this paper are defined using the valence-arousal plane: two valence states (positive and negative) and two arousal states (calm, excited). The accuracy of system to classify 4 emotional states is investigated on EEG collected from 26 subjects (20 to 32 years old) while exposed to emotionally-related visual and audio stimuli. The results showed that the proposed feature extraction using Gaussian mixtures of EEG spectrogram yielded better classification results using the KNN classifier 2011-08-04 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/13432/1/classification.pdf Khosrowabadi, Reza and Abdul Rahman, Abdul Wahab (2011) Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram. In: 2010 International Conference on Information and Communication Technology for the Muslim World (ICT4M), 13-14 December 2010, Jakarta, Indonesia. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5971942&tag=1
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science T Technology (General)
spellingShingle	QA75 Electronic computers. Computer science T Technology (General) Khosrowabadi, Reza Abdul Rahman, Abdul Wahab Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram
description	This paper presents the classification of EEG correlates on emotion using features extracted by Gaussian mixtures of EEG spectrogram. This method is compared with three feature extraction methods based on fractal dimension of EEG signal including Higuchi, Minkowski Bouligand, and Fractional Brownian motion. The K nearest neighbor and Support Vector Machine are applied to classify extracted features. The 4 emotional states investigated in this paper are defined using the valence-arousal plane: two valence states (positive and negative) and two arousal states (calm, excited). The accuracy of system to classify 4 emotional states is investigated on EEG collected from 26 subjects (20 to 32 years old) while exposed to emotionally-related visual and audio stimuli. The results showed that the proposed feature extraction using Gaussian mixtures of EEG spectrogram yielded better classification results using the KNN classifier
format	Conference or Workshop Item
author	Khosrowabadi, Reza Abdul Rahman, Abdul Wahab
author_facet	Khosrowabadi, Reza Abdul Rahman, Abdul Wahab
author_sort	Khosrowabadi, Reza
title	Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram
title_short	Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram
title_full	Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram
title_fullStr	Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram
title_full_unstemmed	Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram
title_sort	classification of eeg correlates on emotion using features from gaussian mixtures of eeg spectrogram
publishDate	2011
url	http://irep.iium.edu.my/13432/ http://irep.iium.edu.my/13432/ http://irep.iium.edu.my/13432/1/classification.pdf
first_indexed	2023-09-18T20:22:36Z
last_indexed	2023-09-18T20:22:36Z
_version_	1777408206739341312

Classification of EEG correlates on emotion using features from Gaussian mixtures of EEG spectrogram

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