Mobile platform
CC.AGE will implement knowledge-based AI (e.g., fuzzy, Bayesian), which utilizes the outcomes of evidence-based healthcare structured into inference engines comprised of rules. Restriction mechanisms will be put in place to ensure adherence to ethical, moral, and legal perspectives. The ALIVE platform will interact with the physical world through sensors and actuators. The design, testing, validation, and evaluation of all automation in the project will be performed using established methods from control engineering and systems theory, with special attention to stability, robustness and reliability. Sensors (Garmin Venu 3S, Somnofy installation) will provide information on the status of the user and one fully closed cascaded feedback control system will be implemented, which involves interaction with the user through a smartwatch, mobile phone, or tablet. Interventions will be delivered based on individualized assessment of the complex chronic conditions and preferences of the user. A postdoc and a PhD candidate with background in software engineering have been hired and will begin work in early 2025.