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

• Published in: IEEE transactions on microwave theory and techniques Vol. 70; no. 11; pp. 5063 - 5076
• Main Authors: Islam, Shekh M. M., Boric-Lubecke, Olga, Lubecke, Victor M.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...