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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.

KEYWORDS

ANN; BCI; EEG; Eye Event; Kurtosis; SVM

Cite this paper

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.





Autor: Rajesh Singla, Brijil Chambayil, Arun Khosla, Jayashree Santosh

Fuente: http://www.scirp.org/



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