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A Location Management System for Destination Prediction from Smartphone Sensors

Authors:
Sun-You Kim
Sung-Bae Cho

Keywords: Location management; location-based service; destination prediction; hidden Markov model

Abstract:
Several applications based on smartphones have been developed for user’s requirements. Among them, the location based services (LBS) are demanding to many people. As a result, location management systems become more important to manage the locations and acquire new information in places because location information can be obtained in diverse sensors. This paper proposes a location management system which manages the information of location and predicts a future location and moving path from the current sensor values. The proposed system consists of five modules. Three modules perform to manage the information of location and user’s context, and two modules predict future information about the locations. In order to show the feasibility of the proposed system, we conducted the evaluation on each module with a real dataset collected from mobile devices.

Pages: 233 to 239

Copyright: Copyright (c) IARIA, 2014

Publication date: August 24, 2014

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-353-7

Location: Rome, Italy

Dates: from August 24, 2014 to August 28, 2014