Distinguishing living and non living subjects in a scene based on vital parameter estimation

In this paper, we propose an algorithm to extract vital signals of multiple non stationary human subjects and is further extended to distinguish stationary and non stationary living and non living things in an extreme clutter and multipath environment. The detected vital parameters were compared aga...

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Bibliographic Details
Published in2020 17th European Radar Conference (EuRAD) pp. 53 - 56
Main Authors Rudrappa, Manjunath Thindlu, Herschel, Reinhold, Knott, Peter
Format Conference Proceeding
LanguageEnglish
Published EuMA 10.01.2021
Subjects
CFAR
Clutter
Empirical mode decomposition
Heart beat
Kalman filters
MIMO radar
Parameter estimation
Principal component analysis
Radar
Radar detection
Radar tracking
Vital parameters
Wrist
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Summary:In this paper, we propose an algorithm to extract vital signals of multiple non stationary human subjects and is further extended to distinguish stationary and non stationary living and non living things in an extreme clutter and multipath environment. The detected vital parameters were compared against Pulse oximeter(PULOX PO-300) and Fitbit wrist band and average error of heart beat was found to be less than 1 %.
DOI:10.1109/EuRAD48048.2021.00025