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Movement pattern recognition assisted map matching for pedestrian/ wheelchair navigation

Ren, M and Karimi, HA (2012) Movement pattern recognition assisted map matching for pedestrian/ wheelchair navigation. Journal of Navigation, 65 (4). 617 - 633. ISSN 0373-4633

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Today's mobile technology features several sensors that when integrated can provide ubiquitous navigation assistance to pedestrians including wheelchair users. Common sensors found in most smartphones are Global Positioning System (GPS), accelerometer, and compass. In this paper, a user's movement pattern recognition algorithm to improve map matching efficiency and accuracy in pedestrian/wheelchair navigation systems/services is discussed. The algorithm integrates GPS positions, orientation data from compass, and movement states recognized from accelerometer data in a client/server architecture. The algorithm is tested in an Android mobile phone, and the results show that the proposed map matching algorithm is efficient and provides good accuracy. © 2012 The Royal Institute of Navigation.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Ren, M
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Date: 1 October 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Journal of Navigation
Volume: 65
Number: 4
Page Range: 617 - 633
DOI or Unique Handle: 10.1017/s0373463312000252
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 0373-4633
Date Deposited: 25 Jun 2013 16:53
Last Modified: 11 Apr 2020 01:55


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