Schönherr, T. (2018) Automatische Klassifizierung von Müdigkeit auf Basis von Eyetracking-Daten. Master's, RWTH Aachen.
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Item URL in elib: | https://elib.dlr.de/136230/ | ||||||
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Document Type: | Thesis (Master's) | ||||||
Title: | Automatische Klassifizierung von Müdigkeit auf Basis von Eyetracking-Daten | ||||||
Authors: |
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Date: | 2018 | ||||||
Refereed publication: | Yes | ||||||
Open Access: | No | ||||||
Gold Open Access: | No | ||||||
In SCOPUS: | No | ||||||
In ISI Web of Science: | No | ||||||
Status: | Unpublished | ||||||
Keywords: | performance, visual attention, sleep deprivation, eye-tracking, machine learning | ||||||
Institution: | RWTH Aachen | ||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||
HGF - Program: | Aeronautics | ||||||
HGF - Program Themes: | air traffic management and operations | ||||||
DLR - Research area: | Aeronautics | ||||||
DLR - Program: | L AO - Air Traffic Management and Operation | ||||||
DLR - Research theme (Project): | L - Human factors and safety in Aeronautics (old) | ||||||
Location: | Köln-Porz | ||||||
Institutes and Institutions: | Institute of Aerospace Medicine > Sleep and Human Factors Research | ||||||
Deposited By: | Sender, Alina | ||||||
Deposited On: | 29 Sep 2020 10:03 | ||||||
Last Modified: | 29 Sep 2020 10:03 |
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