A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing - Part I: Fundamentals and Enabling Technologies
Cong T. Nguyen,Yuris Mulya Saputra,Nguyen Van Huynh,Ngoc-Tan Nguyen,Tran Viet Khoa,Bui Minh Tuan,Diep N. Nguyen,Dinh Thai Hoang,Thang X. Vu,Eryk Dutkiewicz,Symeon Chatzinotas,Bjorn Ottersten +11 more
TLDR
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.Abstract:
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 effect- in 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., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice.read more
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ReportDOI
Response to FCC 98-208 notice of inquiry in the matter of revision of part 15 of the commission's rules regarding ultra-wideband transmission systems
TL;DR: In this article, the authors consider the unique features of UWB technology and propose that the FCC should consider them in considering changes to Part 15 and take into account their unique features for radar and communications uses.
Journal ArticleDOI
A deep learning-based social distance monitoring framework for COVID-19.
TL;DR: Findings indicate that the developed framework successfully distinguishes individuals who walk too near and breaches/violates social distances; also, the transfer learning approach boosts the overall efficiency of the model.
Journal ArticleDOI
IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution
Musa Ndiaye,Stephen S. Oyewobi,Adnan M. Abu-Mahfouz,Gerhard P. Hancke,Anish Mathew Kurien,Karim Djouani +5 more
TL;DR: An up to date survey on how a global pandemic such as COVID-19 has affected the world of IoT technologies and the contributions that IoT and associated sensor technologies have made towards virus tracing, tracking and spread mitigation is provided.
Posted Content
A Vision-based Social Distancing and Critical Density Detection System for COVID-19
TL;DR: An active surveillance system to slow the spread of COVID-19 by warning individuals in a region-of-interest by defining a novel critical social density value and showing that the chance of SD violation occurrence can be held near zero if the pedestrian density is kept under this value.
Journal ArticleDOI
A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak
TL;DR: In this paper, the authors reviewed the functionalities and effectiveness of the free mobile health applications available in the Google Play and App stores used in Saudi Arabia, Italy, Singapore, United Kingdom, USA, and India during the COVID-19 outbreak.
References
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