Non-Contact In-Car Monitoring of Heart Rate: Evaluating the Eulerian Video Magnification Algorithm in a Driving Simulator Study

  • 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.

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Author:Philipp RennerORCiD, Johanna GleichaufORCiD, Sven WinkelmannORCiD
DOI:https://doi.org/10.1145/3670653.3677493
Parent Title (English):Proceedings of Mensch und Computer 2024
Publisher:ACM
Place of publication:New York, NY, USA
Document Type:conference proceeding (article)
Language:English
Reviewed:Begutachtet/Reviewed
Release Date:2025/02/18
Pagenumber:4
First Page:651
Last Page:654
institutes:Ohm User Experience Center (Ohm-UX)
Research Themes:Digitalisierung & Künstliche Intelligenz
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