5th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

PI: Perceiver and Interpreter of Smart Home Datasets

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.245926,
        author={Juan Ye and Graeme  Stevenson and Simon Dobson and Michael O'Grady and Gregory O'Hare},
        title={PI: Perceiver and Interpreter of Smart Home Datasets},
        proceedings={5th International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={4},
        keywords={Smart home pervasive healthcare context modeling activity recognition},
        doi={10.4108/icst.pervasivehealth.2011.245926}
    }
    
  • Juan Ye
    Graeme Stevenson
    Simon Dobson
    Michael O'Grady
    Gregory O'Hare
    Year: 2012
    PI: Perceiver and Interpreter of Smart Home Datasets
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2011.245926
Juan Ye1,*, Graeme Stevenson1, Simon Dobson1, Michael O'Grady2, Gregory O'Hare2
  • 1: University of St Andrews
  • 2: University College Dublin
*Contact email: ye.yejuan1204@gmail.com

Abstract

Pervasive healthcare systems facilitate various aspects of research including sensor technology, software technology, artificial intelligence and human-computer interaction. Researchers can often benefit from access to real-world data sets against which to evaluate new approaches and algorithms. Whilst more than a dozen data sets are currently publicly available, their use of heterogeneous mark-up impedes easy and widespread use. We describe PI -- the Perceiver and semantic Interpreter -- which offers a workbench API for the querying, re-structuring and re-purposing of a range of diverse data formats currently in use. The use of a single API reduces cognitive overload, improves access, and supports integration of generic and domain-specific information within a common framework.