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This study presents a portable integrated system designed for monitoring the health of automotive drivers using both contact and non-contact sensors to address existing challenges. The contact-based sensors include the MAX30102 for estimating heart rate (HR) and oxygen saturation, a photoplethysmography (PPG) sensor for evaluating heart rate variability (HRV), and a Grove sensor for measuring galvanic skin response (GSR) over time. Additionally, a non-contact thermal camera is employed to estimate core body temperature (CBT). The collected data undergoes comprehensive analysis: the GSR signal is denoised using variational mode decomposition; HRV is computed using peak detection on the PPG data; and parameters such as HR, oxygen saturation, and CBT are estimated via maximum-likelihood estimation. These metrics provide insights into the driver’s physical and mental health. For physical health, a high CBT indicates fever, while HR thresholds help diagnose tachycardia or bradycardia. Oxygen saturation levels below normal indicate hypoxia. Mental health is assessed using the GSR signal, where the ratio of tonic to phasic components determines the driver’s stress level.

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Portable Health Monitor for Car Drivers Through Contact and Non-contact Sensors

  • 会议论文

  • 发表日期：

    2025年

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  • Rahimul I. Mazumdar,
  • Vishakha Chaurasia,
  • Anirban Dasgupta,
  • Parijat Bhowmick

摘要

This study presents a portable integrated system designed for monitoring the health of automotive drivers using both contact and non-contact sensors to address existing challenges. The contact-based sensors include the MAX30102 for estimating heart rate (HR) and oxygen saturation, a photoplethysmography (PPG) sensor for evaluating heart rate variability (HRV), and a Grove sensor for measuring galvanic skin response (GSR) over time. Additionally, a non-contact thermal camera is employed to estimate core body temperature (CBT). The collected data undergoes comprehensive analysis: the GSR signal is denoised using variational mode decomposition; HRV is computed using peak detection on the PPG data; and parameters such as HR, oxygen saturation, and CBT are estimated via maximum-likelihood estimation. These metrics provide insights into the driver’s physical and mental health. For physical health, a high CBT indicates fever, while HR thresholds help diagnose tachycardia or bradycardia. Oxygen saturation levels below normal indicate hypoxia. Mental health is assessed using the GSR signal, where the ratio of tonic to phasic components determines the driver’s stress level.