7th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Demonstrating Contexta-CARE: a Situation-Aware System for Supporting Independent Living

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2013.252048,
        author={Davide Merico and Roberto Bisiani and Fabio Malizia and Gabriele Rizzi and Hashim Ali},
        title={Demonstrating Contexta-CARE: a Situation-Aware System for Supporting Independent Living},
        proceedings={7th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2013},
        month={5},
        keywords={situation recognition context-aware situation awareness independent living wireless sensor networks},
        doi={10.4108/icst.pervasivehealth.2013.252048}
    }
    
  • Davide Merico
    Roberto Bisiani
    Fabio Malizia
    Gabriele Rizzi
    Hashim Ali
    Year: 2013
    Demonstrating Contexta-CARE: a Situation-Aware System for Supporting Independent Living
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2013.252048
Davide Merico1,*, Roberto Bisiani1, Fabio Malizia1, Gabriele Rizzi1, Hashim Ali2
  • 1: Contexta Network Solutions S.r.l.
  • 2: University of Milan-Bicocca, DISCo
*Contact email: davide.merico@contexta.it

Abstract

In this paper we propose the demonstration of an Independent Living system that exploits an approach based on situation awareness and ambient intelligence in order to improve the quality of life of users that want to live independently. This approach aims at extending "awareness" bringing to bear new ambient data and opening the possibility of "reasoning" on complex sequences of events in relation to the context they occur in, i.e. particular situations such as falls. Contexta-CARE, the situation-aware independent-living system we implemented in order to validate the approach, enables close monitoring of a person as well as of the environment where the person lives. Contexta-CARE has the ability to both highlight, preventively, situations that might evolve into potentially dangerous events, and to promptly signal critical events, like falls. The demonstration will highlight all the details of the particular approach we are proposing.