Fall Feature Enhancement and Fusion Using the Stockwell Transform With Dual mmWave Radars
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore
2. Guangzhou Institute of Technology, Xidian University, Xi’an, China
Funder
National Research Foundation, Singapore, under its Artificial Intelligence (AI) Singapore Program under AISG
Shaanxi Key Research and Development Plan Key Industry Innovation Chain Project
China College Innovation Fund of Production, Education and Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10017147/09969622.pdf?arnumber=9969622
Reference31 articles.
1. Health Secure Radar: Use of Micro Doppler Signatures for Health Care and Security Applications
2. Placement selection of millimeter wave FMCW radar for indoor fall detection
3. Radar‐based fall detection based on Doppler time–frequency signatures for assisted living
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