Classification of human target movements behind walls using multi-channel range-doppler images
Author:
Funder
Selçuk University Research Foundation
Selçuk Üniversitesi
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/s11042-023-17759-8.pdf
Reference33 articles.
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3. Chen C, Jafari R, Kehtarnavaz N (2014) Improving human action recognition using fusion of depth camera and inertial sensors. IEEE Trans Human-Mach Syst 45(1):51–61
4. Fiorini L et al (2021) Daily gesture recognition during human-robot interaction combining vision and wearable systems. IEEE Sens J 21(20):23568–23577
5. An Q et al (2021) RPCA-based high resolution through-the-wall human motion feature extraction and classification. IEEE Sens J 21(17):19058–19068
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