Domain Adaptation Across Configurations of FMCW Radar for Deep Learning Based Human Activity Classification
Author:
Affiliation:
1. Fraunhofer Heinrich Hertz Institute (HHI),Berlin,GERMANY
2. Infineon Technologies AG,Neubiberg,GERMANY
Funder
NVIDIA Corporation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9466145/9466146/09466179.pdf?arnumber=9466179
Cited by 5 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. Cross-domain Behavior Recognition Based on Millimeter-wave Radar;APSIPA Transactions on Signal and Information Processing;2024
2. Data-driven Spatial Super-Resolution for FMCW mmWave Sensing Systems;2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON);2023-09-11
3. Domain Adaptation;Methods and Techniques in Deep Learning;2022-11-18
4. Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29
5. Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation;Sensors;2022-02-16
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