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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 270101.0, MPI für biologische Kybernetik / Biologische Kybernetik
An Auditory Paradigm for Brain--Computer Interfaces
Authors:Hill, N.J.; Lal, T.N.; Bierig, K.; Birbaumer, N.; Schölkopf, B.
Editors:Saul, L.K.; Weiss, Y.; Bottou, L.
Date of Publication (YYYY-MM-DD):2005
Title of Proceedings:Advances in Neural Information Processing Systems
Start Page:569
End Page:576
Physical Description:8
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:Motivated by the particular problems involved in communicating with "locked-in" paralysed patients, we aim to develop a brain-computer interface that uses auditory stimuli. We describe a paradigm that allows a user to make a binary decision by focusing attention on one of two concurrent auditory stimulus sequences. Using Support Vector Machine classification and Recursive Channel Elimination on the independent components of averaged event-related potentials, we show that an untrained user's EEG data can be classified with an encouragingly high level of accuracy. This suggests that it is possible for users to modulate EEG signals in a single trial by the conscious direction of attention, well enough to be useful in BCI.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:2794
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