Title
Csi-Based Human Sensing Using Model-Based Approaches: A Survey
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.
Year
DOI
Venue
2021
10.1093/jcde/qwab003
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
Keywords
DocType
Volume
channel state information, human sensing, model-based approach, Fresnel model, AoA model, phase calibration
Journal
8
Issue
Citations 
PageRank 
2
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Zhengjie Wang100.34
Zehua Huang200.34
Chengming Zhang353.10
Wenwen Dou445929.03
Yinjing Guo500.34
Da Chen62110.23