Review on support vector machine (SVM) classifier for human emotion pattern recognition from EEG signals
This study reviewed the strategy in pattern classification for human emotion recognition system based on Support Vector Machine (SVM) classifier on Electroencephalography (EEG) signal. SVM has been widely used as a classifier and has been reported as having minimum error and produce accurate classif...
| Main Authors: | Zulkifli, Noor Aishah Atiqah, Md. Ali, Sawal Hamid, Ahmad, Siti Anom, Islam, Md Shabiul |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Medwell Online
2015
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/46176/ http://psasir.upm.edu.my/id/eprint/46176/1/Review%20on%20support%20vector%20machine%20%28SVM%29%20classifier%20for%20human%20emotion%20pattern%20recognition%20from%20EEG%20signals.pdf |
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