Covid-19 mandatory self-quarantine wearable device for authority monitoring with edge ai reporting & flagging system

Lim, Wei Jie and Normaniha, Abd Ghani (2022) Covid-19 mandatory self-quarantine wearable device for authority monitoring with edge ai reporting & flagging system. Health and Technology, 12. pp. 215-226. ISSN 2190-7188 (printed), 2190-7196(Online). (Published)

Covid-19 mandatory self-quarantine wearable device for authority monitoring.pdf

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A mandatory self-quarantine is necessary for those who return from overseas or any red zone areas. It is important that the self-quarantine is conducted without the non-adherence issue occurring and causes the self-quarantine individual to be the carrier of the COVID-19 in the community. To navigate and resolve this issue, most countries have implemented a series of COVID-19 monitoring and tracing systems. However, there are some restrictions and limitation which can lead to intentional non-adherence. The quarantined individuals can still travel within the community by removing the wristband or simply providing an incorrect contact status in the tracing application. In this paper, a novel configuration for mandatory self-quarantine system is proposed. It will enable interaction between the wearable and contact tracing technologies to ensure that the authorities have total control of the system. The hardware of the proposed system in the wearable device is low in cost, lightweight and safe to use for the next user after the quarantine is completed. The software (software and database) that linked between the quarantine user and normal user utilizes edge artificial intelligence (AI) for reporting and flagging mechanisms.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: COVID-19; Contact tracing; Quarantine monitoring ; Edge artificial intelligence (AI)
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
Faculty/Division: College of Engineering
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 27 Dec 2022 08:06
Last Modified: 27 Dec 2022 08:06
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