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Advances in Sensor Technology and IoT Framework to Mitigate COVID-19 Challenges

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Internet of Things and Sensor Network for COVID-19

Abstract

The sensor network and Internet of things (IoT) framework has been at the top of the research agenda for more than a decade now. Many researchers have been working on building models, developing robust theories, and designing societal applications for the betterment of the general population. The COVID-19 emergency has not given us ample time to think of optimal solutions for various necessities; instead, researchers throughout the world reacted to the challenge and started working on the solutions. Never in our history of innovations, there has been such a pressing and immediate requirement for the researchers to come up with solutions and discover answers. Ease of use, reliability and robustness, accuracy, acceptability by the users and officials, an enhanced lifetime of the devices, and affordability in terms of cost are some of the major challenges that need to be addressed to ensure success. This chapter presents recent innovations in sensor technology, wireless communication, and IoT systems, and its usefulness in mitigating the COVID-19 challenges.

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References

  1. Ting, D.S.W., Carin, L., Dzau, V., et al.: Digital technology and COVID-19. Nat. Med. 26, 459–461 (2020). https://doi.org/10.1038/s41591-020-0824-5

    Article  Google Scholar 

  2. https://www.media.mit.edu/projects/saving-face/overview/

  3. Ahmed, S., Cho, S.H.: Hand gesture recognition using an IR-UWB radar with an inception module-based classifier. Sensors 20, 564 (2020)

    Article  Google Scholar 

  4. Shanthakumar, V.A., Peng, C., Hansberger, J., et al.: Design and evaluation of a hand gesture recognition approach for real-time interactions. Multimedia Tools Appl. (2020). https://doi.org/10.1007/s11042-019-08520-1

    Article  Google Scholar 

  5. Mohammed, N.A., Halimatuz Z., Al-Zubaidi, S., et al.: Novel COVID-19 detection and diagnosis system using IoT based smart helmet. Int. J. Psychosoc. Rehabil. 24(7), 2296–2303 (2020). https://doi.org/10.37200/ijpr/v24i7/pr270221

  6. Kotsiantis, S.B., Zaharakis, I.D., Pintelas, P.E.: Machine learning: a review of classification and combining techniques. Springer Science+Business Media B.V. (2007). https://doi.org/10.1007/s10462-007-9052-3

  7. Hsieh, C., Liou, D.: Novel haar features for real-time hand gesture recognition using SVM. J. Real-Time Image Proc. 10, 357–370 (2015). https://doi.org/10.1007/s11554-012-0295-0

    Article  Google Scholar 

  8. Jones, M., Viola, P.: Fast multi-view face detection. Mitsubishi Electr. Res. Lab. TR2003-96 (2003). http://www.merl.com

  9. https://www.mobihealthnews.com/news/asia-pacific/temp-pal-smart-thermometer-helps-reduce-covid-19-spread-hospitals

  10. https://www.cnbc.com/2020/04/02/this-smart-thermometer-could-help-detect-covid-19-hot-spots.html

  11. Behar, J.A., Liu, C., Tsutsui, K., Corino, V.D.A., Singh, J., Pimentel, M.A.F., Karlen, W., Warrick, P., Zaunseder, S., Andreotti, F., Osipov, M., McSharry, P.E., Kotzen, K., Karmakar, C., Clifford, G.D.: Remote health monitoring in the time of COVID-19. 2005.08537, arXiv,cs.CY (2020)

    Google Scholar 

  12. http://www.vivalnk.com/covid-19

  13. Chettri, S., Debnath, D., Devi, P.: Leveraging digital tools and technologies to alleviate COVID-19 pandemic. Available at SSRN: https://ssrn.com/abstract=3626092 or http://dx.doi.org/10.2139/ssrn.3626092 (2020)

  14. https://www.iweecare.com/EN/index.html

  15. https://www.visionstate.com/post/visionstate-ships-first-iot-buttons-for-rapid-response-to-cleaning-alerts

  16. Mohammed, M.N., Syamsudin, H, Al-Zubaidi, S., Rusyaizila Ramli, S.A.K, Yusuf, E.: Novel COVID-19 detection and diagnosis system using IOT based smart helmet. https://doi.org/10.37200/ijpr/v24i7/pr270221

  17. Gulzar, K., Sang, J., Tariq, O.: A cost effective method for automobile security based on detection and recognition of human face. In: 2017 2nd International Conference on Image, Vision and Computing (ICIVC), Chengdu, pp. 259–263 (2017). https://doi.org/10.1109/icivc.2017.7984557

  18. Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vision 57, 137–154 (2004)

    Article  Google Scholar 

  19. Mohammed, A., Hazairin, N., Al-Zubaidi, S., Karim, S., Mustapha, S., Yusuf, E.: Toward a novel design for coronavirus detection and diagnosis system using IoT based Drone Technology. Int. J. Psychosoc. Rehabil. 24, 2287–2295 (2020). https://doi.org/10.37200/ijpr/v24i7/pr270220

  20. Singh, V.K., Chandna, H., Kumar, A., Kumar, S., Upadhyay, N., Utkarsh, K.: IoT-Q-Band: a low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects. EAI Endorsed Trans. Internet Things

    Google Scholar 

  21. Bai, L., Yang, D., Wang, X., Tong, L., Zhu, X., Bai, C., et al.: Chinese experts’ consensus on the Internet of things-aided diagnosis and treatment of coronavirus disease 2019. Clinical eHealth (2020). In press

    Google Scholar 

  22. https://www.cnbc.com/2020/04/03/covid-19-proves-the-need-for-social-robots-and-robot-avatars-experts.html

  23. https://www.marketsandmarkets.com/Market-Reports/covid-19-impact-on-iot-market-212332561.html

  24. https://foodsafetytech.com/column/iot-influences-restaurant-food-safety-management/

  25. Ding, W.: Study of smart warehouse management system based on the IOT. In: Du, Z. (ed.) Intelligence Computation and Evolutionary Computation, pp. 203–207. Springer Berlin Heidelberg, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-31656-2_30

  26. http://www.nodemcu.com/index_en.html#fr_54747361d775ef1a3600000f

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Correspondence to Siba Kumar Udgata .

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Udgata, S.K., Suryadevara, N.K. (2021). Advances in Sensor Technology and IoT Framework to Mitigate COVID-19 Challenges. In: Internet of Things and Sensor Network for COVID-19. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-15-7654-6_4

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