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...
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格式: | Article |
语言: | English |
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International Society for Computers and Their Applications
2015
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在线阅读: | http://irep.iium.edu.my/43494/4/4_Yaacob%2C_IJCA_Journal_March_2015.pdf http://irep.iium.edu.my/43494/ http://www.isca-hq.org/journal.htm |
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