Title: P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface
Authors: Chumerin, Nikolay ×
Manyakov, Nikolay V.
Combaz, Adrien
Yazicioglu, Refet Firat
Suykens, Johan
Torfs, Tom
Merken, Patrick
Neves, Herc P.
Van Hoof, Christiaan
Van Hulle, Marc
Van Hoof, C #
Issue Date: Sep-2009
Publisher: Springer
Host Document: Lecture Notes in Computer Science vol:5803/2009 pages:339-346
Conference: 32nd Annual Conference on Artificial Intelligence location:Paderborn, Germany date:15-18 September 2009
Abstract: We propose a new EEG-based wireless brain computer interface (BCI) with which subjects can “mind-type” text on a computer screen. The application is based on detecting P300 event-related potentials in EEG signals recorded on the scalp of the subject. The BCI uses a simple classifier which relies on a linear feature extraction approach. The accuracy of the presented system is comparable to the state-of-the-art for on-line P300 detection, but with the additional benefit that its much simpler design supports a power-efficient on-chip implementation.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Associated Section of ESAT - INSYS, Integrated Systems
Laboratory for Neuro- and Psychofysiology
Research Group Neurophysiology
× corresponding author
# (joint) last author

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