A PROPOSED METHOD FOR INCREASE ACCURACY OF CLASSIFICATION P300 SPELLER | ||
| International Journal of Intelligent Computing and Information Sciences | ||
| Article 1, Volume 16, Issue 4, October 2016, Pages 1-18 PDF (3.53 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ijicis.2016.19821 | ||
| Authors | ||
| A. Khalaf; M. El-Desouky; M. Rashad | ||
| Faculty of Computers and Information, Mansoura University, Egypt | ||
| Abstract | ||
| A P300 speller is one of applications the brain computer interface (BCI), introduced by Farwell and Donchin in 1988 N. In this paper proposed a new method for increase the accuracy of classification P300 speller. Uses a dataset for (16) healthy subjects. The new method including is feature extraction using Principle Component Analysis (PCA), and the classification using Support Vector Machine Linear (SVML). As it was calculated performance and activity of each electrode whether correlated or uncorrelated of speller task. Show that the proposed method is accurate and efficient. | ||
| Keywords | ||
| Brain Computer Interface (BCI); P300 speller; Accuracy of classification P300 | ||
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