A system architecture for context-aware mobile computing
A system architecture for context-aware mobile computing
The context toolkit: aiding the development of context-enabled applications
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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DIS '02 Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques
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ISAR '01 Proceedings of the IEEE and ACM International Symposium on Augmented Reality (ISAR'01)
Conserving Transmission Power in Wireless Ad Hoc Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
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Personal and Ubiquitous Computing
Reasoning about Uncertain Contexts in Pervasive Computing Environments
IEEE Pervasive Computing
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ACM Transactions on Computer-Human Interaction (TOCHI)
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ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
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Mobile Information Systems
Human-Computer Interaction
iCAP: interactive prototyping of context-aware applications
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Using sound source localization in a home environment
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Social disclosure of place: from location technology to communication practices
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Where am i: recognizing on-body positions of wearable sensors
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Symbolic object localization through active sampling of acceleration and sound signatures
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
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This paper describes the Obje Perception Framework (OPF), a distributed software architecture for context sensing and inference in ubiquitous computing environments. OPF provides flexibility, scalability, and robustness even as the sensor configuration changes. For flexibility, OPF supports many context inference tasks, ways of achieving those tasks, and heterogeneity in sensor types. With respect to scalability, OPF accommodates the needs of a large number of applications simultaneously while conserving power and reducing the amount of data transmitted over the network. And to support robustness to dynamism, OPF constructs context inference pipelines to satisfy each applications' needs in a goal-directed fashion. The value of OPF is demonstrated by a case study of an end-user application that helps users establish and manage connections among the various digital resources in their environment.