A privacy-preserving scheme for passive monitoring of people's flows through WiFi beacons

K Gebru - 2022 IEEE 19th Annual Consumer Communications …, 2022 - ieeexplore.ieee.org
The proliferation of IoT-based services for smart cities, and especially those related to
mobility, are ever becoming more relevant and gaining attention from a number of stake …

Edge-based passive crowd monitoring through WiFi Beacons

K Gebru, M Rapelli, R Rusca, C Casetti… - Computer …, 2022 - Elsevier
Tracking people's flows has become crucial, not only for safety and security, but also for
numerous practical business applications and better management of urban spaces, facilities …

IoT-based mobility tracking for smart city applications

K Gebru, C Casetti, CF Chiasserini… - … on Networks and …, 2020 - ieeexplore.ieee.org
The proliferation of IoT devices and the growing deployment of 5G networks combine to
provide the perfect ecosystem for advanced smart city use cases. In this paper, we address …

Estimating indoor crowd density and movement behavior using WiFi sensing

SS Alam, M Al-Qurishi, R Souissi - Frontiers in The Internet of Things, 2022 - frontiersin.org
The fact that almost every person owns a smartphone device that can be precisely located is
both empowering and worrying. If methods for accurate tracking of devices (and their …

Identifying movements in noisy crowd analytics data

C Chilipirea, C Dobre, M Baratchi… - 2018 19th IEEE …, 2018 - ieeexplore.ieee.org
Privacy-preserved tracking of WiFi-enabled devices such as smartphones offers a highly
scalable solution for large-scale crowd movement studies. However, extracting knowledge …

Privacy-aware crowd monitoring and wifi traffic emulation for effective crisis management

R Rusca, A Carluccio, D Gasco… - … on Information and …, 2023 - ieeexplore.ieee.org
Estimating the number of people in a given area, denoted as “people counting” process,
plays a vital role in crisis management and disaster response, enabling accurate monitoring …

Towards exploiting Wi-Fi signals from low density infrastructure for crowd estimation

L Tonetto, M Untersperger, J Ott - Proceedings of the 14th Workshop on …, 2019 - dl.acm.org
The ubiquity of wireless devices such as smartphones, tablets and laptops, has enabled
sensing large crowds. This was made possible with numerous methods available that mostly …

Privacy‐preserving WiFi‐based crowd monitoring

R Rusca, A Carluccio, C Casetti… - Transactions on …, 2024 - Wiley Online Library
The process of estimating the number of individuals within a defined area, commonly
referred to as people counting, is of paramount importance in the realm of safety, security …

Know thy quality: Assessment of device detection by wifi signals

T Rütermann, A Benabbas… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Broadcasted WiFi traffic of mobile devices is the foundation of several estimation techniques
like location tracking or crowd counting. Many pervasive applications use these techniques …

PmA: a solution for people mobility monitoring and analysis based on WiFi probes

M Uras, R Cossu, L Atzori - 2019 4th International Conference …, 2019 - ieeexplore.ieee.org
The analysis of people mobility in urban contexts is of key importance to tackle major issues
in different fields, such as those related to urban planning, citizen safety …