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Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera

Published: 07 October 2003 Publication History

Abstract

In this paper, we propose a method of personalpositioning for a wearable Augmented Reality (AR)system that allows a user to freely move around indoorsand outdoors.The user is equipped with self-containedsensors, a wearable camera, an inertial headtracker and display.The method is based on sensorfusion of estimates for relative displacement causedby human walking locomotion and estimates for absoluteposition and orientation within a Kalman filteringframework.The former is based on intensive analysisof human walking behavior using self-containedsensors.The latter is based on image matching ofvideo frames from a wearable camera with an imagedatabase that was prepared beforehand.

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ISMAR '03: Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
October 2003
365 pages
ISBN:0769520065

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IEEE Computer Society

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Published: 07 October 2003

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Author Tags

  1. human walking analysis
  2. pedometer
  3. personal positioning
  4. sensor fusion

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  • (2014)It's the human that mattersProceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.4108/icst.mobiquitous.2014.257920(70-79)Online publication date: 2-Dec-2014
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  • (2011)Handheld augmented reality indoor navigation with activity-based instructionsProceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services10.1145/2037373.2037406(211-220)Online publication date: 30-Aug-2011
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