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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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Brain-Computer Interface Spellers: A Review.

Aya Rezeika1, Mihaly Benda2, Piotr Stawicki3

  • 1Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, 47533 Kleve, Germany. aya.rezeika@hochschule-rhein-waal.de.

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Summary
This summary is machine-generated.

This review categorizes Brain-Computer Interface (BCI) spellers by P300, SSVEP, and motor imagery paradigms. It highlights successful systems since 2010 to aid users and researchers in this communication field.

Keywords:
Brain–Computer Interface (BCI)Graphical User Interface (GUI)MIP300SSVEPhybridspeller

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Brain-Computer Interfaces (BCIs) offer non-muscular communication through brain signals.
  • BCI-spellers represent early and impactful BCI applications, driving field advancements.
  • Existing literature lacks comprehensive reviews of developed BCI-speller systems.

Purpose of the Study:

  • To consolidate and review successful BCI-spellers published since 2010.
  • To categorize spellers based on major BCI paradigms: P300, SSVEP, and motor imagery (MI).
  • To assist researchers and users by presenting an overview of different speller systems.

Main Methods:

  • Systematic review of BCI-speller literature, focusing on systems published since 2010.
  • Categorization of BCI-spellers according to P300, SSVEP, and MI paradigms.
  • Analysis of Graphical User Interfaces (GUIs) and electroencephalogram (EEG) signal features relevant to each paradigm.

Main Results:

  • Identified and categorized various BCI-speller systems based on P300, SSVEP, and MI paradigms.
  • Highlighted key features and successes of spellers developed since 2010, with mentions of older systems.
  • Acknowledged the difficulty of direct objective comparison due to system-specific variables.

Conclusions:

  • This review provides a taxonomy of BCI-spellers, aiding first-time users in system selection.
  • The consolidated information offers insights for BCI researchers to learn from past studies and identify development opportunities.
  • BCI-spellers continue to be a vital area for advancing communication technologies for individuals with disabilities.