@inbook{4b585e63834842a8b2d1bd16bdc6b8df,
title = "Background on positioning and localization for social distancing",
abstract = "The recent breakout of coronavirus disease (COVID) has been requiring social distancing to mitigate its spread. Social distancing is a simple-but-effective way to reduce the human-to-human transmission of this deadly virus. A distance of at least 1.5 m between any two nearby people is typically required in many places. However, this social distancing requirement is not always respected, especially in space-confined places. Naturally, it is desired to have an autonomous system that can automatically detect the distance between nearby humans and warn people when the distance requirement is violated. To this end, the human positions are often required to be estimated. Thus, positioning and localization are important techniques to facilitate and enforce the social distancing requirement.",
keywords = "Node localization, Wireless, Synchronization, Accuracy, Systems, Toa, Networks, Wifi",
author = "Tran, \{Le Chung\} and Le, \{Anh Tuyen\} and Xiaojing Huang and Phung, \{Son Lam\} and Christian Ritz and Abdesselam Bouzerdoum",
year = "2022",
month = jul,
day = "3",
doi = "10.1049/PBTE104E",
language = "English",
isbn = "978-1-83953-490-4",
volume = "104",
series = "Iet Telecommunications Series",
publisher = "Inst Engineering Tech-Iet",
pages = "23--65",
editor = "DN Nguyen and DT Hoang and TX Vu and E Dutkiewicz and S Chatzinotas and B Ottersten",
booktitle = "Enabling Technologies for Social Distancing",
}