Perceiving and interpreting smart home datasets with PI
Juan Ye, Graeme Stevenson, Simon Dobson, Michael J. O’Grady, Gregory M. P. O’Hare · Ambient Intelligence · 2013
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 hetero- geneous mark-up impedes widespread and easy use. We describe PI —the Perceiver and semantic Interpreter— which offers a workbench API for the querying, re-struc- turing 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.