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. 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.
|Title of host publication||Unknown Host Publication|
|Number of pages||4|
|Publication status||Published - 2006|
|Event||Fourth Annual IEEE International Conference on Pervasive Computing and Communications: Workshops - Pisa, Italy|
Duration: 1 Jan 2006 → …
|Workshop||Fourth Annual IEEE International Conference on Pervasive Computing and Communications: Workshops|
|Period||1/01/06 → …|