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EEG signals for emotion recognition

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)

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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.

Item Type: Article (Journal)
Additional Information: 6145/9549
Uncontrolled Keywords: Emotion, EEG, RVM, time domain, EFuNN, MFCC
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Prof Abdul Wahab Abdul Rahman
Date Deposited: 26 Jan 2012 10:43
Last Modified: 03 Feb 2012 08:15
URI: http://irep.iium.edu.my/id/eprint/9549

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