Next Article in Journal
Numerical Investigations on Electric Field Characteristics with Respect to Capacitive Detection of Free-Flying Droplets
Previous Article in Journal
Cross Layer Adaptation of Check Intervals in Low Power Listening MAC Protocols for Lifetime Improvement in Wireless Sensor Networks
Sensors 2012, 12(8), 10536-10549; doi:10.3390/s120810536
Article

Pedestrian Navigation Based on a Waist-Worn Inertial Sensor

* ,
,
 and
Received: 1 July 2012 / Revised: 17 July 2012 / Accepted: 25 July 2012 / Published: 3 August 2012
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [656 KB, uploaded 21 June 2014]   |   Browse Figures

Abstract

We present a waist-worn personal navigation system based on inertial measurement units. The device makes use of the human bipedal pattern to reduce position errors. We describe improved algorithms, based on detailed description of the heel strike biomechanics and its translation to accelerations of the body waist to estimate the periods of zero velocity, the step length, and the heading estimation. The experimental results show that we are able to support pedestrian navigation with the high-resolution positioning required for most applications.
Keywords: pedestrian dead-reckoning; inertial navigation; localization; location based services; ambulatory monitoring; human motion pedestrian dead-reckoning; inertial navigation; localization; location based services; ambulatory monitoring; human motion
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Alvarez, J.C.; Alvarez, D.; López, A.; González, R.C. Pedestrian Navigation Based on a Waist-Worn Inertial Sensor. Sensors 2012, 12, 10536-10549.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert