Device-free Pedestrian Count Estimation Using Wi-Fi Channel State Information

Sandaruwan, Roshan; Alagiyawanna, Isuru; Sandeepa, Sameera; Dias, S.A.D.; Dias, Dileeka

doi:10.1109/itsc48978.2021.9564725

Cited by 10 publications

(1 citation statement)

References 13 publications

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“…Prevention of the spread of COVID-19 by keeping a distance is possible if the number of persons in a location or room does not exceed a certain number so that persons can keep their distance from one another. Before the COVID-19 pandemic, there were extensive studies to monitor the number of persons and the congestion level of a location or room using cameras [7][8], sensors [9][10], and Wi-Fi devices [11] [12]. However, these studies did not take into account the distance between people (social distancing), which is essential to prevent the spread of COVID-19.…”

Section: Related Workmentioning

confidence: 99%

Self-monitoring and self-alarm social distancing system based on BLE ESP32

Sugiyanto¹,

Agung²,

Ainul³

2023

Proceedings of the 1st International Conference on Sustainable Engineering Development and Technological Innovation, ICSEDTI 20

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The COVID-19 pandemic is still out there, and in mid-2022, diseases such as monkeypox and tomato flu outbreak in UK and India, respectively. Those diseases are also spread through physical contact. Therefore, it is critical to do social distancing, especially since the restrictions are no longer enforced. This study developed a system for self-monitoring and self-alarm when people approach within a radius of 1 meter on the university campuses environement. The distance monitoring system utilizes BLE on the ESP32 microcontroller. Based on the RSSI, a radius of 1 meter is detected with -71 dBm to -75 dBm RSSI. The Android app is designed using MIT Inventor to evaluate anyone who approaches in a day, and this can help trace if anyone is indicated to have COVID-19. Lastly, this device is designed with comfortable consideration in the user's pocket when sitting, standing, or driving a vehicle.

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Section: Related Workmentioning

confidence: 99%