Affective computation on EEG correlates of emotion from musical and vocal stimuli
Affective interface that acquires and detects the emotion of the user can potentially enhance the humancomputer interface experience. In this paper, an affective brain-computer interface (ABCI) is proposed to perform affective computation on electroencephalogram (EEG) correlates of emotion. The prop...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2009
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| Online Access: | http://irep.iium.edu.my/38139/ http://irep.iium.edu.my/38139/1/Affective_computation_on_EEG_correlates_of_emotion_from_musical_and_vocal_stimuli.pdf |
| _version_ | 1848781546016735232 |
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| author | Khosrowabadi, Reza Abdul Rahman, Abdul Wahab Ang, Kai Keng H Baniasad, Mohammad. |
| author_facet | Khosrowabadi, Reza Abdul Rahman, Abdul Wahab Ang, Kai Keng H Baniasad, Mohammad. |
| author_sort | Khosrowabadi, Reza |
| building | IIUM Repository |
| collection | Online Access |
| description | Affective interface that acquires and detects the emotion of the user can potentially enhance the humancomputer interface experience. In this paper, an affective brain-computer interface (ABCI) is proposed to perform affective computation on electroencephalogram (EEG) correlates of emotion. The proposed ABCI extracts EEG features from subjects while exposed to 6 emotionally-related musical and vocal stimuli using kernel smoothing density estimation (KSDE) and Gaussian mixture model probability estimation (GMM). A classification algorithm is subsequently used to learn and classify the extracted EEG features. An intersubject validation study is performed on healthy subjects to assess the performance of ABCI using a selection of classification algorithms. The results show that ABCI that employed the Bayesian network and the One-Rule classifier yielded a promising inter-subject validation accuracy of 90%. |
| first_indexed | 2025-11-14T15:51:17Z |
| format | Proceeding Paper |
| id | iium-38139 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:51:17Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-381392020-12-16T15:53:14Z http://irep.iium.edu.my/38139/ Affective computation on EEG correlates of emotion from musical and vocal stimuli Khosrowabadi, Reza Abdul Rahman, Abdul Wahab Ang, Kai Keng H Baniasad, Mohammad. T Technology (General) Affective interface that acquires and detects the emotion of the user can potentially enhance the humancomputer interface experience. In this paper, an affective brain-computer interface (ABCI) is proposed to perform affective computation on electroencephalogram (EEG) correlates of emotion. The proposed ABCI extracts EEG features from subjects while exposed to 6 emotionally-related musical and vocal stimuli using kernel smoothing density estimation (KSDE) and Gaussian mixture model probability estimation (GMM). A classification algorithm is subsequently used to learn and classify the extracted EEG features. An intersubject validation study is performed on healthy subjects to assess the performance of ABCI using a selection of classification algorithms. The results show that ABCI that employed the Bayesian network and the One-Rule classifier yielded a promising inter-subject validation accuracy of 90%. 2009 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/38139/1/Affective_computation_on_EEG_correlates_of_emotion_from_musical_and_vocal_stimuli.pdf Khosrowabadi, Reza and Abdul Rahman, Abdul Wahab and Ang, Kai Keng and H Baniasad, Mohammad. (2009) Affective computation on EEG correlates of emotion from musical and vocal stimuli. In: The 2009 International Joint Conference on Neural Networks (IJCNN 2009), 14-19 June 2009, Atlanta, Georgia, USA. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5178748 |
| spellingShingle | T Technology (General) Khosrowabadi, Reza Abdul Rahman, Abdul Wahab Ang, Kai Keng H Baniasad, Mohammad. Affective computation on EEG correlates of emotion from musical and vocal stimuli |
| title | Affective computation on EEG correlates of emotion from musical and vocal stimuli |
| title_full | Affective computation on EEG correlates of emotion from musical and vocal stimuli |
| title_fullStr | Affective computation on EEG correlates of emotion from musical and vocal stimuli |
| title_full_unstemmed | Affective computation on EEG correlates of emotion from musical and vocal stimuli |
| title_short | Affective computation on EEG correlates of emotion from musical and vocal stimuli |
| title_sort | affective computation on eeg correlates of emotion from musical and vocal stimuli |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/38139/ http://irep.iium.edu.my/38139/ http://irep.iium.edu.my/38139/1/Affective_computation_on_EEG_correlates_of_emotion_from_musical_and_vocal_stimuli.pdf |