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PI : perceiver and interpreter of smart home datasets
Ye, Juan; Stevenson, Graeme; Dobson, Simon; O'Grady, Michael J.; O'Hare, G. M. P. (Greg M. P.)
Paper presented at Pervasive Health 2011, 5th International ICST Conference on Pervasive Computing Technologies for Healthcare, 23rd-26th May 2011 - Dublin, Ireland 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. Science Foundation Ireland au,ti,ke,ab,SB-08/09/2011
Keyword(s): Smart home; Activity recognition; Pervasive healthcare; Context modeling; Home automation; Medical care--Technological innovations; Human activity recognition; Context-aware computing
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: University College Dublin
Publisher(s): IEEE
File Format(s): other; application/pdf
First Indexed: 2012-08-25 05:17:19 Last Updated: 2018-10-11 16:22:20