PATH - PAssive Tracking of people and things for physical beHavior analysis
Horizon 2020 - MSCA Global Fellowship
MIT and University of Ferrara
June 2016 - May 2019
The main goal of PATH is to define a new paradigm for the behavior analysis of physical targets (e.g., people and things), by tracking their positions and dynamics with minimal implementation cost, maximal privacy preservation, and intrinsic secrecy protection. Without relying on any targets’ device and without deploying any dedicated wireless source, PATH enables the detection, localization, and tracking of targets that do not participate in the localization process and integrates such capabilities in infrastructures for the Internet of things. This is essential for several applications relying on behavior analysis, such as crowd counting and flow monitoring. The objectives of PATH are: (i) to develop a framework for system design and analysis, as well as to derive fundamental limits; (ii) to devise advanced techniques for detection and exploitation of networks of opportunity (i.e., networks not intended for localization and covering the operating environment); (iii) to develop inference techniques based on wireless networks properties for intrinsically secure tracking; (iv) to recognize new patterns related to targets dynamics based on signal feature extraction; (v) to establish a proof-of-concept for an industrial-driven use case.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 703893.