Development of Brain-Computer Interface (BCI) System for Bridging Brain and Computer

S. Kanoh, K. Miyamoto, T. Yoshinobu

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

1 Citation (Scopus)

Abstract

A brain-computer interface (BCI) is a nonmuscular communication channel which allows physically disabled people to re-establish interaction with their surrounding environment. The aim of this system is to detect user's intentions or thoughts from brain activities which are measured as EEG (electroencephalogram) or other non-invasive recording techniques. We have developed the BCI system to detect user's motor imagery from motor-related EEG activities. It was shown that online training with a feedback of EEG band-power on specified frequency range made the accuracy of command detection higher. And we proposed an auditory BCI based on auditory stream segregation, on which users were requested to attend to one of the tone streams and their object of interest was detected from auditory event-related potentials. In this article, the concept and some of our recent researches on BCI are introduced.

Original languageEnglish
Title of host publication13th International Conference on Biomedical Engineering - ICBME 2008
Pages2264-2267
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Event13th International Conference on Biomedical Engineering, ICBME 2008 - , Singapore
Duration: 2008 Dec 32008 Dec 6

Publication series

NameIFMBE Proceedings
Volume23
ISSN (Print)1680-0737

Conference

Conference13th International Conference on Biomedical Engineering, ICBME 2008
CountrySingapore
Period08/12/308/12/6

Keywords

  • EEG
  • auditory stream segregation
  • brain-computer interface
  • feedback training
  • motor imagery

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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  • Cite this

    Kanoh, S., Miyamoto, K., & Yoshinobu, T. (2009). Development of Brain-Computer Interface (BCI) System for Bridging Brain and Computer. In 13th International Conference on Biomedical Engineering - ICBME 2008 (pp. 2264-2267). (IFMBE Proceedings; Vol. 23). https://doi.org/10.1007/978-3-540-92841-6_568