Intelligent data analysis for Wellbeing Monitoring

This paper explains how data analysis algorithms combined with a well-being modelling methodology are being employed to develop a new generation of telecare aimed at helping older people remain living more independently in their own homes for longer. Intelligent data analysis in the form of fuzzy systems, trend analysis, pattern discovery, and association rules are applied to data obtained from non-invasive sensors to capture comprehensive information about a person´s daily activities. The Graphical User Interface (GUI) components of the Intelligent Wellbeing Monitoring System serve as a tool that increases the amount of information available to care professionals. These tools do not provide recommendations for action or make judgements as to the wellbeing of a client, instead they provide the means for a carer to investigate and track a client´s wellbeing.