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Measurements of Physiological Parameters in Flight Simulator Studies for Stress Detection and Analysis Through Deep Learning Applications

Lorrig, Patrick Michael (2023) Measurements of Physiological Parameters in Flight Simulator Studies for Stress Detection and Analysis Through Deep Learning Applications. Master's, Universität Stuttgart.

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Abstract

Measurements of Physiological Parameters in Flight Simulator Studies for Stress Detection and Analysis Through Deep Learning Applications

Item URL in elib:https://elib.dlr.de/195164/
Document Type:Thesis (Master's)
Title:Measurements of Physiological Parameters in Flight Simulator Studies for Stress Detection and Analysis Through Deep Learning Applications
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lorrig, Patrick MichaelUNSPECIFIEDhttps://orcid.org/0009-0008-1685-6213UNSPECIFIED
Date:May 2023
Refereed publication:No
Open Access:No
Status:Published
Keywords:Flight Simulator; Physiological Parameters; Stress Detection
Institution:Universität Stuttgart
Department:Luft- und Raumfahrttechnik
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: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Systemergonomy
Deposited By: Höver, Julia
Deposited On:13 Jun 2023 11:38
Last Modified:04 Nov 2024 10:42

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