EEG signals for emotion recognition

This paper proposes an emotion recognition system using the electroencephalographic (EEG) signals. Both time domain and frequency domain approaches for feature extraction were evaluated using neural network (NN) and fuzzy neural network (FNN) as classifiers. Data was collected using psychological st...

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Main Authors:	Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda, Palaniappan, L. K., Li, M., Khosrowabadi, Reza
Format:	Article
Language:	English
Published:	IOS, STM Publisher House 2010
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/9549/ http://irep.iium.edu.my/9549/ http://irep.iium.edu.my/9549/1/EEG_signals_for_emotion_recognition.pdf

id	iium-9549
recordtype	eprints
spelling	iium-95492012-02-03T00:15:25Z http://irep.iium.edu.my/9549/ EEG signals for emotion recognition Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Palaniappan, L. K. Li, M. Khosrowabadi, Reza T Technology (General) This paper proposes an emotion recognition system using the electroencephalographic (EEG) signals. Both time domain and frequency domain approaches for feature extraction were evaluated using neural network (NN) and fuzzy neural network (FNN) as classifiers. Data was collected using psychological stimulation experiments. Three basic emotions namely; Angry, Happy, and Sad were selected for recognition with relax as an emotionless state. Both the time domain (based on statistical method) and frequency domain (based on MFCC) approaches shows potential to be used for emotion recognition using the EEG signals. IOS, STM Publisher House 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/9549/1/EEG_signals_for_emotion_recognition.pdf Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda and Palaniappan, L. K. and Li, M. and Khosrowabadi, Reza (2010) EEG signals for emotion recognition. Journal of Computational Methods in Sciences and Engineering , 10 (Supp.1). pp. 1-11. ISSN 1875-8983 (O), 1472-7978 (P) https://iospress.metapress.com/content/b7061062m48661g6/resource-secured/?target=fulltext.pdf
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) Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Palaniappan, L. K. Li, M. Khosrowabadi, Reza EEG signals for emotion recognition
description	This paper proposes an emotion recognition system using the electroencephalographic (EEG) signals. Both time domain and frequency domain approaches for feature extraction were evaluated using neural network (NN) and fuzzy neural network (FNN) as classifiers. Data was collected using psychological stimulation experiments. Three basic emotions namely; Angry, Happy, and Sad were selected for recognition with relax as an emotionless state. Both the time domain (based on statistical method) and frequency domain (based on MFCC) approaches shows potential to be used for emotion recognition using the EEG signals.
format	Article
author	Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Palaniappan, L. K. Li, M. Khosrowabadi, Reza
author_facet	Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Palaniappan, L. K. Li, M. Khosrowabadi, Reza
author_sort	Abdul Rahman, Abdul Wahab
title	EEG signals for emotion recognition
title_short	EEG signals for emotion recognition
title_full	EEG signals for emotion recognition
title_fullStr	EEG signals for emotion recognition
title_full_unstemmed	EEG signals for emotion recognition
title_sort	eeg signals for emotion recognition
publisher	IOS, STM Publisher House
publishDate	2010
url	http://irep.iium.edu.my/9549/ http://irep.iium.edu.my/9549/ http://irep.iium.edu.my/9549/1/EEG_signals_for_emotion_recognition.pdf
first_indexed	2023-09-18T20:19:13Z
last_indexed	2023-09-18T20:19:13Z
_version_	1777407994017873920

EEG signals for emotion recognition

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