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A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing-Part II: Emerging Technologies and Open Issues.
Nguyen, Cong T; Saputra, Yuris Mulya; Van Huynh, Nguyen; Nguyen, Ngoc-Tan; Khoa, Tran Viet; Tuan, Bui Minh; Nguyen, Diep N; Hoang, Dinh Thai; Vu, Thang X; Dutkiewicz, Eryk; Chatzinotas, Symeon; Ottersten, Bjorn.
  • Nguyen CT; Department of Computer Science and EngineeringHo Chi Minh City University of Technology Ho Chi Minh City 700000 Vietnam.
  • Saputra YM; Department of Computer Science and EngineeringVietnam National University-Ho Chi Minh City Ho Chi Minh City 700000 Vietnam.
  • Van Huynh N; School of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
  • Nguyen NT; Department of Electrical Engineering and InformaticsVocational CollegeUniversitas Gadjah Mada Yogyakarta 55281 Indonesia.
  • Khoa TV; School of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
  • Tuan BM; School of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
  • Nguyen DN; VNU University of Engineering and Technology, Vietnam National University Hanoi 711000 Vietnam.
  • Hoang DT; VNU University of Engineering and Technology, Vietnam National University Hanoi 711000 Vietnam.
  • Vu TX; VNU University of Engineering and Technology, Vietnam National University Hanoi 711000 Vietnam.
  • Dutkiewicz E; School of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
  • Chatzinotas S; School of Electrical and Data EngineeringUniversity of Technology Sydney Sydney NSW 2007 Australia.
  • Ottersten B; Interdisciplinary Centre for Security, Reliability and TrustUniversity of Luxembourg 4365 Luxembourg City Luxembourg.
IEEE Access ; 8: 154209-154236, 2020.
Article in English | MEDLINE | ID: covidwho-1528282
ABSTRACT
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 Part I, an extensive background of social distancing is provided, and enabling wireless technologies are thoroughly surveyed. In this Part II, emerging technologies such as machine learning, computer vision, thermal, ultrasound, etc., are introduced. These technologies open many new solutions and directions to deal with problems in social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. Finally, we discuss open issues and challenges (e.g., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice. As an example, instead of reacting with ad-hoc responses to COVID-19-like pandemics in the future, smart infrastructures (e.g., next-generation wireless systems like 6G, smart home/building, smart city, intelligent transportation systems) should incorporate a pandemic mode in their standard architectures/designs.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: IEEE Access Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: IEEE Access Year: 2020 Document Type: Article