Brain-computer interface research at the Neil Squire Foundation
- 1 June 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Rehabilitation Engineering
- Vol. 8 (2) , 193-195
- https://doi.org/10.1109/86.847813
Abstract
The ultimate goal of the authors' research is to utilize voluntary motor-related potentials recorded from the scalp in a direct Brain Computer Interface for asynchronous control applications. This type of interface will allow an individual with a high-level impairment to have effective and sophisticated control of devices such as wheelchairs, robotic assistive appliances, computers, and neural prostheses.Keywords
This publication has 6 references indexed in Scilit:
- Identification of finger flexions from continuous EEG as a brain computer interfacePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parametersIEEE Transactions on Rehabilitation Engineering, 1998
- Improved single-trial signal extraction of low SNR eventsIEEE Transactions on Signal Processing, 1994
- Single-trial processing of event-related potentials using outlier informationIEEE Transactions on Biomedical Engineering, 1993
- The self-organizing mapProceedings of the IEEE, 1990
- Voluntary finger movement in man: Cerebral potentials and theoryBiological Cybernetics, 1976