ESR11. Monitoring and detection of early risks of mental health from learned activity profiles
Project Title: Monitoring and detection of early risks of mental health from learned activity profiles.
Objectives: With the aging human population, mental illness is becoming an increasingly bigger problem. Early detection of, e.g., mild cognitive impairment (MCI) and dementia, is of utmost importance to slow down the progression of these conditions. The project includes the development of a novel method to use smart home (SH) and body worn sensors to detect the activity profiles of the older population. A data mining algorithm is developed to detect changes in the behaviour and the way daily activities are performed. These daily activity data are used in combination with results from validated cognitive test to build a hybrid CI risk assessment method. Ultimately, all these aspects are combined in a system that can assist healthcare specialists to make better risk assessments, as early as possible.
ESR11: Rick van Veen
Affiliation: Philips Research Laboratories