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Applying Classifiers in Indoor Location System: Profile on PlumX
Título : Applying Classifiers in Indoor Location System
Autor(es) : Villarrubia González, Gabriel
Rubio, Francisco
de Paz Santana, Juan F.
Bajo Pérez, Javier
Zato Domínguez, Carolina
Palabras clave : Computer Science
Fecha de publicación : 2013
Editor : Springer Science + Business Media
Citación : Trends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing. Volumen 221, pp. 53-58.
Resumen : Research in indoor location has acquired a growing importance during the recent years. The main objective is to obtain functional systems able of providing the most precise location, identification and guidance in real time. Currently, none of the existing indoor solutions have obtained location or navigation results as precise as the ones provided by the analog systems used outdoor, such as GPS. This paper presents an indoor location system based on Wi-Fi technology which, from the use of intensity maps and classifiers, allows effective and precise indoor location.
URI : http://hdl.handle.net/10366/135158
ISBN : 978-3-319-00562-1 (Print) / 978-3-319-00563-8 (Online)
ISSN : 2194-5357 (Print) / 2194-5365 (Online)
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