1st International ICST Worksop on Situation Recognition and Medical Data Analysis in Pervasive Health Environments

Research Article

A context-aware component for identifying risks associated to elders' activities of daily living

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.6061,
        author={Diana Saldana-Jimenez and Marcela D. Rodriguez and Adan-Noe Espinoza and Juan P. Garcia-Vazquez},
        title={A context-aware component for identifying risks associated to elders' activities of daily living},
        proceedings={1st International ICST Worksop on Situation Recognition and Medical Data Analysis in Pervasive Health Environments},
        proceedings_a={PERVASENSE},
        year={2009},
        month={8},
        keywords={ontology, context-aware, software agents, ambent assited living},
        doi={10.4108/ICST.PERVASIVEHEALTH2009.6061}
    }
    
  • Diana Saldana-Jimenez
    Marcela D. Rodriguez
    Adan-Noe Espinoza
    Juan P. Garcia-Vazquez
    Year: 2009
    A context-aware component for identifying risks associated to elders' activities of daily living
    PERVASENSE
    IEEE
    DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6061
Diana Saldana-Jimenez1,*, Marcela D. Rodriguez1,*, Adan-Noe Espinoza1,*, Juan P. Garcia-Vazquez1,*
  • 1: Engineering School and Institute of Engineering, Autonomous University of Baja California, Mexicali, Mexico
*Contact email: dianasj@uabc.mx, marcerod@uabc.mx, adanposg@uabc.mx, jgarcia@uabc.mx

Abstract

As elders age, performing everyday tasks can be filled with risks that threaten their health and independence. We present a context-aware component based on agents that enables developers to build Ambient Intelligence Systems for supporting the independent living of elders. This component uses the ELDeR ontology that we propose to model the context information inherent to the elder's daily activities and that enables agents to infer risks. Our aim is to provide a context-aware component flexible enough to easily enable developers to change the contextual conditions for inferring risks in order to respond to a different scenario. In this paper, we describe the component functionality and illustrate its use by presenting the design of a sample application.