Using Advanced IoT-based Machine Learning for In-Home Quality Ageing

Trustworthy IoT-based machine learning algorithms will be developed to leverage in-home behavioural data that is coupled with contextual data related to age group, ethnicity, and other parameters to provide a highly personalised detection and prevention of adverse events that negatively affect the quality of in-home ageing. Presently the InteliCare system is reactive. Our research will enable to accurately predict and prevent adverse health events, using advanced and highly personalised techniques using non-obstructive and invisible technologies. We will use passive sensors, which will be complemented with contextual data to provide personalised detection and prevention of adverse health events