A SURVEY ON MONITORING SOCIAL DISTANCE USING WEARABLE OR IOT SENSOR DEVICES
DOI:
https://doi.org/10.17605/OSF.IO/S3PFXKeywords:
Social distance, wearable sensor, IoT sensor, Coronavirus and disease.Abstract
Coronavirus has infected millions of individuals around the world, and the number of sick persons keeps growing up. The virus is passed from person to person via direct, indirect, or close contact with infected individuals. This research survey introduces a smart social distance system that allows individuals to maintain social distances between others in both indoor and outdoor contexts, preventing COVID-19 exposure and limiting its spread locally and throughout the country.
Also difficult to identify the Covid-19 patient activities such as symptom prediction, identification and monitoring of isolated people. Due to its deeply entrenched sensing capability and easy communication, the Internet of Things (IoT) platform is recommended for achieving this goal. Smart healthcare, smart homes, and smart cities are all utilising IoT technology to create a more convenient and intelligent community. This survey gathered how the Internet of Things (IoT) could be integrated into an epidemic prevention and control system and
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M. Saraswath, K.V. Arya, Automated microscopic image analysis for leukocytes identification: a survey. Micron, Vol. 6(5), pp. 20–33, 2014.
Sun, C., and Zhai, Z., The efficacy of social distance and ventilation effectiveness in preventing COVID-19 transmission, Journal of Sustain. Cities Soc., Vol. 6(2), pp. 10-23, 2020.
S. Bradley, Statistical Analysis of Human Overpopulation and its Impact on Sustainability, Jo. of Medical Image Analysis, Vol. 1(8), pp. 1-8, 2018.
G. Arora, G. Kroumpouzos, M. Kassir, M. Jafferany, T. Lotti, R. Sadoughifar, Z. Sitkowska, S. Grabbe, and M. Goldust, Solidarity and transparency against the COVID-19 pandemic, Dermatologic therapy, edth13359. Advance online publication. https://doi.org/10.1111/dth.13359, 2020.
L.S. Lau, G. Samari, R.T. Moresky, S.E. Casey, S.P. Kachur, L.F. Roberts, and M. Zard, COVID-19 in humanitarian settings and lessons learned from past epidemics”, Nat Med, Vol. 2(6), pp. 647–648. 2020.
J. Rocklov and H. Sjodin, High population densities catalyse the spread of COVID-19, Journal of Travel Medicine, Vol. 27(3), pp. 1-10, 2020.
M. Nicola, Z. Alsafi, C. Sohrabi, A. Kerwan, A. Al-Jabir, C. Iosifidis, M. Agha, and R. Agha, The socio-economic implications of the coronavirus and COVID-19 pandemic: a review, International Journal of Surgery, vol. 78, pp. 185–193, 2020.
R.R. Nadikattu, S.M. Mohammad, and P. Whig, “Novel Economical Social Distancing Smart Device for COVID-19”, International Journal of Electrical Engineering and Technology (IJEET), 2020.
Cunha, A.O., Loureiro, J.V., and Guimarães, R.L., Design and Development of a Wearable Device for Monitoring Social Distance using Received Signal Strength Indicator. In Proceedings of the Brazilian Symposium on Multimedia and the Web, São Luís, Brazil, pp. 57–60, 2020.
Bian, S., Zhou, B., Bello, H., and Lukowicz, P., A wearable magnetic field based proximity sensing system for monitoring COVID-19 social distancing. In Proceedings of the 2020 International Symposium on Wearable Computers, Cancún, Mexico, pp. 22–26, 2020.
Kobayashi, Y., Taniguchi, Y., Ochi, Y., and Iguchi, N., A System for Monitoring Social Distancing Using Microcomputer Modules on University Campuses. In Proceedings of the 2020 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Busan, Korea, pp. 1–4, 2020.
Neelavathy Pari, S., Vasu, B., and Geetha, A.V., Monitoring Social Distancing by Smart Phone App in the effect of COVID-19. Glob. J. Comput. Sci. Technol. Vol. 9, 946–953, 2020.
Jahmunah, V.; Sudarshan, V.K.; Oh, S.L.; Gururajan, R.; Gururajan, R.; Zhou, X.; Tao, X.; Faust, O.; Ciaccio, E.J.; Ng, K.H.; et al. Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science, Vol. 31, pp. 455–471, 2021.
Lubis, A.F. Basari Proximity-Based COVID-19 Contact Tracing System Devices for Locally Problems Solution. In Proceedings of the 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Yogyakarta, Indonesia, pp. 365–370, 2020.
Alrashidi, M. Social Distancing in Indoor Spaces: An Intelligent Guide Based on the Internet of Things: COVID-19 as a Case Study, Jo. of Computers, Vol. 9, pp. 80-91, 2020.
Alhmiedat, T.; Salem, A.A. A Hybrid Range-free Localization Algorithm for ZigBeeWireless Sensor Networks. Int. Arab. J. Inf. Technol. 2017, 14, 647–653.
Sun, Y.; Zhang, X.; Wang, X.; Zhang, X. Device-free wireless localization using artificial neural networks in wireless sensor networks. Wirel. Commun. Mob. Comput. 2018, 2018. [CrossRef]
Ahmed, I.; Ahmad, M.; Rodrigues, J.J.; Jeon, G.; Din, S. A deep learning-based social distance monitoring framework for COVID-19. Sustain. Cities Soc. 2021, 65, 102571. [CrossRef] [PubMed]
Al-Khazraji, A.; Nehad, A.E. Smart Monitoring System for Physical Distancing. In Proceedings of the 2020 Second International Sustainability and Resilience Conference: Technology and Innovation in Building Designs (51154), Sakheer, Bahrain, 11–12 November 2020; pp. 1–3.
C. Yang and H. R. Shao, “WiFi-based indoor positioning,” IEEE Communications Magazine, vol. 53, no. 3, pp. 150-157, Mar. 2015.
R. J. Glass, L. M. Glass, W. E. Beyeler and H. J. Min, “Targeted social distancing designs for pandemic influenza,” Emerging infectious diseases, Vol. 12(11), pp. 1671-1681, 2006.
S. Maharaj and A. Kleczkowski, “Controlling epidemic spread by social distancing: Do it well or not at all,” BMC Public Health, Vol. 12(1), pp. 679-697, 2012.
N. Todtenberg and R. Kraemer, “A Survey on Bluetooth Multi-hop Networks,” Ad Hoc Networks, vol. 93, pp. 101922-101949, Jun. 2019
Y. Zhuang, J. Yang, Y. Li, L. Qi, and N. El-Sheimy, “Smartphone-based Indoor Localization With Bluetooth Low Energy Beacons,” Sensors, Vol. 16(5), pp. 596-616, 2016.
K. Mingis, “Tech pitches in to fight COVID-19 pandemic.”, Computer World, May 5, 2020. Accessed: Apr. 20, 2020.
T. Romm, D. Harwell, E. Dwoskin and C. Timberg, “Apple, Google debut major effort to help people track if they’ve come in contact With Coronavirus.” Washington Post, Apr. 11, 2020. Accessed: Apr. 20, 2020.
J. Wang, R. K. Dhanapal, P. Ramakrishnan, B. Balasingam, T. Souza and R. Maev, “Active RFID based indoor localization,” in IEEE International Conference on Information Fusion (FUSION), Ottawa, ON, Canada, Jul. 2-5, 2019.
P.Deepan and L.R. Sudha, “Deep Learning and its Applications related to IoT and Computer Vision”, Artificial Intelligence and IoT: Smart Convergence for Eco-friendly Topography, Springer Nature,pp. 223-244, 2021.
Dr.B.Rajalingam, Dr.R.Santhoshkumar, Dr. G. Govinda Rajulu, Dr. R. Vasanthselvakumar, Dr. G. JawaherlalNehru, Dr. P. Santosh Kumar Patra, “Survey On Automatic Water Controlling System For Garden Using Internet Of Things (Iot)” The George Washington International Law Review, Vol.- 07 Issue -01 April-June 2021.
P. Dabove and V. D. Pietra, “Towards high accuracy GNSS real-time positioning with smartphones” Advances in Space Research, vol. 63(1), pp. 94-102, 2019.
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