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Development and Implementation of an Adaptive Human-Machine Interface based on Ear Muscle Signals

Tuga, Michele René

Abstract:
Human-machine interfaces act as interpreters. They receive human-generated signals, generate control signals and transfer these to executing devices. This work addresses the need of people living with tetraplegia for operating executing devices. An adaptive head-only human-machine interface receiving and processing ear muscle signals is introduced. Testing persons successfully operated simulations and an electric-powered
wheelchair with the aid of the proposed human-machine interface.

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Volltext §
DOI: 10.5445/IR/1000062936
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Publikationstyp Hochschulschrift
Publikationsjahr 2016
Sprache Englisch
Identifikator urn:nbn:de:swb:90-629364
KITopen-ID: 1000062936
HGF-Programm 47.01.02 (POF III, LK 01) Biol.Netzwerke u.Synth.Regulat. IAI
Verlag Karlsruher Institut für Technologie (KIT)
Umfang XXVII, 240 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Maschinenbau (MACH)
Institut Institut für Angewandte Informatik (IAI)
Prüfungsdaten 22.11.2016
Referent/Betreuer Prof. R. Mikut
Schlagwörter Human-Machine Interface, Adaptation, Ear Muscles, Electromyography
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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