CSI-based human sensing using model-based approaches: a survey. Issue 2 (16th February 2021)

• Record Type: Journal Article
• Authors: Wang, Zhengjie; Huang, Zehua; Zhang, Chengming; Dou, Wenwen; Guo, Yinjing; Chen, Da
• Is Part Of: Journal of computational design and engineering. Volume 8:Issue 2(2021)
• Page Start: 510
• Page End: 523
• Publication Date: 2021-02-16
• Subjects: channel state information -- human sensing -- model-based approach -- Fresnel model -- AoA model -- phase calibration; Engineering -- Data processing -- Periodicals; Computer-aided design -- Periodicals; Computer-aided design; Engineering -- Data processing; Electronic journals; Electronic journals; Periodicals; 620.0042
• DOI: 10.1093/jcde/qwab003
• Languages: English
• ISSNs: 2288-4300

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. Graphical Abstract: