Hierarchical representations of collections of small rectangles
ACM Computing Surveys (CSUR)
The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Self-Organizing Maps
A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
Modeling and Querying Moving Objects
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Location-Aware Information Delivery with ComMotion
HUC '00 Proceedings of the 2nd international symposium on Handheld and Ubiquitous Computing
Using Semantic Networks for Knowledge Representation in an Intelligent Environment
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
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In this paper, we propose a way to retrieve and invoke ubiquitous objects within our living spaces by our behavior. Accumulations of GPS location information collected by a tiny program on a user's cellular phone are organized into a structure which represents the user's spatial behavior. This representation provides ubiquitous computing environment with assumptions about the user's movement in one-day duration, and allow them to act for the predicted future locations of the user. Since this knowledge representation about the user's daily route is a key to invoke ubiquitous objects by her/his current spatial behavior, we call it “Behavior-based Personal Controller” or “BPC”.A learning algorithm to organize the Behavior-based Personal Controller and a mechanism of the BPC's invoking networked ubiquitous objects are detailed in this paper.