Nguyen Cong T, Saputra Yuris Mulya, Huynh Nguyen Van, Nguyen Ngoc-Tan, Khoa Tran Viet, Tuan Bui Minh, Nguyen Diep N, Hoang Dinh Thai, Vu Thang X, Dutkiewicz Eryk, Chatzinotas Symeon, Ottersten Bjorn
Department of Computer Science and EngineeringHo Chi Minh City University of Technology Ho Chi MInh City 700000 Vietnam.
Department of Computer Science and EngineeringVietnam National University-Ho Chi Minh City Ho Chi MInh City 700000 Vietnam.
IEEE Access. 2020 Aug 20;8:153479-153507. doi: 10.1109/ACCESS.2020.3018140. eCollection 2020.
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.
社交距离在预防 COVID - 19 等病毒性疾病传播中起着关键作用。通过尽量减少人与人之间的密切身体接触，我们可以降低感染病毒并在社区传播的几率。这篇分为两部分的论文旨在全面综述新兴技术，如无线与网络、人工智能（AI）如何促进、鼓励甚至强制社交距离的实施。在第一部分中，我们提供社交距离的全面背景，包括基本概念、测量方法、模型，并提出各种实际的社交距离场景。然后我们讨论在社交距离方面特别有效的无线技术，例如症状预测、对隔离人员的检测和监测以及接触者追踪。配套论文第二部分综述其他新兴及相关技术，如机器学习、计算机视觉、热成像、超声等，并讨论在实际实施社交距离时的开放问题和挑战（例如隐私保护、调度和激励机制）。
