RadioVision is based on sophisticated real-time processing of the Channel Quality Information (CQI) that provides receiverside measurements of the signals exchanged for IoT communication tasks. The action has three core objectives:

1. advance our theoretical understanding of how people movements, activities, and emotions interact with the coherent electromagnetic waves emitted by commercial wireless data transmission systems (WiFi, cellular, Bluetooth, machine-type devices, from GHz to THz bands):
2. develop an innovative large-scale computational architecture, that adopts computer vision, machine and deep learning methodologies to enable the real-time tracking of people indoor (buildings, halls, public spaces), and the discrimination of individual subject activities.
3. demonstrate the potential of the technology with a series of increasingly challenging demonstrators in which the proposed system will serve as enabler for advanced free-space user interfaces (UI).

Below some relevant projects

Title: Holden: Ethical Design of Holography with Dense wireless Networks.

Funding: HORIZON-EIC-2022-PATHFINDEROPEN-01-01. 2023-2026.

Partners: Aalto University, CNR, Adant Technologies, Tech. University of Munich, Twente University

Project summary: The project is funded within the HORIZON-EIC Pathfinder open program. EIC Pathfinder Open supports early-stage development of radically new technologies. HOLDEN constitutes a concentrated effort to explore social aspects of RF-sensing to guide the technological advance and to derive technology for ethically and privacy compliant perception.

Title: RadioSense: Wireless Big Data for next-gen Smart Industry (BDSI).

Funding: ERA-NET H2020 – CHISTERA III 2019-2022

Partners: Aalto University, CNR, Telecom Sud Paris Tech

Project summary: Building on all partner’s long expertise in device-free radio-based sensing, the RadioSense project kick starts the development of innovative sensing tools as key enablers in advanced manufacturing and human-robot collaborative workspaces. RadioSense technology leverages real-time collection and processing of heterogeneous radio signal streams (e.g., those found in 4G/5G and WiFi connections) and PHY/MAC Channel State Information (CSI) that form a specific type of “big data”. The RadioSense project is funded by the    2017 call under the topic Big Data and process modelling for Smart Industry (BDSI).  See the website RadioSense and also the Link.

Title: CyberSort: promozione di un nuovo modello e nuovi strumenti per la cernita, identificazione separazione dei rifiuti.

Funding: Regione Lombardia, Accordo Quadro Regione Lombardia – CNR 2016-2019

Partners: CNR ITIA, IEIIT IPCB, IFN, IMM, INO

Project summary: The aim of the Cyber-Sort project is to design and develop innovative models and technologies for the identification, sorting and separation of valuable materials from End-of-Life waste stream with the aim to reuse secondary raw materials. Innovative sensing and automated robotic sorting technologies will be developed for the recognition of different materials. IEIIT is involved in the design, development and validation of a prototype of a wireless IoT platform for safe human-robot interactions in shared workspaces that uses advanced radio-frequency sensors working in the GHz up to THz bands. For more information click here.