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A Novel Framework for Personalized and Context-Aware Indoor Navigation Systems

Authors:
Attila Török
Tamás Helfenbein

Keywords: indoor navigation; context-awareness; location based services; pedestrian localization.

Abstract:
The recent indoor localization techniques use inertial sensors for position estimations in order to obtain a certain degree of freedom from RF solutions. Unfortunately, this dependency cannot be completely eliminated due to the cumulative errors introduced in the localization process; thus, RF or visual reference points are still necessary. In this paper we propose a novel approach for architectural design of indoor localization and navigation services by introducing a context-aware and extendable system framework. We exploit the ability to recognize certain human motion patterns and by using a scenario specific navigation language, for guiding the localization and position refinement process, we will be able to control the navigation on a much finer level. Therefore, in our system the reference points become needless or for scenarios with topological black holes at least the refinement process is automated, the user can be omitted from finding these points.

Pages: 60 to 63

Copyright: Copyright (c) IARIA, 2012

Publication date: October 21, 2012

Published in: conference

ISSN: 2308-3468

ISBN: 978-1-61208-229-5

Location: Venice, Italy

Dates: from October 21, 2012 to October 26, 2012