Applying Brain Machine Interfaces to Aircraft Control: Potentials and Challenges

dc.contributor.author	Fricke, Tim	de_DE
dc.contributor.author	Holzapfel, Florian	de_DE
dc.contributor.editor	Grandt, M.	de_DE
dc.contributor.editor	Schmerwitz, S.	de_DE
dc.date.accessioned	2017-11-15T15:26:25Z
dc.date.available	2017-11-15T15:26:25Z
dc.date.issued	2014
dc.identifier.isbn	978-3-932182-81-2	de_DE
dc.identifier.issn	0178-6326	de_DE
dc.identifier.uri	http://dl.gi.de/handle/20.500.12116/5162
dc.description.abstract	Brain machine interfaces (BMI) have already successfully been used in laboratory control tasks. A next important step is to apply them in an operational context. A European research project investigates brain controlled aircraft flight, where manual incep	de_DE
dc.publisher	Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Obert e.V.	de_DE
dc.relation.ispartof	56. Fachausschusssitzung Anthropotechnik der DGLR: Der Mensch zwischen Automatisierung, Kompetenz und Verantwortung	de_DE
dc.relation.ispartofseries	DGLR-Bericht (2014-01)	de_DE
dc.subject	Anthropotechnik	de_DE
dc.title	Applying Brain Machine Interfaces to Aircraft Control: Potentials and Challenges	de_DE
dc.type	research-article	de_DE
dc.pubPlace	Bonn	de_DE
mci.document.quality	digidoc	de_DE
mci.reference.pages	207-214	de_DE