Multimodal neuroelectric interface development

Trejo, Leonard J.; Wheeler, Kevin R.; Jorgensen, Charles C.; Rosipal, Roman; Clanton, Sam T.; Matthews, Bryan; Hibbs, Andrew D.; Matthews, Robert; Krupka, Michael

NASA NTRS · 20040087573

Multimodal neuroelectric interface development

Trejo, Leonard J.·Wheeler, Kevin R.·Jorgensen, Charles C.·Rosipal, Roman·Clanton, Sam T.·Matthews, Bryan·Hibbs, Andrew D.·Matthews, Robert·Krupka, Michael

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Abstract

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.

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Evaluation Studies Evoked Potentials/physiology Electromyography/methods Electroencephalography/methods Algorithms Human Comparative Study Forearm/physiology Male Communication Aids for Disabled Computer Graphics Brain/physiology Adult Movement/physiology Middle Aged User-Computer Interface Aircraft Fingers/physiology

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Trejo, Leonard J., Wheeler, Kevin R., Jorgensen, Charles C., Rosipal, Roman, Clanton, Sam T., Matthews, Bryan, Hibbs, Andrew D., Matthews, Robert, Krupka, Michael. 2003-06-01. Multimodal neuroelectric interface development. https://ntrs.nasa.gov/citations/20040087573

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