Publications
Scalable Multisubject Vital Sign Monitoring With mmWave FMCW Radar and FPGA Prototyping
Jewel Benny, Narahari N. Moudhgalya, Mujeev Khan, Hemant Kumar Meena, Mohd Wajid, Abhishek Srivastava
IEEE Sensors Journal • 2025
DOI: 10.1109/JSEN.2024.3507951
In this work, we introduce a novel approach to estimate vital signs of multiple human subjects simultaneously in a noncontact way using an FMCW radar-based system. Traditional monitoring methods often suffer from discomfort due to wearables, calibration challenges, and infection risk from contact-based devices. Motivated by the need for versatile, noncontact solutions, this work explores extending such capabilities to an arbitrary number of subjects, considering both hardware and theoretical constraints. We present an FPGA-based implementation as a proof of concept, achieving 2.7× faster execution, 18.4% lower LUT usage, and over 7400× acceleration compared to its software counterpart.
In this work, we introduce a novel approach to estimate vital signs of multiple human subjects simultaneously in a noncontact way using an FMCW radar-based system. Traditional monitoring methods often suffer from discomfort due to wearables, calibration challenges, and infection risk from contact-based devices. Motivated by the need for versatile, noncontact solutions, this work explores extending such capabilities to an arbitrary number of subjects, considering both hardware and theoretical constraints. We present an FPGA-based implementation as a proof of concept, achieving 2.7× faster execution, 18.4% lower LUT usage, and over 7400× acceleration compared to its software counterpart.