International Journal of Advanced Networking and Applications

Open Access Open Access  Restricted Access Subscription Access

Keep me in Distance: An Internet of Things based Social Distance Monitoring System in Covid19


Affiliations
1 Department of Computer Science, American International University- Bangladesh, Dhaka, Bangladesh
2 Department of Computer Science, American International University- Bangladesh, Dhaka, Nigeria
 

Despite, the fact, the observable benefits of the Internet of things (IoT) have been expanded to healthcare for automation, very few studies have been shed light on the wearable IoT to keep distance from human to human. In the Covid-19 situation, in general, it is advisable to keep a social distance to avoid the possibility of infection. Research from Wearable IoT sensor-based healthcare, IoT provides a pathway how citizens can keep them ata distance as IoT offers a myriad of sensors. Realizing the practical problem, in this research a social distance model is developed using wearable IoT. This proposed technique is easily implementable on wearable devices. Our proposed system is cost-effective, which is expected very suitable for the low-income regions of the world to monitor appropriate social distance.

Keywords

Social distance, Arduino, IoT, ultrasonic sensor, COVID-19.
User
Notifications
Font Size

  • Patel, K. and Bhatt, N., 2019. IoT Enabled Wearable Camera for Emerging Application World. International Journal of Advanced Networking and Applications, 10(6), pp.4090-4093.

  • Shahraki, A., Taherkordi, A., & Haugen, Ø. (2021). TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks. Computer Networks, 194, 108125.

  • Mahmud, S. G., Mishu, M. C. and Nandi, D. (2021) "Predicting Spread, Recovery and Death Due to COVID-19 using a Time-Series Model (Prophet)", AIUB Journal of Science and Engineering (AJSE), 20(1), pp. 71 - 76. Available at: http://ajse.aiub.edu/index.php/ajse/article/view/152 (Accessed: 14July2021).

  • Nadikattu, R.R., Mohammad, S.M. and Whig, D., 2020. Novel economical social distancing smart device for COVID19. International Journal of Electrical Engineering and Technology, 11(4).

  • Singh, V., Chandna, H., Kumar, A., Kumar, S., Upadhyay, N. and Utkarsh, K., 2020. IoT-Q-Band: a low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects. EAI Endorsed Transactions on Internet of Things, 6(21).

  • Fazio, M., Buzachis, A., Galletta, A., Celesti, A. and Villari, M., 2020, July. A proximity-based indoor navigation system tackling the COVID-19 social distancing measures. In 2020 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE.

  • Motlagh, N.H., Toivonen, P., Zaidan, M.A., Lagerspetz, E., Peltonen, E., Gilman, E., Nurmi, P. and Tarkoma, S., 2021, June. Monitoring Social Distancing in Smart Spaces using InfrastructureBased Sensors. In IEEE 7th World Forum on Internet of Things (WF-IoT 2021) (pp. 1-6). IEEE.

  • Rusli, M.E., Yussof, S., Ali, M. and Hassan, A.A.A., 2020, August. Mysd: a smart social distancing monitoring system. In 2020 8th International Conference on Information Technology and Multimedia (ICIMU) (pp. 399-403). IEEE.

  • Ansari, A.N., Shakeel, B., Alkhawaji, R.N., Alaboudi, A.A. and Ansari, A.N., 2021. AN IOT BASED SOCIAL DISTANCING MONITORING SYSTEM IN PUBLIC AREA FOR REDUCING THE IMPACT OF COVID-19. Ilkogretim Online, 20(2).

  • Tamilselvi, V., Sribalaji, S., Vigneshwaran, P., Vinu, P. and GeethaRamani, J., 2020, March. IoT based health monitoring system. In 2020 6th International conference on advanced computing and communication systems (ICACCS) (pp. 386-389). IEEE.

  • Sam, D., Srinidhi, S., Niveditha, V.R., Amudha, S. and Usha, D., 2020. Progressed iot based remote health monitoring system. International Journal of Control and Automation, 13(2s), pp.268-273.

  • Awotunde, J.B., Jimoh, R.G., AbdulRaheem, M., Oladipo, I.D., Folorunso, S.O. and Ajamu, G.J., 2022. IoT-Based wearable body sensor network for COVID-19 pandemic. Advances in Data Science and Intelligent Data Communication Technologies for COVID-19, pp.253-275.

  • Bashir, A., Izhar, U. and Jones, C., 2020. IoT based COVID-19 SOP compliance monitoring and assisting system for businesses and public offices.

  • Pant, D., Bhattarai, S. and Poudel, S., 2021. Smart Care: Body Area Sensor Network Conceptual Architecture for Elderly and Non-Critical Patient Care. International Journal of Advanced Networking and Applications, 12(5), pp.4706-4713.


Abstract Views: 169

PDF Views: 0




  • Keep me in Distance: An Internet of Things based Social Distance Monitoring System in Covid19

Abstract Views: 169  |  PDF Views: 0

Authors

Rifat-Ibn -Alam
Department of Computer Science, American International University- Bangladesh, Dhaka, Bangladesh
Nyme Ahmed
Department of Computer Science, American International University- Bangladesh, Dhaka, Nigeria
Syed Nafiul Shefat
Department of Computer Science, American International University- Bangladesh, Dhaka, Nigeria
Md Taimur Ahad
Department of Computer Science, American International University- Bangladesh, Dhaka, Nigeria

Abstract


Despite, the fact, the observable benefits of the Internet of things (IoT) have been expanded to healthcare for automation, very few studies have been shed light on the wearable IoT to keep distance from human to human. In the Covid-19 situation, in general, it is advisable to keep a social distance to avoid the possibility of infection. Research from Wearable IoT sensor-based healthcare, IoT provides a pathway how citizens can keep them ata distance as IoT offers a myriad of sensors. Realizing the practical problem, in this research a social distance model is developed using wearable IoT. This proposed technique is easily implementable on wearable devices. Our proposed system is cost-effective, which is expected very suitable for the low-income regions of the world to monitor appropriate social distance.

Keywords


Social distance, Arduino, IoT, ultrasonic sensor, COVID-19.

References