Identity Authentication in Two-Subject Environments Using Microwave Doppler Radar and Machine Learning Classifiers

Identity authentication based on Doppler radar respiration sensing is gaining attention as it requires neither contact nor line of sight and does not give rise to privacy concerns associated with video imaging. Prior research demonstrating the recognition of individuals has been limited to isolated...

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Vydané v:	IEEE transactions on microwave theory and techniques Ročník 70; číslo 11; s. 5063 - 5076
Hlavní autori:	Islam, Shekh M. M., Boric-Lubecke, Olga, Lubecke, Victor M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Air flow Algorithms Authentication Breathing Classifiers Doppler radar Dynamic segmentation Experiments Feature extraction Heuristic algorithms identity authentication Image segmentation Independent component analysis Internet of Things Machine learning machine learning (ML) classifiers Microwave theory and techniques Mixtures Radar Radar antennas Radar signatures Receivers Respiration RF sensing Support vector machines Triangulation Virtual reality
ISSN:	0018-9480, 1557-9670
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