WP5: ALIVE platform
WP5 focuses on developing the ALIVE platform and is led by Researcher Monica Patrascu, with significant contributions from PhD Candidate Shivam Pandey and Postdoc Asmat Ullah, who both joined the project in March 2025.
Mobile platform
The team is working to create an integrated, multimodal, rule‑based fuzzy AI platform designed to support older adults with chronic conditions living at home.
In collaboration with Youwell, the project is developing a modular, digital plug-and-play mobile platform that includes five key components: a core application, sensing devices, intervention modules, a human-machine interface, and a user application. Interaction with the physical world is facilitated through sensors, such as the Garmin Venu 3S and Somnofy, and actuators, with user communication occurring via smartwatch, mobile phone, or tablet. Personalized interventions are generated based on a continuous, multidimensional assessment of each user’s health status and personal objectives. The design, testing, validation, and evaluation of all automation adhere rigorously to established methods from control engineering and systems theory, with a dedicated focus on stability, robustness, and reliability.
The work is being conducted in two phases: a manual mode and an AI mode. In the manual mode, the app will function as a lifestyle application that provides advice based on general recommendations and activity data received from the devices. Phase 1 is in its final stage, and a comprehensive REK application was submitted in January 2026.
For Phase 2, the fuzzy AI-integrated platform, significant progress has been made, including the in-depth analysis, fusion, and processing of data from the Garmin and Somnofy devices. Development is advancing on parallel tracks: several sub-modules are now in the functional validation phase, while the Youwell team is finalizing the primary development cycle in preparation for deployment testing.
Plans for the upcoming year include finalizing the AI model, submitting a separate REK application for the fuzzy AI-based platform, and integrating the model with the platform. This will be followed by comprehensive testing, trials, debugging, and both functional and expert validation. This phase will culminate in a pilot study to evaluate the platform’s feasibility, usability, and preliminary effectiveness with participants recruited from senior universities and the Bergen Municipality.