A model and architecture for situation determination

Graham Thomson, Sotirios Terzis, Paddy Nixon

Research output: Contribution to conferencePaperpeer-review

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Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used. Furthermore, situations are commonly recognised at a low-level of granularity, which limits the scope of situation-aware applications. This paper presents a novel approach to situation determination that attempts to overcome these issues by providing a reusable library of general situation specifications that can be easily extended to create new specific situations, and immediately deployed without the need of an environment expert. A proposed architecture of an accompanying situation determination middleware is provided, as well as an analysis of a prototype implementation.
Original languageEnglish
Number of pages15
Publication statusPublished - 16 Oct 2006
Event16th Annual International Conference on Computer Science and Software Engineering (CASCON) - Toronto, Canada
Duration: 16 Oct 200619 Oct 2006


Conference16th Annual International Conference on Computer Science and Software Engineering (CASCON)
CityToronto, Canada


  • computing systems
  • information sysetms
  • situation determination


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