Internet of Things. User-Centric IoT. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part I

Research Article

Preventing Health Emergencies in An Unobtrusive Way

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  • @INPROCEEDINGS{10.1007/978-3-319-19656-5_35,
        author={Vittorio Miori and Dario Russo},
        title={Preventing Health Emergencies in An Unobtrusive Way},
        proceedings={Internet of Things. User-Centric IoT. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part I},
        proceedings_a={IOT360},
        year={2015},
        month={7},
        keywords={Ambient intelligent Association rules Data mining DomoNet Domotics Home automation Machine learning Web services XML},
        doi={10.1007/978-3-319-19656-5_35}
    }
    
  • Vittorio Miori
    Dario Russo
    Year: 2015
    Preventing Health Emergencies in An Unobtrusive Way
    IOT360
    Springer
    DOI: 10.1007/978-3-319-19656-5_35
Vittorio Miori1,*, Dario Russo1,*
  • 1: National Research Council of Italy (CNR)
*Contact email: vittorio.miori@isti.cnr.it, dario.russo@isti.cnr.it

Abstract

The Ambient Intelligence () paradigm represents the vision of the next wave of computing. By relying on various computing and networking techniques, AmI systems have the potential to enhance our everyday lives in many different aspects. One area in which widespread application of this innovative paradigm promises particularly significant benefits is health care. The work presented here contributes to realizing such promise by proposing a functioning software application able to learn the behaviors and habits, and thereby anticipate the needs, of inhabitants living in a technological environment, such as a smart house or city. The result is a health care system that can actively contribute to anticipating, and thereby preventing, emergency situations to provide greater autonomy and safety to disabled or elderly occupants, especially in cases of critical illness.