Citation

Alvarez JC, Alvarez D, López A, González RC. Sensors (Basel) 2012; 12(8): 10536-10549.

Affiliation

Multisensor Systems & Robotics Lab (SiMuR), Department of Electrical and Computer Engineering, University of Oviedo, Campus de Gijón, Edificio n°2, Gijón 33204, Spain; E-Mails: dalvarez@uniovi.es (D.A.); amlopez@uniovi.es (A.L.); corsino@uniovi.es (R.C.G.).

Copyright

(Copyright © 2012, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s120810536

PMID

23112614

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.

Language: en