An IoT-aware system for elderly monitoring

Abstract

The aging population is a global phenomenon, characterized by many interesting challenges. In this context, the Internet of Things technologies could allow to analyze the elderly's behavioral in an unobtrusive way, thus helping to prevent Mild Cognitive Impairment and frailty problems. To this end, this work aims to define a reliable system for controlling the position and the body motility of the elderly in low-cost and low-power way. Movements and body motility are, indeed, good indicators of behavioral changes. The system represents the basis of a complete architecture for behavioral analysis and risk detection developed within the City4Age project, funded by the Horizon 2020 Programme of the European Commission.