@conference{isda:menendez2011,
author = "P. Menendez and C. Campomanes and K. Trawinsky and Alonso, Jos{\'e} Mar{\'i}a",
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.",
address = "Cordoba",
booktitle = "11th International conference on Intelligent System Design and Applications (ISDA)",
editor = "IEEE",
isbn = "978-1-4577-1675-1",
keywords = "bagging;multi-classification;wifi localization",
pages = "1020-1025",
publisher = "IEEE",
title = "{T}opology-based indoor localization by means of wifi fingerprinting with a computational intelligent classifier",
year = "2011",
}