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Development of an eye-movement-based machine learning model to detect time-on-task fatigue during simulated control center work

El Hassan, D. (2023) Development of an eye-movement-based machine learning model to detect time-on-task fatigue during simulated control center work. Master's, Technische Hochschule Köln.

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Item URL in elib:https://elib.dlr.de/199463/
Document Type:Thesis (Master's)
Title:Development of an eye-movement-based machine learning model to detect time-on-task fatigue during simulated control center work
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
El Hassan, D.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:fatigue, sleep deprivation, fatigue detection, machine learning, eye tracking
Institution:Technische Hochschule Köln
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Human Factors
Location: Köln-Porz
Institutes and Institutions:Institute of Aerospace Medicine > Sleep and Human Factors Research
Deposited By: Sender, Alina
Deposited On:05 Dec 2023 13:08
Last Modified:05 Dec 2023 13:08

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