Human Fall Detection Method Using Millimeter-wave Radar Based on RDSNet

Human Fall Detection Method Using Millimeter-wave Radar Based on RDSNet

With the advent of the aging population, fall detection has gradually become a research hotspot. Aiming at the detection of human fall using millimeter-wave radar, a Range-Doppler heat map Sequence detection Network (RDSNet) model that combines the convolutional neural network and long short-term me...

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Bibliographic Details
Main Authors: Zhian YUAN, Xiaoyu ZHOU, Xinpu LIU, Dawei LU, Bin DENG, Yanxin MA
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2021-08-01
Series:Leida xuebao
Subjects:
millimeter-wave radar
fall detection
range doppler
convolutional neural network (cnn)
long short-term memory network (lstm)
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR21015

Internet

https://radars.ac.cn/cn/article/doi/10.12000/JR21015

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