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IoT-Based Humanoid Software for Identification and Diagnosis of Covid-19 Suspects

Authors :
Sofia Pillai
Swapnili Karmore
Rushikesh Bodhe
Fadi Al-Turjman
R. Lakshmana Kumar
Source :
IEEE Sensors Journal. 22:17490-17496
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

COVID-19 pandemic has a catastrophic consequence globally since its first case was detected in December 2019, with an aggressive spread. Currently an exponential growth is expected. If not diagnosed at the proper time, COVID-19 may lead to death of the infected individuals. Thus, continuous screening, early diagnosis and prompt actions are crucial to control the spread and reduce the mortality. In this paper we focus on developing a Medical Diagnosis Humanoid (MDH) which is a cost effective, safety critical mobile robotic system that provides a complete diagnostic test to check whether an individual is infected by Covid-19 or not. This paper highlights the development of a system based on Artificial Intelligence for Medical Science, where humanoids can navigate through desired destinations, diagnose an individual for Covid-19 through various parameters and make a survey of a locality for the same. The humanoid uses the concept of real time data sensing and processing through machine learning produced by various sensors used in the context.

Details

ISSN :
23799153 and 1530437X
Volume :
22
Database :
OpenAIRE
Journal :
IEEE Sensors Journal
Accession number :
edsair.doi.dedup.....6464dcd9e2fc2c896761a03f9f3f1ada
Full Text :
https://doi.org/10.1109/jsen.2020.3030905