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...
| Main Authors: | Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2013
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| Subjects: | |
| Online Access: | 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 |
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