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research article

Asynchronous BCI and Local Neural Classifiers: An Overview of the Adaptive Brain Interface Project

Millán, José del R.  
•
Mouriño, J.
2003
IEEE Transactions on Neural Systems and Rehabilitation Engineering

In this paper we give an overview of our work on an asynchronous BCI (where the subject makes self-paced decisions on when to switch from a mental task to the next) that responds every 1/2 second. A local neural classifier tries to recognize three different mental tasks, but may also respond unknown for uncertain samples as the classifier has incorporated statistical rejection criteria. We report our experience with different subjects (around 15 up to now). We also describe briefly two brain-actuated applications we have developed, namely a virtual keyboard and a mobile robot (similar to a motorized wheelchair).

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Type
research article
DOI
10.1109/TNSRE.2003.814435
Author(s)
Millán, José del R.  
Mouriño, J.
Date Issued

2003

Published in
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume

11

Issue

2

Start page

159

End page

161

Subjects

learning

Note

Special Issue on Brain-Computer Interface Technology

URL

URL

http://publications.idiap.ch/downloads/reports/2003/millan_2003_nsre.pdf
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIDIAP  
Available on Infoscience
March 10, 2006
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/228303
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