Tutorial : implementation of a pedestrian tracker using foot-mounted inertial sensors

Fischer, Carl and Talkad Sukumar, Poorna and Hazas, Mike (2013) Tutorial : implementation of a pedestrian tracker using foot-mounted inertial sensors. IEEE Pervasive Computing, 12 (2). pp. 17-27. ISSN 1536-1268

[thumbnail of Matlab script, sample data and figures]
Zip (Matlab script, sample data and figures)
inertial_pdr.zip - Submitted Version
Available under License Creative Commons Attribution-ShareAlike.

Download (5MB)

Abstract

Wearable inertial sensors are a convenient way to track pedestrians in situations where other localisation systems fail. More and more researchers are using inertial pedestrian tracking as a component in more complex applications. But despite the many publications on the topic, and the increasing availability of inertial sensors, implementing a reasonably accurate tracker can be challenging for researchers without a background in inertial navigation and Kalman filtering. With this article, we aim to provide fellow researchers with a simple yet effective implementation which works out of the box, but with enough clear explanations and references to allow for further investigation if required. We discuss common mistakes and practical aspects, such as parameter tuning and choice of sensors, which we found to be lacking in other work. The Matlab implementation and a few sample recordings are available online at http://eis.comp.lancs.ac.uk/pdr/.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Pervasive Computing
Additional Information:
Accepted for publication on 2011-12-30. Scheduled publication in the April-June 2013 issue on "Tracking and Sensing in the Wild".
Uncontrolled Keywords:
/dk/atira/pure/core/keywords/computingcommunicationsandict
Subjects:
?? computing, communications and ictcomputational theory and mathematicssoftwarecomputer science applicationsqa75 electronic computers. computer science ??
ID Code:
57466
Deposited By:
Deposited On:
14 Aug 2012 16:02
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Jul 2024 23:31