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 widespread and easy use. We describe \(\mathcal{PI}\)—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.
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We would like to thank the editors and anonymous reviewers for their valuable comments and suggestions to improve the readability and technical quality of our paper.
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Ye, J., Stevenson, G., Dobson, S. et al. Perceiving and interpreting smart home datasets with \(\mathcal{PI}\) . J Ambient Intell Human Comput 4, 717–729 (2013). https://doi.org/10.1007/s12652-012-0148-5
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DOI: https://doi.org/10.1007/s12652-012-0148-5