title: Optimizing the P300-based brain-computer interface: current status, limitations and future directions.
abstract: This paper summarizes the presentations and discussions at a workshop held during the Fourth International BCI Meeting charged with reviewing and evaluating the current state, limitations and future development of P300-based brain-computer interface (P300-BCI) systems. We reviewed such issues as potential users, recording methods, stimulus presentation paradigms, feature extraction and classification algorithms, and applications. A summary of the discussions and the panel's recommendations for each of these aspects are presented.
authors: Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, New York, NY, USA. joe.mak@ieee.org
authors: J N
authors: JN
authors: Mak
authors: Y
authors: Y
authors: Arbel
authors: J W
authors: JW
authors: Minett
authors: L M
authors: LM
authors: McCane
authors: B
authors: B
authors: Yuksel
authors: D
authors: D
authors: Ryan
authors: D
authors: D
authors: Thompson
authors: L
authors: L
authors: Bianchi
authors: D
authors: D
authors: Erdogmus
mesh_terms: D001676:Biofeedback, Psychology / Q000379:methods*; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000639:trends*; D004569:Electroencephalography / Q000639:trends*; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D005544:Forecasting; D006801:Humans; D008328:Man-Machine Systems; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface