Contributo in atti di convegno, 2018, ENG
Barcaro U.; Barsocchi P.; Crivello A.; Delmastro F.; Di Martino F.; Distefano E.; Dolciotti C.; La Rosa D.; Magrini M.; Palumbo F.
CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-IIT, Pisa, Italy; CNR-IIT, Pisa, Italy; CNR-IIT, Pisa, Italy; Department of Translational Research of New Technologies in Medicine and Surgery University of Pisa, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy
As populations become increasingly aged, it is more important than ever to promote "Active Ageing" life styles among older people. Age-related frailty can influence an individual's physiological state making him more vulnerable and prone to dependency or reduced life expectancy. These health issues contribute to an increased demand for medical and social care, thus economic costs. In this context, the INTESA project aims at developing a holistic solution for older adults, able to prolong their functional and cognitive capacity by empowering, stimulating, and unobtrusively monitoring the daily activities according to well-defined "Active Ageing" life-style protocols.
AI*AAL.it 2017 Artificial Intelligence for Ambient Assisted Living, pp. 102–117, Bari, Italy, 16-17/11/2017
Ambient Assisted Living, Long-term monitoring, Well-being assessment
Barcaro Umberto, Crivello Antonino, Distefano Emanuele, Di Martino Flavio, Delmastro Franca, Magrini Massimo, Barsocchi Paolo, Palumbo Filippo, La Rosa Davide
IIT – Istituto di informatica e telematica, ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 384342
Year: 2018
Type: Contributo in atti di convegno
Creation: 2018-02-21 18:08:11.000
Last update: 2021-12-17 17:24:33.000
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:384342
Google Scholar: https://scholar.google.it/scholar?oi=bibs&cluster=14351050105761336051&btnI=1&hl=it&authuser=2
Scopus: 2-s2.0-85044435092