Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems
Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems
Brain–computer interface (BCI) technology relies on the ability of individuals to voluntarily and reliably produce changes in their electroencephalographic (EEG) activity. The present paper reviews research on cognitive tasks and other methods of generating and controlling specific changes in EEG activity that can be used to drive BCI systems. To date, motor imagery has been the most commonly used task. This paper explores the possibility that other cognitive tasks, including those used in imaging studies, may prove to be more effective. Other factors which influence performance are also considered in relation to selection of tasks, as well as training of subjects.
326-336
Curran, E.A.
d928b228-5c3a-41a2-a7a6-2b04e9f73a0a
Stokes, M.J.
71730503-70ce-4e67-b7ea-a3e54579717f
April 2003
Curran, E.A.
d928b228-5c3a-41a2-a7a6-2b04e9f73a0a
Stokes, M.J.
71730503-70ce-4e67-b7ea-a3e54579717f
Curran, E.A. and Stokes, M.J.
(2003)
Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems.
Brain & Cognition, 51 (3), .
(doi:10.1016/S0278-2626(03)00036-8).
Abstract
Brain–computer interface (BCI) technology relies on the ability of individuals to voluntarily and reliably produce changes in their electroencephalographic (EEG) activity. The present paper reviews research on cognitive tasks and other methods of generating and controlling specific changes in EEG activity that can be used to drive BCI systems. To date, motor imagery has been the most commonly used task. This paper explores the possibility that other cognitive tasks, including those used in imaging studies, may prove to be more effective. Other factors which influence performance are also considered in relation to selection of tasks, as well as training of subjects.
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Published date: April 2003
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Local EPrints ID: 55254
URI: http://eprints.soton.ac.uk/id/eprint/55254
ISSN: 0278-2626
PURE UUID: f7355577-a542-4fa5-a3ee-0d08f5ab887a
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Date deposited: 30 Jul 2008
Last modified: 16 Mar 2024 03:30
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E.A. Curran
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