Research Article
Processing Location Data for Ambient Intelligence Applications
@INPROCEEDINGS{10.1007/978-3-642-23902-1_9, author={Samuel Bello and Jared Hawkey and Sofia Oliveira and Olivier Perriquet and Nuno Correia}, title={Processing Location Data for Ambient Intelligence Applications}, proceedings={Ambient Media and Systems. Second International ICST Conference, AMBI-SYS 2011, Porto, Portugal, March 24-25, 2011, Revised Selected Papers}, proceedings_a={AMBI-SYS}, year={2012}, month={5}, keywords={Ambient Intelligence Location Data Clustering Visualization}, doi={10.1007/978-3-642-23902-1_9} }- Samuel Bello
Jared Hawkey
Sofia Oliveira
Olivier Perriquet
Nuno Correia
Year: 2012
Processing Location Data for Ambient Intelligence Applications
AMBI-SYS
Springer
DOI: 10.1007/978-3-642-23902-1_9
Abstract
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.