@inproceedings{bc19b3e1fe89416ba43230831421c8f1,
title = "Multiple Moving Targets Heartbeat Estimation and Recovery using Multi-Frequency Radars",
abstract = "In this paper, we present a novel non-contact and privacy preserving approach on recovering physiological measurements like heart rate when multiple subjects are slowly walking in the scene using a ultra-wideband (UWB) multi-frequency radar system. We employ joint probabilistic data association (JPDA) algorithm to separate detection from multiple moving objects. Additionally, we exploit a recently developed multi-channel variational mode decomposition (MVMD) algorithm to extract heartbeat information from the range aligned samples. Our contribution lies in demonstration the possibility of a novel signal processing approach on heartbeat detection while multiple human targets are moving on the order of a few meters with a relatively simple setup while prior works requires a more complex setting and only considers small body movement on centimeter levels.",
keywords = "Bio-radars, data association, remote sensing, tracking, vital sign detection",
author = "Yu Rong and Mishra, {Kumar Vijay} and Bliss, {Daniel W.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Radar Conference, RadarConf 2021 ; Conference date: 08-05-2021 Through 14-05-2021",
year = "2021",
month = may,
day = "7",
doi = "10.1109/RadarConf2147009.2021.9455338",
language = "English (US)",
series = "IEEE National Radar Conference - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE Radar Conference",
}