Comparison of SVM and ANN for classification of eye events in EEG
Rajesh Singla, Brijil Chambayil, Arun Khosla, Jayashree Santosh
DOI: 10.4236/jbise.2011.41008   PDF    HTML     6,929 Downloads   15,020 Views   Citations


The eye events (eye blink, eyes close and eyes open) are usually considered as biological artifacts in the electroencephalographic (EEG) signal. One can con-trol his or her eye blink by proper training and hence can be used as a control signal in Brain Computer Interface (BCI) applications. Support vector ma-chines (SVM) in recent years proved to be the best classification tool. A comparison of SVM with the Artificial Neural Network (ANN) always provides fruitful results. A one-against-all SVM and a multi-layer ANN is trained to detect the eye events. A com-parison of both is made in this paper.

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Singla, R. , Chambayil, B. , Khosla, A. and Santosh, J. (2011) Comparison of SVM and ANN for classification of eye events in EEG. Journal of Biomedical Science and Engineering, 4, 62-69. doi: 10.4236/jbise.2011.41008.

Conflicts of Interest

The authors declare no conflicts of interest.


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