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...
| 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/13432/ http://irep.iium.edu.my/13432/1/classification.pdf |
| _version_ | 1848777563543961600 |
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| author | Khosrowabadi, Reza Abdul Rahman, Abdul Wahab |
| author_facet | Khosrowabadi, Reza Abdul Rahman, Abdul Wahab |
| author_sort | Khosrowabadi, Reza |
| building | IIUM Repository |
| collection | Online Access |
| 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 |
| first_indexed | 2025-11-14T14:47:59Z |
| format | Proceeding Paper |
| id | iium-13432 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:47:59Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-134322020-12-16T16:47:30Z 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science T Technology (General) |
| url | http://irep.iium.edu.my/13432/ http://irep.iium.edu.my/13432/ http://irep.iium.edu.my/13432/1/classification.pdf |