Smart Objects and Technologies for Social Good. Second International Conference, GOODTECHS 2016, Venice, Italy, November 30 – December 1, 2016, Proceedings

Research Article

Smartphones as Multipurpose Intelligent Objects for AAL: Two Case Studies

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  • @INPROCEEDINGS{10.1007/978-3-319-61949-1_14,
        author={Susanna Spinsante and Laura Montanini and Ennio Gambi and Lambros Lambrinos and F\^{a}bio Pereira and Nuno Pombo and Nuno Garcia},
        title={Smartphones as Multipurpose Intelligent Objects for AAL: Two Case Studies},
        proceedings={Smart Objects and Technologies for Social Good. Second International Conference, GOODTECHS 2016, Venice, Italy, November 30 -- December 1, 2016, Proceedings},
        proceedings_a={GOODTECHS},
        year={2017},
        month={7},
        keywords={Ambient assisted living Mobile device Activity monitoring Drug management},
        doi={10.1007/978-3-319-61949-1_14}
    }
    
  • Susanna Spinsante
    Laura Montanini
    Ennio Gambi
    Lambros Lambrinos
    Fábio Pereira
    Nuno Pombo
    Nuno Garcia
    Year: 2017
    Smartphones as Multipurpose Intelligent Objects for AAL: Two Case Studies
    GOODTECHS
    Springer
    DOI: 10.1007/978-3-319-61949-1_14
Susanna Spinsante1,*, Laura Montanini1, Ennio Gambi1, Lambros Lambrinos2, Fábio Pereira3, Nuno Pombo, Nuno Garcia
  • 1: Universita’ Politecnica delle Marche
  • 2: Cyprus University of Technology
  • 3: Universidade da Beira Interior
*Contact email: s.spinsante@univpm.it

Abstract

The increasing adoption of smartphones among older adults, especially in most developed countries, suggests they can be used not only for personal communications, but also in the framework of Active and Assisted Living solutions. This paper addresses two case studies in which a smartphone, when equipped with a proper software application, may operate as an inactivity monitor, and a drug management assistant, respectively. Activity monitoring is carried out by targeting the user’s interaction with the smartphone related to incoming, outgoing, and lost calls. In the latter case, an application processes images of drugs boxes captured by the smartphone camera, to automatically recognize the name of the drug, and inform the user about the corresponding prescription. Experimental results show this kind of approach is technically feasible and may provide satisfactory performance through a very easy interaction, thus supporting improved medication adherence by patients.