Deep Learning Radar Design for Breathing and Fall Detection
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9056594/08962149.pdf?arnumber=8962149
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1. Unsupervised-Learning-Based Unobtrusive Fall Detection Using FMCW Radar;IEEE Internet of Things Journal;2024-02-01
2. Biomedical Radar System for Real-Time Contactless Fall Detection and Indoor Localization;IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology;2023-12
3. Classification of Marine Traffic Activities Using ES Sensors and A VAE-CapsNet Approach;2023 IEEE International Radar Conference (RADAR);2023-11-06
4. A review of electromagnetic sensing for healthcare applications;AEU - International Journal of Electronics and Communications;2023-11
5. Effective fall detection and post-fall breath rate tracking using a low-cost CW Doppler radar sensor;Computers in Biology and Medicine;2023-09
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