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Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor

In this paper, we researched Pedestrian Dead Reckoning (PDR) with one foot-mounted IMU sensor. The issues of PDR are magnetism noise and accumulated error due to the noise included in acceleration and gyro data. Two methods are proposed in this paper. First is the gait-phase-estimation method with p...

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Detalles Bibliográficos
Autores principales: Yamagishi, Shunsei, Jing, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027260/
https://www.ncbi.nlm.nih.gov/pubmed/35457914
http://dx.doi.org/10.3390/mi13040610
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author Yamagishi, Shunsei
Jing, Lei
author_facet Yamagishi, Shunsei
Jing, Lei
author_sort Yamagishi, Shunsei
collection PubMed
description In this paper, we researched Pedestrian Dead Reckoning (PDR) with one foot-mounted IMU sensor. The issues of PDR are magnetism noise and accumulated error due to the noise included in acceleration and gyro data. Two methods are proposed in this paper. First is the gait-phase-estimation method with pitch angle for the Zero Velocity Update algorithm. Second is a method for avoiding accumulated errors by updating the roll and pitch angles with acceleration. The two experiments were conducted to examine the error of gait-phase estimation and distance estimations. The relative error of distance was about 7.40% in the case of walking straight and about 12.27% in the case of a shifting travel direction.
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spelling pubmed-90272602022-04-23 Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor Yamagishi, Shunsei Jing, Lei Micromachines (Basel) Article In this paper, we researched Pedestrian Dead Reckoning (PDR) with one foot-mounted IMU sensor. The issues of PDR are magnetism noise and accumulated error due to the noise included in acceleration and gyro data. Two methods are proposed in this paper. First is the gait-phase-estimation method with pitch angle for the Zero Velocity Update algorithm. Second is a method for avoiding accumulated errors by updating the roll and pitch angles with acceleration. The two experiments were conducted to examine the error of gait-phase estimation and distance estimations. The relative error of distance was about 7.40% in the case of walking straight and about 12.27% in the case of a shifting travel direction. MDPI 2022-04-13 /pmc/articles/PMC9027260/ /pubmed/35457914 http://dx.doi.org/10.3390/mi13040610 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yamagishi, Shunsei
Jing, Lei
Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor
title Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor
title_full Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor
title_fullStr Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor
title_full_unstemmed Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor
title_short Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor
title_sort pedestrian dead reckoning with low-cost foot-mounted imu sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027260/
https://www.ncbi.nlm.nih.gov/pubmed/35457914
http://dx.doi.org/10.3390/mi13040610
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