P300 detection based on feature extraction in on-line brain-computer interface

Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Johan A.K. Suykens, Refet Firat Yazicioglu, Tom Torfs, Patrick Merken, Herc P. Neves, Chris Van Hoof, Marc M. Van Hulle

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

Samenvatting

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.

Originele taal-2Engels
TitelKI 2009
SubtitelAdvances in Artificial Intelligence - 32nd Annual German Conference on AI, Proceedings
Pagina's339-346
Aantal pagina's8
DOI's
StatusGepubliceerd - 2009
Evenement32nd Annual German Conference on Artificial Intelligence, KI 2009 - Paderborn, Duitsland
Duur: 15 sep. 200918 sep. 2009

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5803 LNAI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres32nd Annual German Conference on Artificial Intelligence, KI 2009
Land/RegioDuitsland
StadPaderborn
Periode15/09/0918/09/09

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