DocumentCode :
2078
Title :
Tutorial: Implementing a Pedestrian Tracker Using Inertial Sensors
Author :
Fischer, Carl ; Talkad Sukumar, Poorna ; Hazas, Mike
Author_Institution :
Lancaster University, UK
Volume :
12
Issue :
2
fYear :
2013
fDate :
April-June 2013
Firstpage :
17
Lastpage :
27
Abstract :
Shoe-mounted inertial sensors offer a convenient way to track pedestrians in situations where other localization systems fail. This tutorial outlines a simple yet effective approach for implementing a reasonably accurate tracker. This Web extra presents the Matlab implementation and a few sample recordings for implementing the pedestrian inertial tracking system using an error-state Kalman filter for zero-velocity updates (ZUPTs) and orientation estimation.
Keywords :
Accelerometers; Gyroscopes; Legged locomotion; Mobile radio mobility management; Navigation; Sensors; Tracking; Tutorials; Ubiquitous computing; Wearable computers; Accelerometers; Gyroscopes; Kalman filtering; Legged locomotion; Mobile radio mobility management; Navigation; Sensors; Tracking; Tutorials; Ubiquitous computing; Wearable computers; inertial navigation; pedestrian tracking; pervasive computing;
fLanguage :
English
Journal_Title :
Pervasive Computing, IEEE
Publisher :
ieee
ISSN :
1536-1268
Type :
jour
DOI :
10.1109/MPRV.2012.16
Filename :
6127851
Link To Document :
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