Design and evaluation of a P300 visual brain-computer interface speller in cyrillic characters

Arailym Zhumadilova, Dana Tokmurzina, Akbay Kuderbekov, Berdakh Abibullaev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A visual Brain-Computer Interface (BCI) speller is a system which assists disabled persons with severe neu-romuscular diseases to communicate with the external world. It acquires brain signals in response to visual stimuli shown to the person on a screen, and then analyzes in real-time to predict the desired symbol on a single trial basis. To date most BCI design paradigms have been focused on the development of a speller to communicate English or Latin based languages. Due to a lack of BCI spellers for patients speaking Cyrillic-based languages, this study presents the initial design and evaluation of a speller that contains Cyrillic alphanumeric characters. The visual BCI speller was evaluated on five healthy subjects, who showed encouraging results during both the offline training phases, as well as during the real-time BCI spelling experiments. We discuss each steps of the design in detail and share the challenges and limitation of such design approaches with possible solutions.

Original languageEnglish
Title of host publicationRO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1006-1011
Number of pages6
Volume2017-January
ISBN (Electronic)9781538635186
DOIs
Publication statusPublished - Dec 8 2017
Event26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal
Duration: Aug 28 2017Sep 1 2017

Conference

Conference26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017
CountryPortugal
CityLisbon
Period8/28/179/1/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Control and Optimization

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