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A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems
In pedestrian navigation systems, the position of a pedestrian is computed using an inertial navigation algorithm. In the algorithm, the zero velocity updating plays an important role, where zero velocity intervals are detected and the velocity error is reset. To use the zero velocity updating, it i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3230943/ https://www.ncbi.nlm.nih.gov/pubmed/22163402 http://dx.doi.org/10.3390/s101009163 |
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author | Park, Sang Kyeong Suh, Young Soo |
author_facet | Park, Sang Kyeong Suh, Young Soo |
author_sort | Park, Sang Kyeong |
collection | PubMed |
description | In pedestrian navigation systems, the position of a pedestrian is computed using an inertial navigation algorithm. In the algorithm, the zero velocity updating plays an important role, where zero velocity intervals are detected and the velocity error is reset. To use the zero velocity updating, it is necessary to detect zero velocity intervals reliably. A new zero detection algorithm is proposed in the paper, where only one gyroscope value is used. A Markov model is constructed using segmentation of gyroscope outputs instead of using gyroscope outputs directly, which makes the zero velocity detection more reliable. |
format | Online Article Text |
id | pubmed-3230943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32309432011-12-07 A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems Park, Sang Kyeong Suh, Young Soo Sensors (Basel) Article In pedestrian navigation systems, the position of a pedestrian is computed using an inertial navigation algorithm. In the algorithm, the zero velocity updating plays an important role, where zero velocity intervals are detected and the velocity error is reset. To use the zero velocity updating, it is necessary to detect zero velocity intervals reliably. A new zero detection algorithm is proposed in the paper, where only one gyroscope value is used. A Markov model is constructed using segmentation of gyroscope outputs instead of using gyroscope outputs directly, which makes the zero velocity detection more reliable. Molecular Diversity Preservation International (MDPI) 2010-10-13 /pmc/articles/PMC3230943/ /pubmed/22163402 http://dx.doi.org/10.3390/s101009163 Text en © 2010 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 Park, Sang Kyeong Suh, Young Soo A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems |
title | A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems |
title_full | A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems |
title_fullStr | A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems |
title_full_unstemmed | A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems |
title_short | A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems |
title_sort | zero velocity detection algorithm using inertial sensors for pedestrian navigation systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3230943/ https://www.ncbi.nlm.nih.gov/pubmed/22163402 http://dx.doi.org/10.3390/s101009163 |
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