The active badge location system
ACM Transactions on Information Systems (TOIS)
C4.5: programs for machine learning
C4.5: programs for machine learning
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
MoteTrack: a robust, decentralized approach to RF-Based location tracking
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Accurate GSM indoor localization
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Mobility detection using everyday GSM traces
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Practical metropolitan-scale positioning for GSM phones
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
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Location is an important topic on Ambient Intelligence. Different techniques are used, alone or together, to determine the position of people and objects. One aspect of this problem concerns to indoor location. Various authors propose the analysis of Radio Frequency (RF) signatures as a solution for this challenge. An approach for indoor location is the use of RF signals acquired from a Global System for Mobile Communications (GSM) by Mobile Units(MU). In this paper we make a study based on around 485.000 signatures gathered from four buildings. We present our conclusions on the suitability and limitations of this approach for indoor location.