Details

Autor(en) / Beteiligte

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

Titel

P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface

Ist Teil von

• KI 2009: Advances in Artificial Intelligence, p.339-346

Ort / Verlag

Berlin, Heidelberg: Springer Berlin Heidelberg

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.