An Edge-Based Social Distancing Detection Service to Mitigate COVID-19 Propagation

Ksentini, Adlen; Brik, Bouziane

doi:10.1109/iotm.0001.2000138

Cited by 36 publications

(16 citation statements)

References 6 publications

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“…Ksentini et al [11] proposes combining IoT and multiaccess edge computing technologies to build a service that checks and warns people in near real time to help them maintain social distancing. The proposed approach uses a client application that is installed on the user's smartphone, which periodically transmits GPS coordinates to remote servers at the edge of the network.…”

Section: Related Workmentioning

confidence: 99%

Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors

Motlagh

Toivonen

Zaidan

et al. 2021

2021 IEEE 7th World Forum on Internet of Things (WF-IoT)

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Social distancing is a critical tool for mitigating disease transmission, particularly in crowded indoor spaces. In this paper, we contribute by assessing the feasibility of re-purposing existing infrastructure of occupancy monitoring sensors and environmental sensors for the dual purpose of monitoring social distancing and supporting disease transmission risk estimation. We consider 410 continuous days of measurements from CO 2 and PIR (passive infrared) motion detectors collected from a collaborative smart space, prior to the start of the pandemic in 2017-2018. We demonstrate how these sensors can be used to estimate occupancy levels, as well as analyze occupancy patterns within the space. We also consider the use of overall air quality within the space for estimating insights about potential transmission risks. Based on our analysis, we derive insights into how infrastructure-based sensors can be used to detect problematic areas in the space and offer guidelines on how to modify these areas to be more social distancing aware.

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Section: Related Workmentioning

confidence: 99%

Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors

Motlagh

Toivonen

Zaidan

et al. 2021

2021 IEEE 7th World Forum on Internet of Things (WF-IoT)

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“…Up to now, all the measurements have been considered exact to formalize the basic problem. However, the joint effect of incorrect satellite-to-receiver range measurements and the time-dependent geometry of the observed satellites characterize the distribution of the positioning solution, thus the computation of ( 12) and (13). Input uncertainties must be taken into account to evaluate the error propagation.…”

Section: Statistical Modelling For Inter Agent Rangingmentioning

confidence: 99%

“…In such a scenario, distance estimation technologies can facilitate social distancing and support contact tracing solutions, becoming a key enabler for effective mitigation of the spreading of the infection. Therefore, several technologies have been proposed in the last months not only to assess inter-personal distances but also to cover different aspects of interest such as real-time monitoring for crowd detection and avoiding [3,12,13]. In particular, several radio-frequency wireless technologies [3] and emerging methods exploiting Aritifical Intelligence (AI) and Machine Learning (ML) [12] have been analyzed in recent surveys for distance estimation and social distancing.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, according to (12), an aided agent A that wants to compute the inter-personal distance should (i) measure r C A (t k ) and h C A (t k ), (ii) retrieve from B an estimate of r C B (t k ), and (iii) obtain a measure of γ(t k ) from the cooperation with B. It is worth noticing that the accomplishment of (iii) can be attained either by sharing h C A (t k ) and let B perform the estimation of (13) or by gathering h C B (t k ) from B and locally compute (13). A set of variants of the IAR algorithm were proposed in which the roles of the agents can be swapped [31] or re-arranged [43].…”

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confidence: 99%

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Modelling and Experimental Assessment of Inter-Personal Distancing Based on Shared GNSS Observables

Minetto

Nardin

Dovis

2021

Sensors

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In the last few years, all countries worldwide have fought the spread of SARS-CoV-2 (COVID-19) by exploiting Information and Communication Technologies (ICT) to perform contact tracing. In parallel, the pandemic has highlighted the relevance of mobility and social distancing among citizens. The monitoring of such aspects appeared prominent for reactive decision-making and the effective tracking of the infection chain. In parallel to the proximity sensing among people, indeed, the concept of social distancing has captured the attention to signal processing algorithms enabling short-to-medium range distance estimation to provide behavioral models in the emergency. By exploiting the availability of smart devices, the synergy between mobile network connectivity and Global Navigation Satellite Systems (GNSS), cooperative ranging approaches allow computing inter-personal distance measurements in outdoor environments through the exchange of light-weight navigation data among interconnected users. In this paper, a model for Inter-Agent Ranging (IAR) is provided and experimentally assessed to offer a naive collaborative distancing technique that leverages these features. Although the technique provides distance information, it does not imply the disclosure of the user’s locations being intrinsically prone to protect sensitive user data. A statistical error model is presented and validated through synthetic simulations and real, on-field experiments to support implementation in GNSS-equipped mobile devices. Accuracy and precision of IAR measurements are compared to other consolidated GNSS-based techniques showing comparable performance at lower complexity and computational effort.

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“…In [12], the authors proposed a (MEC ETSI) for monitoring people to achieve social distancing. MEC is multi-access computing moves services from a central cloud to the edge of the network and is closer to the client.…”

Section: Gps Technologymentioning

confidence: 99%

Smart Appointments Booking Systems for Social Distancing: Technologies and Solutions

Almuhsin

Almadan

Almarhoon

et al. 2021

Advances in Intelligent Systems and Computing

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Electronic appointments booking systems contribute to facilitating the work of companies and institutions. With the current situations caused by the spread of the COVID-19, these systems have become ineffective. Many procedures have been forced to reduce the spread of the COVID-19, including social distancing, which emphasizes keeping a safe distance between people. This paper presents a literature review of QR code applications and social distancing techniques that aid in developing smart appointments booking systems for social distancing.

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An Edge-Based Social Distancing Detection Service to Mitigate COVID-19 Propagation

Cited by 36 publications

References 6 publications

Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors

Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors

Modelling and Experimental Assessment of Inter-Personal Distancing Based on Shared GNSS Observables

Smart Appointments Booking Systems for Social Distancing: Technologies and Solutions

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