1.
IEEE Trans Neural Syst Rehabil Eng
; 11(2): 199-204, 2003 Jun.
Artigo
em Inglês
| MEDLINE
| ID: mdl-12899274
RESUMO
We are developing electromyographic and electroencephalographic methods, which draw control signals for human-computer interfaces from the human nervous system. We have made progress in four areas: 1) real-time pattern recognition algorithms for decoding sequences of forearm muscle activity associated with control gestures; 2) signal-processing strategies for computer interfaces using electroencephalogram (EEG) signals; 3) a flexible computation framework for neuroelectric interface research; and d) noncontact sensors, which measure electromyogram or EEG signals without resistive contact to the body.