Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/2712

TitleFrom GPS tracks to context: Inference of high-level context information through spatial clustering
Author(s)Moreira, Adriano
Santos, Maribel Yasmina
KeywordsLocation-context
Location-aware applications
Spatial clustering
Inference
GPS tracks
Issue dateMay-2005
CitationINTERNATIONAL CONFERENCE AND EXHIBITION ON GEOGRAPHIC INFORMATION, 2, Estoril, 2005 - “Proceedings". ISBN 972-97367-5-8.
Abstract(s)Location-aware applications use the location of users to adapt their behaviour and to select the relevant information for users in a particular situation. This location information is obtained through a set of location sensors, or from network-based location services, and is often used directly, without any further processing, as a parameter in a selection process. In this paper we propose a method to infer high-level context information from a series of position records obtained from a GPS receiver. This method, based on a spatial clustering algorithm, automatically estimates the location of the places where a user lives and works. The achieved results show that the proposed approach rapidly converges to the real locations, and that the proposed algorithm can be used to simultaneously estimate both the home and workplace, while adapting to a wide range of spatio-temporal human behaviours.
TypeConference paper
URIhttp://hdl.handle.net/1822/2712
ISBN972-97367-5-8
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
DSI - Sistemas de Computação e Comunicações

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