An Intelligent Monitoring System for Cognitive Impaired People

Cognitive impairment diseases show symptoms on difficulties in remembering, learning new things, concentrating, or making decisions that affect their everyday life. Age is a major risk factor for cognitive impairments and the number of people living with cognitive impairment is expected to grow dramatically. This paper presents a method and an infrastructure for i) monitoring behaviors of cognitive impaired people ii) detecting dangerous situations that involve patients iii) recovering the current situation whereas an anomaly is detected. The method adopts the Situation-Awareness paradigm to model monitoring infrastructure, an Artificial Intelligence techniques for the identification of patient´s behaviors. Test performed in laboratory and theoretic results show the validity of the approach. The research activity aims to develop a safe environments for cognitive impaired people.