TY - GEN
T1 - Development of Brain-Computer Interface (BCI) System for Bridging Brain and Computer
AU - Kanoh, S.
AU - Miyamoto, K.
AU - Yoshinobu, T.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - auditory stream segregation
KW - brain-computer interface
KW - EEG
KW - feedback training
KW - motor imagery
UR - http://www.scopus.com/inward/record.url?scp=80053986020&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-92841-6_568
DO - 10.1007/978-3-540-92841-6_568
M3 - Conference contribution
AN - SCOPUS:80053986020
SN - 9783540928409
T3 - IFMBE Proceedings
SP - 2264
EP - 2267
BT - 13th International Conference on Biomedical Engineering - ICBME 2008
T2 - 13th International Conference on Biomedical Engineering, ICBME 2008
Y2 - 3 December 2008 through 6 December 2008
ER -