A Multi-Mode Dead Reckoning System for Pedestrian Tracking Using Smartphones

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dc.contributor.author Tian, Qinglin en
dc.contributor.author Salcic, Zoran en
dc.contributor.author Wang, Kevin I-Kai en
dc.contributor.author Pan, Y en
dc.date.accessioned 2016-08-05T05:57:10Z en
dc.date.issued 2016-04 en
dc.identifier.citation IEEE Sensors Journal, 2016, 16 (7), pp. 2079 - 2093 en
dc.identifier.issn 1530-437X en
dc.identifier.uri http://hdl.handle.net/2292/29832 en
dc.description.abstract This paper proposes an approach for pedestrian tracking using dead reckoning enhanced with a mode detection using a standard smartphone. The mode represents a specific state of carrying device, and it is automatically detected while a person is walking. This paper presents a new approach, which extends and enhances previous methods by identifying in real-time three typical modes of carrying the device and using the identified mode to enhance tracking accuracy. The way of carrying the device in all modes is unconstrained to offer reliable person-independent tracking. Based on the identification of modes, a lightweight step-based tracking algorithm is developed with a novel step length estimation model. The tracking system is implemented on a commercial off-the-shelf smartphone equipped with a built-in inertial measurement unit with 3-D accelerometer and gyroscope. It achieves real-time tracking and localization performance with an average position accuracy of 98.91%. en
dc.relation.ispartofseries IEEE Sensors Journal en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title A Multi-Mode Dead Reckoning System for Pedestrian Tracking Using Smartphones en
dc.type Journal Article en
dc.identifier.doi 10.1109/JSEN.2015.2510364 en
pubs.issue 7 en
pubs.begin-page 2079 en
pubs.volume 16 en
pubs.end-page 2093 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 525121 en
pubs.org-id Engineering en
pubs.org-id Department of Electrical, Computer and Software Engineering en
dc.identifier.eissn 2379-9153 en
pubs.record-created-at-source-date 2016-08-05 en


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