Enabling the Evaluation of Driver Physiology Via Vehicle Dynamics
Rodrigo Ordonez-Hurtado, Bo Wen, Nicholas Barra, Ryan Vimba, Sergio, Cabrero-Barros, Sergiy Zhuk, Jeffrey L. Rogers

TL;DR
This paper introduces a vehicle-based system that integrates sensors to assess driver physiology and behavior, aiming to improve road safety and health monitoring through detailed data analysis.
Contribution
It presents a novel configuration combining automotive and health sensors within vehicles to evaluate driver physiology and behavior in real-time.
Findings
Successful integration of automotive and health sensors
Enhanced understanding of driver physiological responses
Potential for early health issue detection
Abstract
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.
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