A Noncontact Cardiorespiratory Monitoring System for Drivers Using Millimeter Wave Radar With Phase Continuity Tracking and Signal Quality Index

Road safety remains a critical challenge, with human errors, such as drowsiness and distraction as contributing factors. Physiological indicators, such as heart rate (HR) and respiratory rate (RR), provide insights into understanding the driver state but are difficult to acquire in real-world driving scenarios due to the constantly changing driver pose and complex ambient environment. To tackle this challenge, a noncontact cardiorespiratory monitoring system using frequency modulated continuous wave (FMCW) radar is proposed. Unlike optical or acoustic systems, the use of radar can minimize interference from the ambient environment. However, its relatively low spatial resolution, driver motion, and variability in human radar cross section (RCS) present significant signal processing challenges, especially for target tracking. To address these issues, a novel target tracking algorithm and a reference-free signal quality index (SQI) based on phase continuity are proposed, aimed at significantly improving the consistency and reliability of target tracking and overall signal quality. A performance evaluation using a driving simulator and synchronized electrocardiography (ECG) recordings for ground truth demonstrates that our proposed method achieves a mean absolute error (MAE) of 1.65 beats per minute (BPM) for HR, 0.79 respirations per minute (RPM) for RR, and a relative accuracy of 97.83% and 95.06%, respectively. These results highlight the potential of the proposed system to enhance driver monitoring by providing accurate and continuous HR and RR measurement, contributing to the early detection of adverse driver states.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-01-01
DOI
https://doi.org/10.1109/jiot.2025.3597392
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

A Noncontact Cardiorespiratory Monitoring System for Drivers Using Millimeter Wave Radar With Phase Continuity Tracking and Signal Quality Index

Gengqian Yang, A.N. Evans, Benjamin Metcalfe, Robert J. Watson
IEEE Internet of Things Journal
Non-Invasive Vital Sign Monitoring
article

A Noncontact Cardiorespiratory Monitoring System for Drivers Using Millimeter Wave Radar With Phase Continuity Tracking and Signal Quality Index

Gengqian Yang, A.N. Evans, Benjamin Metcalfe, Robert J. Watson
article en

Abstract

Road safety remains a critical challenge, with human errors, such as drowsiness and distraction as contributing factors. Physiological indicators, such as heart rate (HR) and respiratory rate (RR), provide insights into understanding the driver state but are difficult to acquire in real-world driving scenarios due to the constantly changing driver pose and complex ambient environment. To tackle this challenge, a noncontact cardiorespiratory monitoring system using frequency modulated continuous wave (FMCW) radar is proposed. Unlike optical or acoustic systems, the use of radar can minimize interference from the ambient environment. However, its relatively low spatial resolution, driver motion, and variability in human radar cross section (RCS) present significant signal processing challenges, especially for target tracking. To address these issues, a novel target tracking algorithm and a reference-free signal quality index (SQI) based on phase continuity are proposed, aimed at significantly improving the consistency and reliability of target tracking and overall signal quality. A performance evaluation using a driving simulator and synchronized electrocardiography (ECG) recordings for ground truth demonstrates that our proposed method achieves a mean absolute error (MAE) of 1.65 beats per minute (BPM) for HR, 0.79 respirations per minute (RPM) for RR, and a relative accuracy of 97.83% and 95.06%, respectively. These results highlight the potential of the proposed system to enhance driver monitoring by providing accurate and continuous HR and RR measurement, contributing to the early detection of adverse driver states.

IEEE Internet of Things Journal
University of Bath (GB)
Climate action
Openalex Percentile: Top 81%
Non-Invasive Vital Sign Monitoring
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A Noncontact Cardiorespiratory Monitoring System for Drivers Using Millimeter Wave Radar With Phase Continuity Tracking and Signal Quality Index — Gengqian Yang, A.N. Evans, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS