CSI-based human sensing using model-based approaches: a survey

Author:

Wang Zhengjie1ORCID,Huang Zehua1,Zhang Chengming1,Dou Wenwen1,Guo Yinjing1,Chen Da1

Affiliation:

1. College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China

Abstract

Abstract Currently, human sensing draws much attention in the field of ubiquitous computing, and human sensing based on WiFi CSI (channel state information) becomes a hot research topic due to the easy deployment and availability of WiFi devices. Although various human sensing applications based on the CSI signal model are emerging, the model-based approach has not been studied thoroughly. This paper provides a comprehensive survey of the latest model-based human sensing methods and their applications. First, the CSI signal and framework of model-based human sensing methods are introduced. Then, related models and fundamental signal preprocessing techniques are described. Next, typical human sensing applications are investigated, and the crucial characteristics are summarized. Finally, the advantages, limitations, and future research trends of model-based human sensing methods are concluded in this paper.

Funder

Shandong University

Tai'shan Scholar Engineering Construction Fund of Shandong Province of China

Key Research and Development Program of Shandong Province

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Engineering (miscellaneous),Modelling and Simulation,Computational Mechanics

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