EEG affect analysis based on KDE and MFCC

• Main Authors: Hamal, Abdul Qayoom, Othman, Marini, Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab
• Format: Conference or Workshop Item
• Language: English
• 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

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...