Features extraction and analysis for device-free human activity recognition based on channel statement information in b5G wireless communications
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Update policy: https://doi.org/10.1007/SPRINGER_CROSSMARK_POLICY
Text and Data Mining valid from 2020-02-05
23 October 2019
16 January 2020
5 February 2020
The authors declare that they have no competing interests.