A Novel Potential Drowning Detection System Based on Millimeter-Wave Radar
Author:
Affiliation:
1. Ocean College, Institute of Marine Electronics and Intelligent Systems, Zhejiang University,Zhoushan,China,316021
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004245.pdf?arnumber=10004245
Reference19 articles.
1. Human activity classification with neural network using radar micro-doppler and range signatures
2. A Hybrid CNN–LSTM Network for the Classification of Human Activities Based on Micro-Doppler Radar
3. Radar-Based Human Activity Recognition Using Hybrid Neural Network Model With Multidomain Fusion
4. Micro-Doppler Based Classification of Human Aquatic Activities via Transfer Learning of Convolutional Neural Networks
5. Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks
Cited by 2 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. Drowning Human Detection Using Deep Learning Techniques;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19
2. Sample Intercorrelation-Based Multidomain Fusion Network for Aquatic Human Activity Recognition Using Millimeter-Wave Radar;IEEE Geoscience and Remote Sensing Letters;2023
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