Abstract
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.
Original language | English |
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Title of host publication | Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06) |
Editors | Enrico Gregori, Ali Hurson |
Place of Publication | United States |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Print) | 0769525202 |
DOIs | |
Publication status | Published - 2006 |
Externally published | Yes |
Event | Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06) - Pisa, Pisa, Italy Duration: 13 Mar 2006 → 17 Mar 2006 |
Conference
Conference | Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06) |
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Abbreviated title | PERCOMW'06 |
Country/Territory | Italy |
City | Pisa |
Period | 13/03/06 → 17/03/06 |