Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm

Acknowledging the importance of the ability to communicate with other people, the researcher community has developed a series of BCI-spellers, with the goal of regaining communication and interaction capabilities with the environment for people with disabilities. In order to bridge the gap in the di...

Full description

Bibliographic Details
Main Authors: Sofien Gannouni, Kais Belwafi, Nourah Alangari, Hatim AboAlsamh, Abdelfettah Belghith
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/23/9159
_version_ 1797462191117434880
author Sofien Gannouni
Kais Belwafi
Nourah Alangari
Hatim AboAlsamh
Abdelfettah Belghith
author_facet Sofien Gannouni
Kais Belwafi
Nourah Alangari
Hatim AboAlsamh
Abdelfettah Belghith
author_sort Sofien Gannouni
collection DOAJ
description Acknowledging the importance of the ability to communicate with other people, the researcher community has developed a series of BCI-spellers, with the goal of regaining communication and interaction capabilities with the environment for people with disabilities. In order to bridge the gap in the digital divide between the disabled and the non-disabled people, we believe that the development of efficient signal processing algorithms and strategies will go a long way towards achieving novel assistive technologies using new human–computer interfaces. In this paper, we present various classification strategies that would be adopted by P300 spellers adopting the row/column paradigm. The presented strategies have obtained high accuracy rates compared with existent similar research works.
first_indexed 2024-03-09T17:32:59Z
format Article
id doaj.art-8c76eb636bf84b7d891360efa7a16e79
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-03-09T17:32:59Z
publishDate 2022-11-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-8c76eb636bf84b7d891360efa7a16e792023-11-24T12:09:29ZengMDPI AGSensors1424-82202022-11-012223915910.3390/s22239159Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column ParadigmSofien Gannouni0Kais Belwafi1Nourah Alangari2Hatim AboAlsamh3Abdelfettah Belghith4Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaAcknowledging the importance of the ability to communicate with other people, the researcher community has developed a series of BCI-spellers, with the goal of regaining communication and interaction capabilities with the environment for people with disabilities. In order to bridge the gap in the digital divide between the disabled and the non-disabled people, we believe that the development of efficient signal processing algorithms and strategies will go a long way towards achieving novel assistive technologies using new human–computer interfaces. In this paper, we present various classification strategies that would be adopted by P300 spellers adopting the row/column paradigm. The presented strategies have obtained high accuracy rates compared with existent similar research works.https://www.mdpi.com/1424-8220/22/23/9159brain–computer interfaceP300 spellersP300 row/column paradigmn-class classificationensemble classifiers
spellingShingle Sofien Gannouni
Kais Belwafi
Nourah Alangari
Hatim AboAlsamh
Abdelfettah Belghith
Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm
Sensors
brain–computer interface
P300 spellers
P300 row/column paradigm
n-class classification
ensemble classifiers
title Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm
title_full Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm
title_fullStr Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm
title_full_unstemmed Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm
title_short Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm
title_sort classification strategies for p300 based bci spellers adopting the row column paradigm
topic brain–computer interface
P300 spellers
P300 row/column paradigm
n-class classification
ensemble classifiers
url https://www.mdpi.com/1424-8220/22/23/9159
work_keys_str_mv AT sofiengannouni classificationstrategiesforp300basedbcispellersadoptingtherowcolumnparadigm
AT kaisbelwafi classificationstrategiesforp300basedbcispellersadoptingtherowcolumnparadigm
AT nourahalangari classificationstrategiesforp300basedbcispellersadoptingtherowcolumnparadigm
AT hatimaboalsamh classificationstrategiesforp300basedbcispellersadoptingtherowcolumnparadigm
AT abdelfettahbelghith classificationstrategiesforp300basedbcispellersadoptingtherowcolumnparadigm