FARSEEING aims to promote better prediction, prevention and support of older persons, by long-term
analysis of behavioural and physiological data collected using Smartphones, wearable and environmental
sensors: leading to self-adaptive responses. FARSEEING aims to build the world’s largest fall repository.
This will include samples of both high functioning community-dwelling elders and high-risk groups of
fallers. The architecture of the database will facilitate collection, analysis and processing of data related to
falls, daily activity and physiological factors. The inclusion of a longstanding cohort study ensures a representative population sample, which is urgently needed to translate technological advance into real world service provision.
- Contact person: Lorenzo Chiari, email@example.com