Enabling the Evaluation of Driver Physiology Via Vehicle Dynamics
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Abstract (arXiv)
Driving is a daily routine for many individuals across the globe. This paper presents the configuration and methodologies used to transform a vehicle into a connected ecosystem capable of assessing driver physiology. We integrated an array of commercial sensors from the automotive and digital health sectors along with driver inputs from the vehicle itself. This amalgamation of sensors allows for meticulous recording of the external conditions and driving maneuvers. These data streams are processed to extract key parameters, providing insights into driver behavior in relation to their external environment and illuminating vital physiological responses. This innovative driver evaluation system holds the potential to amplify road safety. Moreover, when paired with data from conventional health settings, it may enhance early detection of health-related complications.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 27 references that are in the map. First posted on arXiv 8 Sep 2023.
Builds on
10 of 27 references.
References · 10
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- 2021Limitations and Improvements of the Intelligent Driver Model (IDM)cited by 15
- 2022Health Guardian Platform: A technology stack to accelerate discovery in Digital Health researchcited by 1
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