Design of a Multistage Radar-Based Human Fall Detection System
Author:
Affiliation:
1. School of Microscale Optoelectronics, Shenzhen University, Shenzhen, China
2. College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China
Funder
Kongque Technology Innovation Foundation of Shenzhen
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9812846/09780177.pdf?arnumber=9780177
Reference34 articles.
1. Radar-Based Human Activity Recognition With 1-D Dense Attention Network
2. DNN Transfer Learning From Diversified Micro-Doppler for Motion Classification
3. Contactless Fall Detection Using Time-Frequency Analysis and Convolutional Neural Networks
4. Best practices for convolutional neural networks applied to visual document analysis
5. Effects of range spread and aspect angle on radar fall detection
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