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Wireless Communications and Mobile Computing
Volume 2018, Article ID 6163475, 15 pages
https://doi.org/10.1155/2018/6163475
Research Article

HuAc: Human Activity Recognition Using Crowdsourced WiFi Signals and Skeleton Data

Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software, Dalian University of Technology, Dalian, China

Correspondence should be addressed to Lei Wang; gro.eeei@gnaw.iel

Received 18 September 2017; Accepted 27 November 2017; Published 11 January 2018

Academic Editor: Kuan Zhang

Copyright © 2018 Linlin Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Linlin Guo, Lei Wang, Jialin Liu, Wei Zhou, and Bingxian Lu, “HuAc: Human Activity Recognition Using Crowdsourced WiFi Signals and Skeleton Data,” Wireless Communications and Mobile Computing, vol. 2018, Article ID 6163475, 15 pages, 2018. https://doi.org/10.1155/2018/6163475.