Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers-Reference-Cited by-同舟云学术

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Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers

Published:2018-08 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
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Author:

Loukas Charalampos,Fioranelli Francesco,Le Kernec Julien,Yang Shufan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8511011/8511843/08511931.pdf?arnumber=8511931

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. A Dual-Stream CNN-BiLSTM for Human Motion Recognition With Raw Radar Data;IEEE Sensors Journal;2024-08-01

2. Radar Point Cloud Processing Methods for Human Activity Classification With Point Transformer Networks;IEEE Transactions on Radar Systems;2024

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

4. Human Behavior Recognition Using Micro-Doppler Signatures and 2D-CNN-LSTM Network;2023 International Applied Computational Electromagnetics Society Symposium (ACES-China);2023-08-15

5. Spectro-Temporal Modeling for Human Activity Recognition Using a Radar Sensor Network;IEEE Transactions on Geoscience and Remote Sensing;2023

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