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 :
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