440 citations · 531 across the 20 of their papers we have counts for
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A Body-of-Revolution Human Model for RF Sensing with Measurement-Driven Calibration for Indoor Environments
Haoqing Wen, Michele D'Amico, Matteo Oldoni +5
Model training for Device-Free Localization (DFL) and Radio-Frequency (RF) sensing systems heavily relies on large-scale datasets, which are costly and time-consuming to obtain thr…
Efficient 2.5-D FEM-Based Scattering Analysis of the Human Body for RF Sensing
Haoqing Wen, Michele D'Amico, Matteo Oldoni +5
Model training for Device-Free Localization (DFL) and Radio-Frequency (RF) sensing heavily relies on large-scale datasets, which are difficult, expensive, and time-consuming to obt…
RF sensing with dense IoT network graphs: An EM-informed analysis
Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1
Radio Frequency (RF) sensing is attracting interest in research, standardization, and industry, especially for its potential in Internet of Things (IoT) applications. By leveraging…
Device-Free Localization with Multiple Antenna Receivers: Simulations and Results
Vittorio Rampa, Federica Fieramosca, Stefano Savazzi +1
Device-Free Localization (DFL) is a passive radio method able to detect, estimate, and localize targets (e.g., human or other obstacles) that do not need to carry any electronic de…
On the impact of the antenna radiation patterns in passive radio sensing
Federica Fieramosca, Vittorio Rampa, Stefano Savazzi +1
Electromagnetic (EM) body models based on the scalar diffraction theory allow to predict the impact of subject motions on the radio propagation channel without requiring a time-con…
Full-wave EM simulation analysis of human body blockage by dense 2D antenna arrays
Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1
Recently, proposals of human-sensing-based services for cellular and local area networks have brought indoor localization to the attention of several research groups. In response t…
Physics-informed generative neural networks for RF propagation prediction with application to indoor body perception
Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1
Electromagnetic (EM) body models designed to predict Radio-Frequency (RF) propagation are time-consuming methods which prevent their adoption in strict real-time computational imag…
An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study
Vittorio Rampa, Federica Fieramosca, Stefano Savazzi +1
Device-Free Localization (DFL) employs passive radio techniques capable to detect and locate people without imposing them to wear any electronic device. By exploiting the Integrate…
A physics-informed generative model for passive radio-frequency sensing
Stefano Savazzi, Federica Fieramosca, Sanaz Kianoush +2
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 wireless de…
Electromagnetic Models for Passive Detection and Localization of Multiple Bodies
Vittorio Rampa, Gian Guido Gentili, Stefano Savazzi +1
The paper proposes a multi-body electromagnetic (EM) model for the quantitative evaluation of the influence of multiple human bodies in the surroundings of a radio link. Modeling o…
A Multisensory Edge-Cloud Platform for Opportunistic Radio Sensing in Cobot Environments
Sanaz Kianoush, Stefano Savazzi, Manuel Beschi +2
Worker monitoring and protection in collaborative robot (cobots) industrial environments requires advanced sensing capabilities and flexible solutions to monitor the movements of t…
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks
Stefano Savazzi, Monica Nicoli, Vittorio Rampa
Federated learning (FL) is emerging as a new paradigm to train machine learning models in distributed systems. Rather than sharing, and disclosing, the training dataset with the se…
Analog MIMO Radio-over-Copper: Prototype and Preliminary Experimental Results
Andrea Matera, Vittorio Rampa, Marcello Donati +3
Analog Multiple-Input Multiple-Output Radio-over-Copper (A-MIMO-RoC) is an effective all-analog FrontHaul (FH) architecture that exploits any pre-existing Local Area Network (LAN)…