Conference Paper2021Cited by 8

IoT Enabled Geofencing for Covid-19 Home Quarantine

Md Fahad Monir, Akil Hamid Chowdhury, Rabeya Anzum, M Ashraful Amin

2021 8th International Conference on Computer and Communication Engineering (ICCCE)

IEEE, pp. 373–378

  • Good Health and Well-being — Relevance: 95%
DOI: 10.1109/iccce50029.2021.9467204URL

Abstract

The novel coronavirus pandemic has brought our concern towards the necessity of digital infrastructure for remote monitoring of infected people as well as the people who are with close contact with them. Though, many nations have finished the clinical trials period of vaccination and started vaccination to people, still there are many uncertainties such as how these vaccines will work to the people with severe illness, which vaccine is more effective compared to others etc. Moreover, vaccination may not provide a full protection against the current situation since there are new variants of corona virus and the number of affected people increasing again. Therefore, a proper diseases detection and individual monitoring system to maintain a smart quarantine facility is still very much needed to minimise the rapid spread of covid-19 and other contagious virus. Here, wearable tools could play important roles to provide valuable information of tracking people such as real-time remote monitoring, contact tracing symptoms prediction etc. to establish and maintain a proper quarantine system. In this manuscript we proposed a geofencing system with a wristband, integrating it with IOT and GPS to trace Covid-19 patients inside a boundary. This design could be an effective quarantine solution as a home isolation system for covid-19 patients as well as the travellers who cross borders. The performance of our proposed system was measured with respect to received signal strength indication (RSSI), GPS accuracy and coverage.

Keywords

  • home quarantine
  • geofencing
  • remote patient monitoring
  • wearable wristband
  • GPS tracking
  • COVID-19 pandemic
  • Contact tracing
  • Internet of Things
  • GPS positioning accuracy
  • received signal strength indicator

CCDS Authors

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

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Cited By

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  1. 1.Abdul Majeed, Seong Oun Hwang. (2021). A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 Pandemic. IEEE Access, 9, 164159–164187[10.1109/access.2021.3130610]
  2. 2.Weipeng Zhuo, Ziqi Zhao, Ka Ho Chiu, Shiju Li, Sangtae Ha, Chul-Ho Lee, S.-H. Gary Chan. (2022). GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals. 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), 1051–1061[10.1109/icdcs54860.2022.00105]
  3. 3.Ahmed M. Abd El-Haleem, M. G. Anany, Abdullah I. Salama, Gamal A. Khalaf, Mahmoud M. Elmesalawy. (2022). Violation Detection Technique for COVID-19 Self-Isolation and Control Measures using Wireless and Geofencing Technologies. , 23, 1–6[10.1109/iceic54506.2022.9748727]
  4. 4.Vita Awalia Mardiana, Mochamad Mardi Martadinata, Galih Nugraha Nurkahfi, Arumjeni Mitayani, Dayat Kurniawan, Nasrullah Armi, Budi Prawara, Sudirja Sudirja, Andria Arisal, Rendra Dwi Firmansyah, Andri Fachrur Rozie, Sulaksono Priyo, Sopyan Setiana, Asih Setiarini. (2021). SIMONIC: IoT Based Quarantine Monitoring System for Covid-19. Jurnal Elektronika dan Telekomunikasi, 21(2), 112–121[10.14203/jet.v21.112-121]
  5. 5.Hadi Pashapour, Ali Nikfarjam, Mohtasham Ghaffari, Amir Kavousi, Niloofar Aslani, Manoochehr Karami. (2026). Good Practices for Managing Acute Respiratory Viral Infections at Aerial Entry Points: A Scoping Review. Journal of Epidemiology and Global Health, 16(1)[10.1007/s44197-026-00564-5]
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  7. 7.Hani Al-Balasmeh. (2024). Location Privacy Based on Geo-Fence Service in a Vehicular Cloud Networks. Studies in systems, decision and control, 553–568[10.1007/978-3-031-70399-7_42]
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