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Pedestrian Navigation Based on a Waist-Worn Inertial Sensor
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3472842/ https://www.ncbi.nlm.nih.gov/pubmed/23112614 http://dx.doi.org/10.3390/s120810536 |
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author | Alvarez, Juan Carlos Alvarez, Diego López, Antonio González, Rafael C. |
author_facet | Alvarez, Juan Carlos Alvarez, Diego López, Antonio González, Rafael C. |
author_sort | Alvarez, Juan Carlos |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3472842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-34728422012-10-30 Pedestrian Navigation Based on a Waist-Worn Inertial Sensor Alvarez, Juan Carlos Alvarez, Diego López, Antonio González, Rafael C. Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2012-08-03 /pmc/articles/PMC3472842/ /pubmed/23112614 http://dx.doi.org/10.3390/s120810536 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Alvarez, Juan Carlos Alvarez, Diego López, Antonio González, Rafael C. Pedestrian Navigation Based on a Waist-Worn Inertial Sensor |
title | Pedestrian Navigation Based on a Waist-Worn Inertial Sensor |
title_full | Pedestrian Navigation Based on a Waist-Worn Inertial Sensor |
title_fullStr | Pedestrian Navigation Based on a Waist-Worn Inertial Sensor |
title_full_unstemmed | Pedestrian Navigation Based on a Waist-Worn Inertial Sensor |
title_short | Pedestrian Navigation Based on a Waist-Worn Inertial Sensor |
title_sort | pedestrian navigation based on a waist-worn inertial sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3472842/ https://www.ncbi.nlm.nih.gov/pubmed/23112614 http://dx.doi.org/10.3390/s120810536 |
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