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

Sofien Gannouni; Kais Belwafi; Nourah Alangari; Hatim AboAlsamh; Abdelfettah Belghith

doi:10.3390/s22239159

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

Sofien Gannouni, Kais Belwafi, Nourah Alangari, Hatim AboAlsamh, Abdelfettah Belghith

College of Sciences

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

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.

Original language	British English
Article number	9159
Journal	Sensors (Switzerland)
Volume	22
Issue number	23
DOIs	https://doi.org/10.3390/s22239159
State	Published - Dec 2022

Keywords

brain–computer interface
ensemble classifiers
n-class classification
P300 row/column paradigm
P300 spellers

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/s22239159

Cite this

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title = "Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm",

abstract = "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.",

keywords = "brain–computer interface, ensemble classifiers, n-class classification, P300 row/column paradigm, P300 spellers",

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AU - Belwafi, Kais

AU - Alangari, Nourah

AU - AboAlsamh, Hatim

AU - Belghith, Abdelfettah

N1 - Funding Information: This research work was funded by the National Plan for Science, Technology and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, Kingdom of Saudi Arabia, Award Number (14-INF3139-02). Publisher Copyright: © 2022 by the authors.

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Y1 - 2022/12

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KW - ensemble classifiers

KW - n-class classification

KW - P300 row/column paradigm

KW - P300 spellers

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

Abstract

Keywords

UN SDGs

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