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

Diana Saldana-Jimenez; Marcela D. Rodriguez; Adan-Noe Espinoza; Juan P. Garcia-Vazquez

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

Download584 downloads

Cite: BibTeX Plain Text

@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.

Keywords: ontology context-aware software agents ambent assited living

Published: 2009-08-04

: http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6061