EEG affect analysis based on KDE and MFCC

Classifying emotions based on the affective states of valence and arousal captured from brain discharge remains a challenge. The selection of the most efficient and reliable method of feature extraction forms a very important problem of EEG signal classification. Different methods applied are usuall...

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Bibliographic Details

Main Authors:	Hamal, Abdul Qayoom, Othman, Marini, Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab
Format:	Proceeding Paper
Language:	en
Published:	2012
Subjects:	BF511 Affection. Feeling. Emotion T58.5 Information technology
Online Access:	http://irep.iium.edu.my/32132/1/32132.pdf http://irep.iium.edu.my/32132/ http://www.isca-hq.org/ACC2012Program.pdf
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