Institute of Informatics and Computing in Energy, University Tenaga Nasional, Kajang 43000, Malaysia.
Department of Network, Parallel & Distributed Computing, University Putra Malaysia, Seri Kembangan 43400, Malaysia.
Sensors (Basel). 2022 Mar 17;22(6):2313. doi: 10.3390/s22062313.
This research aims to provide a comprehensive background on social distancing as well as effective technologies that can be used to facilitate the social distancing practice. Scenarios of enabling wireless and emerging technologies are presented, which are especially effective in monitoring and keeping distance amongst people. In addition, detailed taxonomy is proposed summarizing the essential elements such as implementation type, scenarios, and technology being used. This research reviews and analyzes existing social distancing studies that focus on employing different kinds of technologies to fight the Coronavirus disease (COVID-19) pandemic. This study main goal is to identify and discuss the issues, challenges, weaknesses and limitations found in the existing models and/or systems to provide a clear understanding of the area. Articles were systematically collected and filtered based on certain criteria and within ten years span. The findings of this study will support future researchers and developers to solve specific issues and challenges, fill research gaps, and improve social distancing systems to fight pandemics similar to COVID-19.
本研究旨在提供社交距离的全面背景以及可用于促进社交距离实践的有效技术。提出了启用无线和新兴技术的场景,这些场景在监测和保持人与人之间的距离方面特别有效。此外,还提出了详细的分类法,总结了实施类型、场景和使用的技术等基本要素。本研究回顾和分析了现有的社交距离研究,这些研究侧重于使用各种技术来对抗冠状病毒病(COVID-19)大流行。本研究的主要目标是确定和讨论现有模型和/或系统中发现的问题、挑战、弱点和局限性,以清楚了解该领域。根据某些标准和十年跨度,系统地收集和筛选了文章。本研究的结果将支持未来的研究人员和开发人员解决特定问题和挑战,填补研究空白,并改进社交距离系统以应对类似于 COVID-19 的大流行。