Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009
Article type: Research Article
Authors: Wahab, A.; * | Kamaruddin, N. | Palaniappan, L.K. | Li, M. | Khosrowabadi, R.
Affiliations: Kulliyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, Kuala Lumpur, Malaysia
Correspondence: [*] Corresponding author: Dr. Abdul Wahab, Kulliyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, 51300, Kuala Lumpur, Malaysia. Tel.: +60 3 6196 5179/60 6196 5662; E-mail: abdulwahab@kict.iiu.edu.my.
Abstract: 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.
Keywords: Emotion, EEG, RVM, time domain, EFuNN, MFCC
DOI: 10.3233/JCM-2010-0263
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 10, no. s1, pp. S1-S11, 2010
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl