2020
DOI: 10.3390/s20195665
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A Review of the State of the Art in Non-Contact Sensing for COVID-19

Abstract: COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 c… Show more

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Cited by 88 publications
(72 citation statements)
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“…A number of significant approaches have been proposed, and good recognition rates have been reported for specific offline Arabic handwritten databases, especially in the case of digits. However, OAHR is an active research area that always requires accuracy improvement, and accordingly, more generalized and enhanced recognition models are demanded for better accuracy [ 80 , 81 , 82 , 83 , 84 ]. The work presented in this paper was restricted to DL OAHR approaches, and therefore, in this literature review, we focused on reviewing the most recent and competitive DL-related works that solved the OAHR problem.…”
Section: Related Workmentioning
confidence: 99%
“…A number of significant approaches have been proposed, and good recognition rates have been reported for specific offline Arabic handwritten databases, especially in the case of digits. However, OAHR is an active research area that always requires accuracy improvement, and accordingly, more generalized and enhanced recognition models are demanded for better accuracy [ 80 , 81 , 82 , 83 , 84 ]. The work presented in this paper was restricted to DL OAHR approaches, and therefore, in this literature review, we focused on reviewing the most recent and competitive DL-related works that solved the OAHR problem.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, several non-contact techniques have been interpreted as highly valuable in dealing with highly infectious diseases such as COVID-19. In a pandemic scenario, non-contact sensing was able to detect information without direct contact with the patients and without devices physically touching the body [ 122 ].…”
Section: Proposed Ioe Taxonomymentioning
confidence: 99%
“…Sensing technologies can also be used for the non-invasive detection of the COVID-19. One way to do that is terahertz imaging, in which the terahertz beams are directed over the chest of the person to take the images that show the Doppler effect of terahertz waves as shown in Figure 3B (Taylor et al, 2020). These images can be classified using advanced deep learning and AI algorithms to identify the infected and healthy cells based on water content.…”
Section: Sensing and Communication Enhancementmentioning
confidence: 99%