Learning significant locations from GPS data with time window

Jian Tang; Lingkui Meng

doi:10.1117/12.712609

28 October 2006 Learning significant locations from GPS data with time window

Jian Tang, Lingkui Meng

Proceedings Volume 6418, Geoinformatics 2006: GNSS and Integrated Geospatial Applications; 64180J (2006) https://doi.org/10.1117/12.712609
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

The most important and common service of LBS is to provide the user of his location. In this paper we propose a method to cluster a period of GPS data into meaningful locations by using DBSCAN algorithm. With a time window constraint this method can even distinguish the locations of the same place where the user went at different time. The learned significant locations are important basis of further service, such as predicting the user's future movement, building the user's own map etc. At last, we introduce a prototype system based on the learning method to provide the place information where the user went before and the information is expressed in time-ordered and semantic landmarks directly.

Citation Download Citation

Jian Tang and Lingkui Meng "Learning significant locations from GPS data with time window", Proc. SPIE 6418, Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 64180J (28 October 2006); https://doi.org/10.1117/12.712609

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