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

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

    Research output: Contribution to journalArticlepeer-review

    1 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 languageBritish English
    Article number9159
    JournalSensors (Switzerland)
    Volume22
    Issue number23
    DOIs
    StatePublished - Dec 2022

    Keywords

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

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