Extracting features using computational cerebellar model for emotion classification

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...

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Bibliographic Details
Main Authors: Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda
Format: Conference or Workshop Item
Language:English
English
Published: 2013
Subjects:
Online Access:http://irep.iium.edu.my/38073/
http://irep.iium.edu.my/38073/
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