Title :
The Wadsworth Center brain-computer interface (BCI) research and development program
Author :
Wolpaw, Jonathan R. ; McFarland, Dennis J. ; Vaughan, Theresa M. ; Schalk, Gerwin
Author_Institution :
New York State Dept. of Health, State Univ. of New York, Albany, NY, USA
fDate :
6/1/2003 12:00:00 AM
Abstract :
Brain-computer interface (BCI) research at the Wadsworth Center has focused primarily on using electroencephalogram (EEG) rhythms recorded from the scalp over sensorimotor cortex to control cursor movement in one or two dimensions. Recent and current studies seek to improve the speed and accuracy of this control by improving the selection of signal features and their translation into device commands, by incorporating additional signal features, and by optimizing the adaptive interaction between the user and system. In addition, to facilitate the evaluation, comparison, and combination of alternative BCI methods, we have developed a general-purpose BCI system called BCI-2000 and have made it available to other research groups. Finally, in collaboration with several other groups, we are developing simple BCI applications and are testing their practicality and long-term value for people with severe motor disabilities.
Keywords :
electroencephalography; handicapped aids; medical signal processing; patient rehabilitation; user interfaces; BCI-2000; Wadsworth Center brain-computer interface research and development program; adaptive interaction optimization; cursor movement control; device commands; mu rhythm; people with severe motor disabilities; scalp recordings; sensorimotor cortex; signal features selection improvement; Adaptive control; Brain computer interfaces; Collaboration; Control systems; Electroencephalography; Programmable control; Research and development; Rhythm; Scalp; Testing; Academic Medical Centers; Adult; Algorithms; Artifacts; Brain; Brain Mapping; Electroencephalography; Evoked Potentials, Visual; Feedback; Humans; Middle Aged; Nervous System Diseases; Research; Research Design; User-Computer Interface; Visual Perception;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2003.814442