The wadsworth BCI research and development program: at home with BCI

The ultimate goal of brain-computer interface (BCI) technology is to provide communication and control capacities to people with severe motor disabilities. BCI research at the Wadsworth Center focuses primarily on noninvasive, electroencephalography (EEG)-based BCI methods. We have shown that people...

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Published inIEEE transactions on neural systems and rehabilitation engineering Vol. 14; no. 2; pp. 229 - 233
Main Authors Vaughan, T.M., McFarland, D.J., Schalk, G., Sarnacki, W.A., Krusienski, D.J., Sellers, E.W., Wolpaw, J.R.
Format Journal Article
LanguageEnglish
Published United States IEEE 01.06.2006
Subjects
Animals
Augmentative communication
Bandwidth
Brain - physiopathology
Brain computer interfaces
brain-computer interface (BCI)
Communication system control
conditioning
Electroencephalography
electroencephalography (EEG)
Electroencephalography - methods
Evoked Potentials
Hardware
Humans
Laboratories
mu rhythm
Neuromuscular Diseases - physiopathology
Neuromuscular Diseases - rehabilitation
New York
P300
rehabilitation
Research and development
Research Design
Rhythm
sensorimotor cortex
Software prototyping
Software systems
Switzerland
Therapy, Computer-Assisted - methods
Universities
User-Computer Interface
New York
Switzerland
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Summary:The ultimate goal of brain-computer interface (BCI) technology is to provide communication and control capacities to people with severe motor disabilities. BCI research at the Wadsworth Center focuses primarily on noninvasive, electroencephalography (EEG)-based BCI methods. We have shown that people, including those with severe motor disabilities, can learn to use sensorimotor rhythms (SMRs) to move a cursor rapidly and accurately in one or two dimensions. We have also improved P300-based BCI operation. We are now translating this laboratory-proven BCI technology into a system that can be used by severely disabled people in their homes with minimal ongoing technical oversight. To accomplish this, we have: improved our general-purpose BCI software (BCI2000); improved online adaptation and feature translation for SMR-based BCI operation; improved the accuracy and bandwidth of P300-based BCI operation; reduced the complexity of system hardware and software and begun to evaluate home system use in appropriate users. These developments have resulted in prototype systems for every day use in people's homes.
ISSN:1534-4320
1558-0210
DOI:10.1109/TNSRE.2006.875577