PI : perceiver and interpreter of smart home datasets
|Title:||PI : perceiver and interpreter of smart home datasets||Authors:||Ye, Juan
O'Grady, Michael J.
O'Hare, G. M. P. (Greg M. P.)
|Permanent link:||http://hdl.handle.net/10197/3193||Date:||23-May-2011||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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||IEEE||Copyright (published version):||2011 IEEE||Keywords:||Smart home;Activity recognition;Pervasive healthcare;Context modeling||Subject LCSH:||Home automation
Medical care--Technological innovations
Human activity recognition
|Language:||en||Status of Item:||Peer reviewed||Is part of:||2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) [proceedings]||Conference Details:||Paper presented at Pervasive Health 2011, 5th International ICST Conference on Pervasive Computing Technologies for Healthcare, 23rd-26th May 2011 - Dublin, Ireland|
|Appears in Collections:||CLARITY Research Collection|
Computer Science Research Collection
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