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...

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Main Authors:	Khosrowabadi, Reza, Abdul Rahman, Abdul Wahab, Ang, Kai Keng, H Baniasad, Mohammad.
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	T Technology (General)
Online Access:	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

id	iium-38139
recordtype	eprints
spelling	iium-381392014-09-11T04:10:45Z 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 Conference or Workshop Item 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
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
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%.
format	Conference or Workshop Item
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
title	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_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_sort	affective computation on eeg correlates of emotion from musical and vocal stimuli
publishDate	2009
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
first_indexed	2023-09-18T20:54:45Z
last_indexed	2023-09-18T20:54:45Z
_version_	1777410229035597824

Affective computation on EEG correlates of emotion from musical and vocal stimuli

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