DocumentCode
729359
Title
Social isolation monitoring system via AI approach
Author
Di Lecce, Vincenzo ; Giove, Antonella ; Quarto, Alessandro ; Soldo, Domenico ; Di Lecce, Francesco
Author_Institution
AeFLab - DEI, Politec. di Bari, Bari, Italy
fYear
2015
fDate
9-10 July 2015
Firstpage
256
Lastpage
261
Abstract
H2020 policy objectives are mainly oriented to social inclusion, in this regard, particular attention is given to better public services for seniors. Due to the high costs of hospitalization, the home care as well as specialized training should be preferable both for reducing public expenditure and improving the physical and psychological well-being of elderly people. In this paper an ICT tool for elderly people (or peoples with psychic, sensory, neuromotor and disabilities) is presented. Aim of this tool is to form a bridge between senior citizen and new technologies, thus overcoming the well-known rejection of “technology with unknown implications”. At the same time the presented tool is suitable to identify variations of the senior ability while doing specific actions just for by evaluating a social isolation parameter.
Keywords
artificial intelligence; computerised monitoring; handicapped aids; information systems; AI; ICT tool; artificial intelligence; elderly people well-being; public expenditure reduction; public service; senior citizen; social inclusion; social isolation monitoring system; Aging; Mirrors; Monitoring; Senior citizens; Sensors; Training; mirror neurons; senior citizen; social isolation; teaching;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental, Energy and Structural Monitoring Systems (EESMS), 2015 IEEE Workshop on
Conference_Location
Trento
Print_ISBN
978-1-4799-8214-1
Type
conf
DOI
10.1109/EESMS.2015.7175887
Filename
7175887
Link To Document