Processing Location Data for Ambient Intelligence Applications

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 70)


The paper presents contributions in the area of location data processing for pattern discovery. This work forms part of a project which explores an ambient intelligence application designed to present individual users with an overview of their time usage patterns. The application uses location data to build interfaces and visualizations which highlight changes in personal routines, with the aim of stimulating reflection. Data is processed to extract significant places and temporal information about them. The paper presents the questions that can be answered by a data processing layer and the strategy to handle the different types of queries. Location data is processed to identify significant locations, discover patterns and predict future behavior.


Ambient Intelligence Location Data Clustering Visualization 


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  1. 1.
    Ashbrook, D., Starner, T.: Using GPS to learn significant locations and predict movement across multiple users. Personal Ubiquitous Computing 7, 5 (2003)CrossRefGoogle Scholar
  2. 2.
    Correia, N., Rodrigues, A., Hawkey, J., Oliveira, S., Amorim, T.: A Mobile System to Visualize Patterns of Everyday Life. In: ISAmI 2011 - International Symposium on Ambient Intelligence, Salamanca, Spain (2011)Google Scholar
  3. 3.
    Li, Q., Zheng, Y., Xie, X., Chen, Y., Liu, W., Ma, W.: Mining User Similarity Based on Location History. In: Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 1–10. ACM, New York (2008)Google Scholar
  4. 4.
    Zhou, C., Frankowski, D., Ludford, P., Shekhar, S., Terveen, L.: Discovering Personal Gazetteers: An Interactive Clustering Approach. In: Proceedings of the 12th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, New York (2004)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2011

Authors and Affiliations

  1. 1.CITI and DI/FCT/UNLCaparicaPortugal
  2. 2.CADA, Ed. InterpressLisbonPortugal

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