Fall detection and localization of human operators inside a workspace are major issues in
ensuring a safe working environment. Recent research has shown that the perturbations of …

Received signal strength based device-free localization applications utilize a model that
relates the measurements to position of the wireless sensors and person, and the underlying …

Electromagnetic (EM) body models based on the scalar diffraction theory allow for predicting
the impact of subject motions on the radio propagation channel without requiring a time …

We propose a platform for the integration of passive radio sensing and vision technologies
into a cloud-IoT framework that performs real-time channel quality information (CQI) time …

Subject counting systems are extensively used in ambient intelligence applications, such as
smart home, smart building and smart retail scenarios. In this paper, we investigate the …

Device-free localization (DFL) systems exploit the human-induced perturbations of the
electromagnetic (EM) fields as a privacy-preserving sensing tool for passive detection …

Electromagnetic (EM) body models predict the impact of human presence and motions on
the Radio-Frequency (RF) stray radiation received by wireless devices nearby. These …

In this paper, we discuss the problem of device-free localization and tracking, considering
multiple bodies moving inside an area monitored by a wireless network. The presence and …

Radio-frequency (RF)-based device-free localization (DFL) systems measure RF
parameters such as the received signal strength or channel state information to detect and …

Electromagnetic (EM) body models predict the impact of human presence and motions on
the Radio-Frequency (RF) field originated from wireless devices nearby. Despite their …