A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies
| Autor: | Bui Minh Tuan, Symeon Chatzinotas, Nguyen Van Huynh, Diep N. Nguyen, Yuris Mulya Saputra, Bjorn Ottersten, Cong T. Nguyen, Dinh Thai Hoang, Tran Viet Khoa, Ngoc-Tan Nguyen, Thang X. Vu, Eryk Dutkiewicz |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
General Computer Science Social distancing Emerging technologies Computer science networking privacy-preserving 02 engineering and technology localization Electrical & electronics engineering [C06] [Engineering computing & technology] 0202 electrical engineering electronic engineering information engineering General Materials Science scheduling data analytics Ingénierie électrique & électronique [C06] [Ingénierie informatique & technologie] Science - General 08 Information and Computing Sciences 09 Engineering 10 Technology business.industry Sensors Social distance pandemic 020208 electrical & electronic engineering General Engineering social distancing positioning systems COVID-19 020206 networking & telecommunications Privacy preserving Incentive wireless machine learning AI incentive mechanism business |
| Zdroj: | Ieee Access |
| ISSN: | 2169-3536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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