Human Activity Recognition : Preliminary Results for Dataset Portability using FMCW Radar
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IEEE
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http://xplorestaging.ieee.org/ielx7/9070011/9078891/09079098.pdf?arnumber=9079098
Cited by 39 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. SRCNN: Stacked-Residual Convolutional Neural Network for Improving Human Activity Classification Based on Micro-Doppler Signatures of FMCW Radar;Journal of Electromagnetic Engineering and Science;2024-07-31
2. FMCW Radar Human Action Recognition Based on Asymmetric Convolutional Residual Blocks;Sensors;2024-07-15
3. Spectral Binning Approach to Classification of Non-Sedentary Human Activity;2024 IEEE MTT-S International Microwave Biomedical Conference (IMBioC);2024-06-11
4. Enhance micro-Doppler signatures-based human activity classification accuracy of FMCW radar using the threshold method;Journal of Military Science and Technology;2024-05-20
5. A Point Cloud-Based Non-Intrusive Approach for Human Posture Classification by Utilizing 77 GHz FMCW Radar and Deep Learning Models;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
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