title: Multimodal neuroelectric interface development.
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.
authors.affiliation: NASA Ames Research Center, Moffett Field, CA 94035, USA. ltrejo@mail.arc.nasa.gov
authors.forename: Leonard J
authors.initials: LJ
authors.lastname: Trejo
authors.forename: Kevin R
authors.initials: KR
authors.lastname: Wheeler
authors.forename: Charles C
authors.initials: CC
authors.lastname: Jorgensen
authors.forename: Roman
authors.initials: R
authors.lastname: Rosipal
authors.forename: Sam T
authors.initials: ST
authors.lastname: Clanton
authors.forename: Bryan
authors.initials: B
authors.lastname: Matthews
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Hibbs
authors.forename: Robert
authors.initials: R
authors.lastname: Matthews
authors.forename: Michael
authors.initials: M
authors.lastname: Krupka
mesh_terms: D000328:Adult; D000401:Aircraft; D000465:Algorithms; D001921:Brain / Q000502:physiology; D003143:Communication Devices for People with Disabilities; D003196:Computer Graphics; D004569:Electroencephalography / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology*; D005385:Fingers / Q000502:physiology; D005542:Forearm / Q000502:physiology; D006801:Humans; D008297:Male; D008875:Middle Aged; D009068:Movement / Q000502:physiology; D014584:User-Computer Interface