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Context-aware Indoor-Outdoor Detection for Seamless Smartphone Positioning

Authors:
Niklas Kroll
Michael Jäger
Sebastian Sueß

Keywords: IO Detection; Smartphone Positioning; Indoor Positioning; Seamless Transition; Context-aware Computing

Abstract:
Localization for smartphones typically relies on distinct approaches for indoor and outdoor contexts, since the Global Positioning System (GPS), which is typically used outdoors, does not perform well within buildings. A localization system supporting both needs to detect indoor-outdoor transitions automatically in order to provide seamless operation across the different contexts. This paper proposes a transition detection method that combines GPS signal evaluation with a GPS-less sensor-based machine-learning scheme in order to provide maximal accuracy, reliability and adaptability to new environments without unneccesary power consumption.

Pages: 106 to 108

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-469-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016