Research Article
PI: Perceiver and Interpreter of Smart Home Datasets
@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
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.