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

Swapnili Karmore, Rushikesh Bodhe, Fadi Al‐Turjman, R. Lakshmana Kumar, Sofia Pillai

发表年份
2020
引用次数
66

摘要

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.

关键词

Context (archaeology)Coronavirus disease 2019 (COVID-19)LocalityHumanoid robotComputer scienceIdentification (biology)SoftwarePandemicMachine learningArtificial intelligence

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