PI : perceiver and interpreter of smart home datasets

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Title: PI : perceiver and interpreter of smart home datasets
Authors: Ye, Juan
Stevenson, Graeme
Dobson, Simon
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 homeActivity recognitionPervasive healthcareContext modeling
Subject LCSH: Home automation
Medical care--Technological innovations
Human activity recognition
Context-aware computing
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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