An innovative approach for elderly behavioral analysis by adopting enabling IoT technologies

Abstract

As the average age of the citizens increases, cities must provide new services for the emerging problem. The City4Age project aims to provide meaningful interventions to address the problems related to Mild Cognitive Impairment and Frailty in elderly citizens. As part of the City4Age project we have developed a flexible and scalable data capturing and management infrastructure which combines both the Internet of Things and Linked Open Data paradigms. A proof-of-concept validation illustrates how data are collected, managed and computed by the proposed system to make them available for MCI and frailty risk detection algorithms and for third parties.