Topology-based indoor localization by means of wifi fingerprinting with a computational intelligent classifier
- Menendez, P.; Campomanes, C.; Trawinsky, K.; Alonso, José María
- Year: 2011
- Type of Publication: In Proceedings
- Keywords: bagging; multi-classification; wifi localization
- Editor: IEEE
- Book title: 11th International conference on Intelligent System Design and Applications (ISDA)
- Pages: 1020-1025
- Address: Cordoba
- ISBN: 978-1-4577-1675-1
- Abstract:
- This paper introduces a new system for people localization in indoor environments. It is mainly based on an intelligent classifier able to distinguish among a set of predefined and well identified topological locations. We adopt a WiFi signal strength fingerprint approach where most effort is done during the training phase, while online execution is fast and effective. Our proposal has been tested in a real environment with data collected in five different experimental sessions. Achieved results are encouraging since they overcome those ones provided by the well-known nearest neighbour fingerprint matching algorithm, that is usually considered as baseline for WiFi localization.
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