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COVID-19 Mandatory self-quarantine wearable device for authority monitoring with edge AI reporting & flagging system.
Lim, Wei Jie; Abdul Ghani, N M.
  • Lim WJ; Department of Electrical Engineering, College of Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia.
  • Abdul Ghani NM; Department of Electrical Engineering, College of Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia.
Health Technol (Berl) ; 12(1): 215-226, 2022.
Article in English | MEDLINE | ID: covidwho-1704286
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Health Technol (Berl) Year: 2022 Document Type: Article Affiliation country: S12553-021-00631-w

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Health Technol (Berl) Year: 2022 Document Type: Article Affiliation country: S12553-021-00631-w