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.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.identifier.isbn | 978-3-932182-81-2 | de_DE |
dc.identifier.pissn | 0178-6326 | de_DE |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/5162 | |
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 | Text/Conference Paper | de_DE |
gi.citation.endPage | 214 | |
gi.citation.publisherPlace | Bonn | de_DE |
gi.citation.startPage | 207 | de_DE |
gi.document.quality | digidoc | de_DE |