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19821

A PROPOSED METHOD FOR INCREASE ACCURACY OF CLASSIFICATION P300 SPELLER

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Last updated: 22 Jan 2023

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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.

DOI

10.21608/ijicis.2016.19821

Keywords

Brain Computer Interface (BCI), P300 speller, Accuracy of classification P300

Authors

First Name

A.

Last Name

Khalaf

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Affiliation

Faculty of Computers and Information, Mansoura University, Egypt

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First Name

M.

Last Name

El-Desouky

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Affiliation

Faculty of Computers and Information, Mansoura University, Egypt

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First Name

M.

Last Name

Rashad

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Affiliation

Faculty of Computers and Information, Mansoura University, Egypt

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Volume

16

Article Issue

4

Related Issue

1936

Issue Date

2016-10-01

Receive Date

2018-11-25

Publish Date

2016-10-01

Page Start

1

Page End

18

Print ISSN

1687-109X

Online ISSN

2535-1710

Article File

IJICIS_Volume 16_Issue 4_Pages 1-18.pdf

PDF . 3.7MB

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https://ijicis.journals.ekb.eg/article_19821.html

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https://ijicis.journals.ekb.eg/service?article_code=19821

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Original Article

Type Code

494

Publication Type

Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

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Article

Created At

22 Jan 2023