TY  - JOUR
ID  - SisLab4332
UR  - https://ieeexplore.ieee.org/abstract/document/9172058/
A1  - Nguyen, Thanh Cong
A1  - Yuris Mulya, Saputra
A1  - Nguyen, Ngoc Tan
A1  - Tran, Viet Khoa
A1  - Bui, Minh Tuan
A1  - Diep, Nguyen
A1  - Dinh, Thai Hoang
A1  - Vu, Xuan Thang
A1  - Eryk, Dutkiewicz
A1  - Symeon, Chatzinotas
A1  - Bjorn, Ottersten
Y1  - 2020/09/01/
N2  - Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses such as COVID-19. By minimizing the close physical contact among people, we can reduce the chances of catching the virus and spreading it across the community. This two-part paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, artificial intelligence (AI) can enable, encourage, and even enforce social distancing practice. In this Part I, we provide a comprehensive background of social distancing including basic concepts, measurements, models, and propose various practical social distancing scenarios. We then discuss enabling wireless technologies which are especially effectin social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. The companion paper Part II surveys other emerging and related technologies, such as machine learning, computer vision, thermal, ultrasound, etc., and discusses open issues and challenges (e.g., privacypreserving, scheduling, and incentive mechanisms) in implementing social distancing in practice.
PB  - IEEE
JF  - IEEE Access
VL  - 8
SN  - 2169-3536
TI  - A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing?Part I: Fundamentals and Enabling Technologies
SP  - 153479
AV  - public
EP  - 153507
ER  -