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CSI-based human sensing using model-based approaches: a survey
Journal of Computational Design and Engineering ( IF 4.9 ) Pub Date : 2021-02-16 , DOI: 10.1093/jcde/qwab003
Zhengjie Wang 1 , Zehua Huang 1 , Chengming Zhang 1 , Wenwen Dou 1 , Yinjing Guo 1 , Da Chen 1
Affiliation  

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.


中文翻译:

使用基于模型的方法进行基于CSI的人类感知:一项调查

摘要
当前,人类感应在普适计算领域引起了极大的关注,并且由于WiFi设备的易于部署和可用性,基于WiFi CSI(信道状态信息)的人类感应成为研究的热点。尽管基于CSI信号模型的各种人类传感应用正在兴起,但是基于模型的方法尚未得到充分研究。本文提供了对最新的基于模型的人体感应方法及其应用的全面调查。首先,介绍了CSI信号和基于模型的人类感知方法的框架。然后,描述了相关模型和基本信号预处理技术。接下来,对典型的人类传感应用进行了研究,并总结了其关键特性。最后,优点,局限性,
更新日期:2021-02-16
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