Monitoring activity patterns and trends of older adults.

This paper presents a pattern mining model developed for the continuous monitoring of high level activities and home-based behaviors for functional and cognitive status assessment with ambient assisted living systems such as in the EU-funded SOPRANO project. Motivating older people to engage in regular physical exercise is a key task of SOPRANO to improve health status and executive functions. A case study has been elaborated through software simulations to show how physical everyday life activity such as walking or sitting could be assessed and controlled for a better health lifestyle using the model.