The proliferation of Wi-Fi devices has led to the rise of privacy concerns related to MAC
Address-based systems used for people tracking and localization across various …

To preserve people privacy and prevent device (and people) tracking, WiFi MAC address
randomization is been introduced by an ever increasing number of operating systems …

Monitoring the presence and movements of individuals or crowds in a given area can
provide valuable insight into actual behavior patterns and hidden trends. Therefore, it is …

The knowledge of how people move in urban areas is helpful for the effective deployment of
many city services, such as planning and management of transport mobility services …

Counting people is an important part of people-centric applications, and the increase in the
number of IoT devices has allowed the collection of huge amounts of data to facilitate people …

In the past decade, several algorithms have been proposed to monitor people's mobility
based on the analysis of management messages generated by Wi-Fi devices and which rely …

Everyday, as we go about our business in a city, we carry around several devices such as
smartphones, tablets or even laptops, most of them with an active WiFi interface. This …

WiFi-based crowdsensing is a major source of data in a variety of domains such as human-
mobility, pollution-level estimation, and, opportunistic networks. MAC randomisation is a …

We present a device-and network-based solution for automatic passnger counting that
operates on the edge in real time. The proposed solution consists of a low-cost WiFi scanner …

Real-time awareness of crowd counts and distribution is vital for applications like crowd
management, traffic control, and urban planning. Compared to vision-based methods …