CMAC-Based Computational Model of Affects (CCMA) from self-organizing feature mapping weights for classification of emotion using EEG signals
Emotion is postulated to be generated at the brain. To capture the brain activities during emotional processing, several neuro-imaging techniques have been adopted, including electroencephalogram (EEG). In the existing studies, different techniques have been employed to extract features from EEG sig...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Society for Computers and Their Applications
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/43494/ http://irep.iium.edu.my/43494/ http://irep.iium.edu.my/43494/4/4_Yaacob%2C_IJCA_Journal_March_2015.pdf |