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Device-free Human Activity Recognition Based on Random Subspace Classifier Ensemble.

, , and . PIMRC, page 590-591. IEEE, (2018)

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Device-free Human Activity Recognition Based on Random Subspace Classifier Ensemble., , and . PIMRC, page 590-591. IEEE, (2018)Features extraction and analysis for device-free human activity recognition based on channel statement information in b5G wireless communications., , , , , and . EURASIP J. Wireless Comm. and Networking, 2020 (1): 36 (2020)Device-Free Stationary Human Detection with WiFi in Through-the-Wall Scenarios., , , and . WISATS (1), volume 280 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 201-208. Springer, (2019)