The number of years a person has not lived with reference to their average expected lifespan.
Published in Chapter:
Application of Artificial Intelligence Towards Successful Ageing: A Holistic Approach
Stavros-Theofanis Miloulis (National Technical University of Athens, Greece), Ioannis Kakkos (National Technical University of Athens, Greece), Athanasios Anastasiou (National Technical University of Athens, Greece), George K. Matsopoulos (National Technical University of Athens, Greece), and Dimitris Koutsouris (National Technical University of Athens, Greece)
Copyright: © 2022
|Pages: 22
DOI: 10.4018/978-1-7998-9190-1.ch010
Abstract
Global population ageing is a pressing issue with significant humanitarian implications associated with compromised independence, social isolation, frailty, and diminished quality of life affecting millions of older individuals and their families worldwide as well as healthcare and social infrastructures. In this context, this chapter presents a personalized smart-living framework for promoting healthy and successful ageing, combining interdisciplinary knowledge and technologies including internet of things (IoT), artificial intelligence (AI), and affective computing (AC). The proposed intervention tackles the health-related, societal, and emotional impacts of ageing within a society with a rising mean global age aiming to mitigate the effects of decline and reduce the associated risks. The outlined architecture is based on sensor-derived information blended with non-sensor-based computerized modules and voice-based inputs for establishing a smart ecosystem that enables older people to live independently inside and outside their home, maintaining a high cognitive and physical status.