Device-free Movement Tracking using the UWB Channel Impulse Response with Machine Learning
Author:
Affiliation:
1. École Polytechnique Fédérale de Lausanne,Telecommunication Circuits Laboratory,Switzerland
2. Eindhoven University of Technology,the Netherlands
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9833808/9833812/09833950.pdf?arnumber=9833950
Reference23 articles.
1. UWB Indoor Localization Using Deep Learning LSTM Networks
2. SpotFi
3. A Novel Wireless-Netted UWB Life-Detection Radar System for Quasi-Static Person Sensing
4. Device-Free Activity Recognition Using Ultra-Wideband Radios
5. Self-Calibrated UWB based device-free indoor localization and activity detection approach
Cited by 3 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. Advancing Human Activity Recognition Using Ultra-Wideband Channel Impulse Response Snapshots;2024 International Conference on Activity and Behavior Computing (ABC);2024-05-29
2. Band-of-Interest-Based Channel Impulse Response Fusion for Breathing Rate Estimation with UWB;2023 IEEE International Conference on Communications Workshops (ICC Workshops);2023-05-28
3. Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection;IEEE Access;2023
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