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- W4301431370 abstract "Corona virus disease 2019 (COVID-19) is an enduring extensive pandemic disease globally that infected several million people, occasionally leads to fatal. COVID-19 transfers from one person to another, the prevention is possible only through maintaining social distance. This paper proposed Internet of Things (IoT)-based smart wearable tags for social distance monitoring to prevent COVID-19. The advantage of the proposed system is that it alarms the person with the proposed tag and also entries the data in the IoT ledger of the channel for further analysis. The proposed system responds adequately so that social distancing can be maintained and pandemics can be prevented from further spreading. The analysis has been carried out using an experimental setup, and Thingspeak is used as an IoT channel for data analytics. The result shows the successfulness of the developed system in the prevention of pandemics with social distancing monitoring." @default.
- W4301431370 created "2022-10-05" @default.
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- W4301431370 date "2022-10-06" @default.
- W4301431370 modified "2023-10-18" @default.
- W4301431370 title "Design of Social Distance Monitoring Approach Using Wearable Smart Tags in 5G IoT Environment During Pandemic Conditions" @default.
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- W4301431370 doi "https://doi.org/10.1007/978-981-19-3575-6_70" @default.
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