Complex field-based fusion network for human activities classification with radar-Reference-Cited by-同舟云学术

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Complex field-based fusion network for human activities classification with radar

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:IET International Radar Conference (IET IRC 2020)
language:
Short-container-title:

Author:

Guo J.,Shu C.,Zhou Y.,Wang K.,Fioranelli F.,Romain O.,Le Kernec J.

Publisher

Institution of Engineering and Technology

Link

https://digital-library.theiet.org/content/conferences/10.1049/icp.2021.0572?crawler=true&mimetype=application/pdf

Cited by 10 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. Gait‐based human recognition based on millimetre wave multiple input multiple output radar point cloud constructed using velocity‐depth‐time;IET Radar, Sonar & Navigation;2024-05-27

2. Radar‐based human activity recognition using denoising techniques to enhance classification accuracy;IET Radar, Sonar & Navigation;2023-11-08

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

4. 4D radar simulator for human activity recognition;IET Radar, Sonar & Navigation;2023-09-12

5. 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

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