Identity Authentication in Two-Subject Environments Using Microwave Doppler Radar and Machine Learning Classifiers-Reference-Cited by-同舟云学术

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

Published:2022-11 Issue:11 Volume:70 Page:5063-5076
ISSN:0018-9480
Container-title:IEEE Transactions on Microwave Theory and Techniques
language:
Short-container-title:IEEE Trans. Microwave Theory Techn.

Author:

Islam Shekh M. M.¹^ORCID,Boric-Lubecke Olga¹,Lubecke Victor M.¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Hawaii at Mānoa, Honolulu, HI, USA

Funder

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation

Link

https://ieeexplore.ieee.org/ielam/22/9939118/9864117-aam.pdf

Reference52 articles.

1. Respiratory Feature Extraction for Radar-Based Continuous Identity Authentication

2. Arctangent Demodulation With DC Offset Compensation in Quadrature Doppler Radar Receiver Systems

3. A Review on Recent Advances in Doppler Radar Sensors for Noncontact Healthcare Monitoring

4. Separation of Respiratory Signatures for Multiple Subjects Using Independent Component Analysis with the JADE Algorithm

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