Publication type: Conference paper
Type of review: No review
Title: Battery-efficient transportation mode detection on mobile devices
Authors: Bloch, Andreas
Erdin, Robert
Meyer, Sonja
Keller, Thomas
de Spindler, Alexandre
DOI: 10.1109/MDM.2015.16
Proceedings: MDM '15 Proceedings of the 2015 16th IEEE International Conference on Mobile Data Management
Page(s): 185
Pages to: 190
Conference details: 16th IEEE International Conference on Mobile Data Management, Pittsburgh, 15-18 June 2015
Issue Date: 2015
Publisher / Ed. Institution: IEEE
Publisher / Ed. Institution: Los Alamitos
ISBN: 978-1-4799-9972-9
ISSN: 1551-6245
Language: English
Subjects: Framework; Transportation means detection; Battery-efficiency; Mobile device
Subject (DDC): 004: Computer science
Abstract: The ubiquitous presence of sensor-rich smartphones offers excellent opportunities to introspect individuals' contexts and activities such as the utilized modes of transport. Most of the current systems inferring transportation modes involve continuous sensing of GPS or acceleration modules, which inconveniently lead to an accelerated battery discharge. In response to this problem, this paper presents a more battery-efficient solution for the detection of transport modes. The proposed approach introduces an additional component to recognize users' mobility states, which are discriminated between stationary and moving based on cellular network information.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Management and Law
Organisational Unit: Institute of Business Information Technology (IWI)
Appears in collections:Publikationen School of Management and Law

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