Real-time Human Activity Classification From Radar With CNN-LSTM Network-Reference-Cited by-同舟云学术

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Real-time Human Activity Classification From Radar With CNN-LSTM Network

Published:2021-08-01 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)
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Author:

Yang Zhengtao,Wang Haili,Ni Peiyuan,Wang Pengfei,Cao Qixin,Fang Lei

Funder

National Key Research and Development Program, People's Republic of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9516033/9516034/09516401.pdf?arnumber=9516401

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RETA: 4D Radar-Based End-to-End Joint Tracking and Activity Estimation for Low-Observable Pedestrian Safety in Cluttered Traffic Scenarios;IEEE Transactions on Intelligent Transportation Systems;2024

2. A holistic human activity recognition optimisation using AI techniques;IET Radar, Sonar & Navigation;2023-09-15

3. Classification of Radar Targets Based on Micro-Doppler Features Using High Frequency High Resolution Radar Signatures;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01

4. The Human Activity Radar Challenge: Benchmarking Based on the ‘Radar Signatures of Human Activities’ Dataset From Glasgow University;IEEE Journal of Biomedical and Health Informatics;2023-04

5. Radar Human Activity Recognition with an Attention-Based Deep Learning Network;Sensors;2023-03-16

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