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COVID-19 Lifeguard: A Compact Wearable-IoT (W-IoT) System for Health Safety and Protection of Outgoers in the Post-Lockdown World
2021 International Conference on Control, Automation, Power and Signal Processing, CAPS 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1784477
ABSTRACT
Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which has spread worldwide, creating an unprecedented pandemic situation. Due to rapid spreading, the pandemic forced several nations to impose lockdown for isolating the population and new policies of quarantine were adopted. After the government eased the restrictions, the most prominent challenges faced by daily commuters (employees or students) include maintaining a safe distance from others, regular sanitization, and washing hands, wearing masks and face shields, contact tracing, etc. It is quite difficult to practice social distancing and always use hand sanitizer when using public transport or at the workplace and people do not have a track of their temperature, heart rate, and oxygen saturation level. Though it is ideal to avoid traveling, when necessary some factors need to be considered such as personal hygiene, contactless interaction, disinfection, and monitoring important health parameters. Given this, we aim to develop an IoT-enabled compact wearable system including all essential features like an electronic face mask, an automatic sanitizer dispenser, and a Temperature-SpO2 monitoring wearable to avoid any physical touch and discomfort and alert the nearby doctors about irregularity in any parameter through the GSM module. The results of the software simulation of the system and the web-scraping using Python software to extract coordinates of containment zones are discussed in the paper. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Control, Automation, Power and Signal Processing, CAPS 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Control, Automation, Power and Signal Processing, CAPS 2021 Year: 2021 Document Type: Article