Extracting features using computational cerebellar model for emotion classification

• Main Authors: Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2013
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/38073/1/Extracting_features_using_computational_cerebellar_model_for_emotion_classification.pdf; http://irep.iium.edu.my/38073/4/38073_Extracting%20features%20using_Scopus.pdf; http://irep.iium.edu.my/38073/; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6836608&tag=1
• Institution: Universiti Islam Antarabangsa Malaysia

Several feature extraction techniques have been employed to extract features from EEG signals for classifying emotions. Such techniques are not constructed based on the understanding of EEG and brain functions, neither inspired by the understanding of emotional dynamics. Hence, the features are diff...