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A brain-computer interface test-bench based on EEG signals for research and student training

  • Pawel Raif
  • , Mufti Mahmud
  • , Amir Hussain
  • , Aleksandra Klos-Witkowska
  • , Renata Suchanek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The paper describes a test-bench model for braincomputer interface research based on EEG signals. The test-bench is going to be used for students training and education. The goal is to prepare modern Brain-Computer Interface development environment in order to create interest about this topic among the students.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Pages46-50
Number of pages5
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 1st IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
Duration: 16 Apr 201319 Apr 2013

Publication series

NameProceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Conference

Conference2013 1st IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Country/TerritorySingapore
CitySingapore
Period16/04/1319/04/13

Keywords

  • Bel in research and education
  • Brain-computer interface
  • EEG signals
  • Electroencephalography

ASJC Scopus subject areas

  • Artificial Intelligence
  • Health Informatics
  • Health Information Management

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