Understanding and Using Context
Personal and Ubiquitous Computing
Project Aura: Toward Distraction-Free Pervasive Computing
IEEE Pervasive Computing
A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
NIST Smart Space: Pervasive Computing Initiative
WETICE '00 Proceedings of the 9th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Portability, Extensibility and Robustness in iROS
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
The connector: facilitating context-aware communication
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
An Ontology-based Framework for Dynamic Resource Management in Ubiquitous Computing Environments
ICESS '05 Proceedings of the Second International Conference on Embedded Software and Systems
Agent based middleware infrastructure for autonomous context-aware ubiquitous computing services
Computer Communications
Personal and Ubiquitous Computing
Human-Computer Interaction
A middleware for context-aware agents in ubiquitous computing environments
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
2D person tracking using Kalman filtering and adaptive background learning in a feedback loop
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
A testing methodology for face recognition algorithms
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
A personalised search approach for web service recommendation
International Journal of Ad Hoc and Ubiquitous Computing
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Context-aware computing systems aim at facilitating human-computer interaction by providing non-obtrusive services to the end users. Such services require sophisticated software architectural frameworks which enable the reusability, scalability and autonomy of the resulting services, while being able to adapt to the environment. In this paper we describe a number of sophisticated context-aware services, which have been designed and implemented using a breadboard software architecture for pervasive human-centric services, using techniques for situation recognition based on monitoring the environment. These services exploit a wide range of context-acquisition components and sensors controllers which can be provided by a variety of vendors.