DISTRIBUTED MULTI-SENSOR SYSTEMS FOR HUMAN SAFETY AND HEALTH
HORIZON-KDT-JU-2023-2-RIA
Grant Agreement n. 101139769
The objectives of the DISTRIMUSE project are:
- Development of advanced sensors for advanced observation of human interaction
- Development of multi-sensory data analysis and fusion solutions for machine learning-based decision making
- Supporting adaptive distribution of computations and algorithms across available resources for efficient real-time operation
- A more accurate understanding of human physical health, mental state, behavior, and intentions, and how these factors can be used to reduce safety risks
- Validation of technologies in human-centric use cases in three related application domains
In DistriMuSe project, ResilTech offers its skills in the context of safety-critical systems, contributing to the design of the DistriMuSe platform, supporting a clear and complete identification of the safety requirements. During the project ResilTech will support the verification and validation of the platform, evaluating the impact on safety of the AI solutions included in the platform and exploring methodologies to guarantee safety of AI-based functionalities.
In the cybersecurity field, ResilTech will support the application of a systematic methodology for IEC 62443 compliant Threat Analysis and Risk Assessment (TARA) and will contribute to the definition of cyber security countermeasures based on pre-determined security level targets.