Human motion classification using Impulse Radio Ultra Wide Band through-wall RADAR model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14496-w.pdf
Reference40 articles.
1. AlperKılıç İB, Babalık A, Arslan A (2019) Through-Wall radar classification of human posture using convolutional neural networks. Int J Antennas Propag. https://doi.org/10.1155/2019/7541814
2. An Q, Wang S, Zhang W, Lv H, Wang J, Li S, Hoorfar A (2020) RPCA-based high resolution through-the-wall human motion feature extraction and classification. IEEE Sens J 21(17):19058–19068. https://doi.org/10.1109/JSEN.2021.3088122
3. Chakraborti T, McCane B, Mills S, Pal U (2018) LOOP descriptor: local optimal-oriented pattern. IEEE Signal Process Lett 25(5):635-639. https://doi.org/10.1109/LSP.2018.2817176
4. Chang X, Peng L (2021) "Visual sensing human motion detection system for interactive music teaching," Hindawi, Visual Sensing Human Motion Detection System for Interactive Music Teaching
5. Chen L, Li S (2021) Human motion target posture detection algorithm using semi-supervised learning in internet of things. IEEE Access 9:90529-90538. https://doi.org/10.1109/ACCESS.2021.3091430
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