We are surrounded by a wide variety of more or less intelligent technical devices, designed to serve us or others. Applications on our mobile phones, health sensors on our wrists, autonomous vacuum cleaners, robots in factories and increasingly autonomous cars… all of this aims to make our tasks easier and keep us safe and healthy. Seamless interaction with these devices is increasingly important as they proliferate and grow with their greater autonomy and ubiquitous presence. We expect the services they provide to be always available, but we want them to discreetly disappear into the background when we don’t need them. To provide assistance in a collaborative environment with human, physical and digital agents, technology must be equipped with senses that allow it to capture human presence, its mental and physical state, its activities and its intentions. This is necessary to ensure human safety, safeguard their health and allow natural interaction. This project aims to improve the detection of human presence, behavior and health in a collaborative or common environment using multi-sensor systems.
The general objective of the DistriMuSe project is to provide more precise, robust and complete detection solutions that contribute to maintaining the safety and health of people, through the innovative combination of multiple sensors that provide wide coverage and continuous surveillance. The project can be divided into five main objectives:
- O1: Enhancement of innovative multimodal sensors and optimized sensor systems for advanced human observation, measurement and interaction.
- O2: Data analysis based on machine learning and multi-sensor fusion for decision making in (semi) real time.
- O3: Supporting adaptive distribution of compute and algorithms across available resources from edge to cloud for efficient real-time operation
- O4: Creating a comprehensive understanding of human physical health, mental state, intentions, and safety risks.
- O5: Validation of technologies in human-centered use cases in three related application areas: 1) health and well-being monitoring and support; 2) improving traffic safety in real time, including vulnerable road users; 3) safe interaction and cooperation of humans with robots and automated factory systems.
Participating: VTT, ACORDE Technologies, Aitek Società per Azioni, Benete, Bittium, Bittium WS (Affiliate)**, Robert Bosch Gmbh, Brno University of Technology, Camea, ConsiderIT, COMmeto, State Agency Higher Council for Scientific Research, Demcon / Finapress , eLive, Emoj, Evalan Bv, Odin Solutions, Teledyne Flir Systems Trading, HI Iberia Ingeniería y Proyectos, SL, Stichting Imec Nederland, Infineon, IMA, IMEC, Univ Lleida (IRBLL), Stichting Kempenhaeghe, KU Leuven, Macq Sa, Pibond Oy, Prodrive Technologies Innovation Services BV, Pumacy Technologies AG, RELAB, Resiltech, Rulex Innovation Labs, Safran Navigation & Timing, Sentigrate, Smart Robotics, Televic, TRILITEC, TU Dresden, TU Eindhoven, Univ. Bologna, Univ. Bremen, Univ. Granada, Univ. Parma, UNISOB, Univ. Torino, University of Vigo, Valossa, Xenomatix
DistriMuSe project has received funding from the Key Digital Technologies Joint Undertaking (KDT JU) of the Horizon Europe research and innovation program under Grant Agreement No 101139769.
