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...
Main Authors: | Hamal, Abdul Qayoom, Othman, Marini, Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2012
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Subjects: | |
Online Access: | http://irep.iium.edu.my/32132/ http://irep.iium.edu.my/32132/ http://irep.iium.edu.my/32132/1/32132.pdf |
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