Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures-Reference-Cited by-同舟云学术

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Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures

Published:2022 Issue: Volume:60 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Xinyu^ORCID,He Yuan^ORCID,Fioranelli Francesco^ORCID,Jing Xiaojun^ORCID

Funder

National Nature Science Foundation of China

Beijing University of Posts and Telecommunications (BUPT) Excellent Ph.D. Students Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09467531.pdf?arnumber=9467531

Cited by 70 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. Indoor human action recognition based on millimeter-wave radar micro-doppler signature;Measurement;2024-08

2. MF-Match: A Semi-Supervised Model for Human Action Recognition;Sensors;2024-07-30

3. State-of-the-art radar technology for remote human fall detection: a systematic review of techniques, trends, and challenges;Multimedia Tools and Applications;2024-07-22

4. MDST: 2-D Human Pose Estimation for SISO UWB Radar Based on Micro-Doppler Signature via Cascade and Parallel Swin Transformer;IEEE Sensors Journal;2024-07-01

5. SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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