A PROPOSED METHOD FOR INCREASE ACCURACY OF CLASSIFICATION P300 SPELLER

Khalaf, A. and El-Desouky, M. and Rashad, M. (2016) A PROPOSED METHOD FOR INCREASE ACCURACY OF CLASSIFICATION P300 SPELLER. International Journal of Intelligent Computing and Information Sciences, 16 (4). pp. 1-18. ISSN 2535-1710

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Official URL: https://doi.org/10.21608/ijicis.2016.19821

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

Item Type:	Article
Subjects:	West Bengal Archive > Computer Science
Depositing User:	Unnamed user with email support@westbengalarchive.com
Date Deposited:	28 Jun 2023 05:01
Last Modified:	17 Jun 2024 07:01
URI:	http://article.stmacademicwriting.com/id/eprint/1149

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