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  4. Non-contact in-car monitoring of heart rate: evaluating the eulerian video magnification algorithm in a driving simulator study
 
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Non-contact in-car monitoring of heart rate: evaluating the eulerian video magnification algorithm in a driving simulator study

Citation Link: https://doi.org/10.15480/882.14167
Publikationstyp
Conference Paper
Date Issued
2024-09
Sprache
English
Author(s)
Renner, Philipp  
Gleichauf, Johanna  
Hochfrequenztechnik E-3  
Winkelmann, Sven  
TORE-DOI
10.15480/882.14167
TORE-URI
https://tore.tuhh.de/handle/11420/52809
Start Page
651
End Page
654
Citation
Mensch und Computer, MuC 2024
Contribution to Conference
Mensch und Computer, MuC 2024  
Publisher DOI
10.1145/3670653.3677493
Scopus ID
2-s2.0-85203704849
Publisher
Association for Computing Machinery
ISBN
979-8-4007-0998-2
Peer Reviewed
true
Monitoring drivers' health is crucial for saving lives in emergencies and enabling in-car health applications. The state of the art in pulse monitoring is contact-based sensors which impair the driving experience and have to be applied manually before driving. This paper focuses on automated hyper parameter optimizing the Eulerian Video Magnification (EVM) algorithm, which detects heart rates through non-contact facial camera images, for use in driving scenarios. We conducted a user study where 21 participants performed a driving simulation while their heart rates were recorded by a wearable fitness tracker (serving as ground truth) and facial images with an RGB camera. Our findings indicate that, despite using the optuna library for hyper parameter tuning, the Eulerian Video Magnification algorithm is insufficient for accurate pulse detection in a driving simulator environment.
Subjects
Automotive Health | Driving Simulator | Eulerian Video Magnification | Heart Rate | User Study
DDC Class
006: Special computer methods
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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