• 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