Research Article
IoT-Q-Band: A low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects
@ARTICLE{10.4108/eai.13-7-2018.163997, author={Vibhutesh Kumar Singh and Himanshu Chandna and Ashish Kumar and Sujeet Kumar and Nidhi Upadhyay and Kumar Utkarsh}, title={IoT-Q-Band: A low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects}, journal={EAI Endorsed Transactions on Internet of Things}, volume={6}, number={21}, publisher={EAI}, journal_a={IOT}, year={2020}, month={4}, keywords={wearable, quarantine band, coronavirus disease, nCov, COVID-19, demonstration, Internet of things, Smart devices, Demonstration, Experimentation, Proof-of-concept, Prototypes and demonstrators, Embedded systems}, doi={10.4108/eai.13-7-2018.163997} }- Vibhutesh Kumar Singh
Himanshu Chandna
Ashish Kumar
Sujeet Kumar
Nidhi Upadhyay
Kumar Utkarsh
Year: 2020
IoT-Q-Band: A low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects
IOT
EAI
DOI: 10.4108/eai.13-7-2018.163997
Abstract
The world health organization (WHO) has declared the novel coronavirus disease (nCoV or COVID-19) outbreak a pandemic, and quarantines are playing a vital role in containing its spread. But globally, the defections of the quarantined subjects are raising serious concerns. If COVID-19 positive, the absconding quarantine subjects can infect more people, which makes the timely detection of them vital. As the literature suggests, a wearable makes a subject more compliant towards healthcare routines/restrictions; thus, in this work, we have designed an IoT based wearable quarantine band (IoT-Q-Band) to detect the absconding. While designing it, we kept in mind the cost, global supply chain disruption, and COVID-19 quarantine duration, which the WHO recommends. This wearable prototype, with the bundled mobile app, reports and tracks the absconding quarantine subjects in real-time. IoT-Q-Band is an economical solution that could benefit lowincome regions to prevent the spread of COVID-19.
Copyright © 2020 V.K. Singh et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
