Smart COVID-shield: an IoT driven reliable and automated prototype model for COVID-19 symptoms tracking

IoT technology is revolutionizing healthcare and is transforming it into more personalized healthcare. In the context of COVID-19 pandemic, IoT`s intervention can help to detect its spread. This research proposes an effective “Smart COVID-Shield” that is capable of automatically detecting prevalent...

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Published in:	Computing Vol. 104; no. 6; pp. 1233 - 1254
Main Authors:	Tripathy, Hrudaya Kumar, Mishra, Sushruta, Suman, Shubham, Nayyar, Anand, Sahoo, Kshira Sagar
Format:	Journal Article
Language:	English
Published:	Vienna Springer Vienna 01.06.2022 Springer Nature B.V
Subjects:	Aluminum Artificial Intelligence Body temperature Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Coronaviruses Cough COVID-19 Disease control Health care High temperature Information Systems Applications (incl.Internet) Modules Norms Regular Paper Sensors Social distancing Software Engineering Temperature sensors Tracking COVID-19 Internet of Things (IoT) Cough detect module (CDM) Temperature detect module (TDM) Smart COVID-shield 68T42 68T09 68-04
ISSN:	0010-485X, 1436-5057
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Abstract	IoT technology is revolutionizing healthcare and is transforming it into more personalized healthcare. In the context of COVID-19 pandemic, IoT`s intervention can help to detect its spread. This research proposes an effective “Smart COVID-Shield” that is capable of automatically detecting prevalent symptoms like fever and coughing along with ensuring social distancing norms are properly followed. It comprises three modules which include Cough Detect Module (CDM) for dry cough detection, Temperature Detect module (TDM) for high-temperature monitoring, and Distance Compute Module (DCM) to track social distancing norm violator. The device comprises a combination of a lightweight fabric suspender worn around shoulders and a flexible belt wrapped around the waist. The suspender is equipped with a passive infrared (PIR) sensor and temperature sensor to monitor persistent coughing patterns and high body temperature and the ultra-sonic sensor verify 6 feet distance for tracking an individual's social distancing norms. The developed model is implemented in an aluminum factory to verify its effectiveness. Results obtained were promising and reliable when compared to conventional manual procedures. The model accurately reported when body temperature rises. It outperformed thermal gun as it accurately recorded a mean of only 4.65 candidates with higher body temperature as compared to 8.59% with the thermal gun. A significant reduction of 3.61% on social distance violators was observed. Besides this, the latency delay of 10.32 s was manageable with the participant count of over 800 which makes it scalable.
AbstractList	IoT technology is revolutionizing healthcare and is transforming it into more personalized healthcare. In the context of COVID-19 pandemic, IoT`s intervention can help to detect its spread. This research proposes an effective “Smart COVID-Shield” that is capable of automatically detecting prevalent symptoms like fever and coughing along with ensuring social distancing norms are properly followed. It comprises three modules which include Cough Detect Module (CDM) for dry cough detection, Temperature Detect module (TDM) for high-temperature monitoring, and Distance Compute Module (DCM) to track social distancing norm violator. The device comprises a combination of a lightweight fabric suspender worn around shoulders and a flexible belt wrapped around the waist. The suspender is equipped with a passive infrared (PIR) sensor and temperature sensor to monitor persistent coughing patterns and high body temperature and the ultra-sonic sensor verify 6 feet distance for tracking an individual's social distancing norms. The developed model is implemented in an aluminum factory to verify its effectiveness. Results obtained were promising and reliable when compared to conventional manual procedures. The model accurately reported when body temperature rises. It outperformed thermal gun as it accurately recorded a mean of only 4.65 candidates with higher body temperature as compared to 8.59% with the thermal gun. A significant reduction of 3.61% on social distance violators was observed. Besides this, the latency delay of 10.32 s was manageable with the participant count of over 800 which makes it scalable. IoT technology is revolutionizing healthcare and is transforming it into more personalized healthcare. In the context of COVID-19 pandemic, IoT`s intervention can help to detect its spread. This research proposes an effective “Smart COVID-Shield” that is capable of automatically detecting prevalent symptoms like fever and coughing along with ensuring social distancing norms are properly followed. It comprises three modules which include Cough Detect Module (CDM) for dry cough detection, Temperature Detect module (TDM) for high-temperature monitoring, and Distance Compute Module (DCM) to track social distancing norm violator. The device comprises a combination of a lightweight fabric suspender worn around shoulders and a flexible belt wrapped around the waist. The suspender is equipped with a passive infrared (PIR) sensor and temperature sensor to monitor persistent coughing patterns and high body temperature and the ultra-sonic sensor verify 6 feet distance for tracking an individual's social distancing norms. The developed model is implemented in an aluminum factory to verify its effectiveness. Results obtained were promising and reliable when compared to conventional manual procedures. The model accurately reported when body temperature rises. It outperformed thermal gun as it accurately recorded a mean of only 4.65 candidates with higher body temperature as compared to 8.59% with the thermal gun. A significant reduction of 3.61% on social distance violators was observed. Besides this, the latency delay of 10.32 s was manageable with the participant count of over 800 which makes it scalable.
Author	Nayyar, Anand Mishra, Sushruta Sahoo, Kshira Sagar Tripathy, Hrudaya Kumar Suman, Shubham
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Cites_doi	10.3901/JME.2020.17.001 10.1056/NEJMoa2001316 10.1016/j.future.2018.07.001 10.1016/j.compbiomed.2021.105024 10.1016/j.micpath.2019.103814 10.1007/978-981-16-2786-6 10.1016/j.jpha.2020.02.010 10.14326/abe.7.88 10.1109/MCE.2020.2992034 10.2147/OAEM.S275983S 10.1109/ACCESS.2015.2437951 10.1016/j.ijid.2020.02.050 10.2807/ese.17.39.20285-en 10.1148/radiol.2020200490 10.1016/j.ceh.2020.03.001 10.4108/eai.13-7-2018.163997 10.32604/cmc.2021.017206 10.1109/I2CACIS.2019.8825047 10.1101/2020.04.06.20039909
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Keywords	COVID-19 Internet of Things (IoT) Cough detect module (CDM) Temperature detect module (TDM) Smart COVID-shield 68T42 68T09 68-04
Language	English
License	This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
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SubjectTerms	Aluminum Artificial Intelligence Body temperature Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Coronaviruses Cough COVID-19 Disease control Health care High temperature Information Systems Applications (incl.Internet) Modules Norms Regular Paper Sensors Social distancing Software Engineering Temperature sensors Tracking
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Title	Smart COVID-shield: an IoT driven reliable and automated prototype model for COVID-19 symptoms tracking
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