Cited 2 time in webofscience Cited 2 time in scopus

Human Identification by Measuring Respiration Patterns Using Vital FMCW Radar

Title
Human Identification by Measuring Respiration Patterns Using Vital FMCW Radar
Authors
Kim, SangdongKim, BongseokJin, YoungseokLee, Jonghun
DGIST Authors
Kim, Sangdong; Kim, Bongseok; Jin, Youngseok; Lee, Jonghun
Issue Date
2020-10
Citation
Journal of Electromagnetic Engineering and Science, 20(4), 302-306
Type
Article
Article Type
Article
Author Keywords
Non-contact RadarDNNVital FMCW RadarHuman Identification
ISSN
2671-7255
Abstract
This letter proposes a method of human identification that measures respiration patterns using frequency-modulated continuous wave (FMCW) radar. We exploit the fact that respiration signal patterns are unique to each individual, and FMCW radar is employed to obtain the respiration information. Based on the strengths of FMCW radar, the proposed algorithm compensates for the inability to distinguish the respiration signals of multiple users, which are difficult for continuous wave radar to measure. The proposed algorithm also employs a deep neural network algorithm instead of the K-nearest neighbor algorithm that was used in a previous study. The proposed algorithm further improves the performance by using a least mean square filter in the input signal of the DNN. The experimental results show that the proposed human identification method successfully classified four persons. © 2020. The Korean Institute of Electromagnetic Engineering and Science. All Rights Reserved.
URI
http://hdl.handle.net/20.500.11750/12742
DOI
10.26866/jees.2020.20.4.302
Publisher
Korean Institute of Electromagnetic Engineering and Science
Related Researcher
  • Author Lee, Jonghun Advanced Radar Tech. Lab
  • Research Interests Radar, AI, DL/ML, signal processing
Files:
There are no files associated with this item.
Collection:
Division of Automotive Technology1. Journal Articles
Division of Automotive TechnologyAdvanced Radar Tech. Lab1. Journal Articles


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