A class of mobile motion prediction algorithms for wireless mobile computing and communication
Mobile Networks and Applications - Special issue: routing in mobile communications networks
A User-Centered Location Model
Personal and Ubiquitous Computing
A Spatial Model Based on the Notions of Spatial Conceptual Map and of Object's Influence Areas
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
A Practical User Mobility Prediction Algorithm for Supporting Adaptive QoS in Wireless Networks
ICON '99 Proceedings of the 7th IEEE International Conference on Networks
Learning Significant Locations and Predicting User Movement with GPS
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps
IEEE Transactions on Mobile Computing
QoS provisioning in cellular networks based on mobility prediction techniques
IEEE Communications Magazine
An alternative strategy for location tracking
IEEE Journal on Selected Areas in Communications
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Although various location-sensing techniques and services have been developed, most of the conventional location-based services provide only static service. They do not consider user’s preference but only a current location. Considering the trajectory might help to understand the user’s intention and to provide a proper service. We propose a novel method that predicts user’s mobility to provide service corresponding to the intention. The user’s movement trajectory is analyzed by two stage modeling of recurrent self-organizing maps (RSOM) and Markov models. Using a GPS data set collected on the campus of Yonsei University, we have verified the usefulness of the proposed method.