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Indoor Positioning System Based on Chest-Mounted IMU

Demand for indoor navigation systems has been rapidly increasing with regard to location-based services. As a cost-effective choice, inertial measurement unit (IMU)-based pedestrian dead reckoning (PDR) systems have been developed for years because they do not require external devices to be installe...

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Autores principales: Lu, Chuanhua, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359165/
https://www.ncbi.nlm.nih.gov/pubmed/30669617
http://dx.doi.org/10.3390/s19020420
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author Lu, Chuanhua
Uchiyama, Hideaki
Thomas, Diego
Shimada, Atsushi
Taniguchi, Rin-ichiro
author_facet Lu, Chuanhua
Uchiyama, Hideaki
Thomas, Diego
Shimada, Atsushi
Taniguchi, Rin-ichiro
author_sort Lu, Chuanhua
collection PubMed
description Demand for indoor navigation systems has been rapidly increasing with regard to location-based services. As a cost-effective choice, inertial measurement unit (IMU)-based pedestrian dead reckoning (PDR) systems have been developed for years because they do not require external devices to be installed in the environment. In this paper, we propose a PDR system based on a chest-mounted IMU as a novel installation position for body-suit-type systems. Since the IMU is mounted on a part of the upper body, the framework of the zero-velocity update cannot be applied because there are no periodical moments of zero velocity. Therefore, we propose a novel regression model for estimating step lengths only with accelerations to correctly compute step displacement by using the IMU data acquired at the chest. In addition, we integrated the idea of an efficient map-matching algorithm based on particle filtering into our system to improve positioning and heading accuracy. Since our system was designed for 3D navigation, which can estimate position in a multifloor building, we used a barometer to update pedestrian altitude, and the components of our map are designed to explicitly represent building-floor information. With our complete PDR system, we were awarded second place in 10 teams for the IPIN 2018 Competition Track 2, achieving a mean error of 5.2 m after the 800 m walking event.
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spelling pubmed-63591652019-02-06 Indoor Positioning System Based on Chest-Mounted IMU Lu, Chuanhua Uchiyama, Hideaki Thomas, Diego Shimada, Atsushi Taniguchi, Rin-ichiro Sensors (Basel) Article Demand for indoor navigation systems has been rapidly increasing with regard to location-based services. As a cost-effective choice, inertial measurement unit (IMU)-based pedestrian dead reckoning (PDR) systems have been developed for years because they do not require external devices to be installed in the environment. In this paper, we propose a PDR system based on a chest-mounted IMU as a novel installation position for body-suit-type systems. Since the IMU is mounted on a part of the upper body, the framework of the zero-velocity update cannot be applied because there are no periodical moments of zero velocity. Therefore, we propose a novel regression model for estimating step lengths only with accelerations to correctly compute step displacement by using the IMU data acquired at the chest. In addition, we integrated the idea of an efficient map-matching algorithm based on particle filtering into our system to improve positioning and heading accuracy. Since our system was designed for 3D navigation, which can estimate position in a multifloor building, we used a barometer to update pedestrian altitude, and the components of our map are designed to explicitly represent building-floor information. With our complete PDR system, we were awarded second place in 10 teams for the IPIN 2018 Competition Track 2, achieving a mean error of 5.2 m after the 800 m walking event. MDPI 2019-01-21 /pmc/articles/PMC6359165/ /pubmed/30669617 http://dx.doi.org/10.3390/s19020420 Text en © 2019 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lu, Chuanhua
Uchiyama, Hideaki
Thomas, Diego
Shimada, Atsushi
Taniguchi, Rin-ichiro
Indoor Positioning System Based on Chest-Mounted IMU
title Indoor Positioning System Based on Chest-Mounted IMU
title_full Indoor Positioning System Based on Chest-Mounted IMU
title_fullStr Indoor Positioning System Based on Chest-Mounted IMU
title_full_unstemmed Indoor Positioning System Based on Chest-Mounted IMU
title_short Indoor Positioning System Based on Chest-Mounted IMU
title_sort indoor positioning system based on chest-mounted imu
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359165/
https://www.ncbi.nlm.nih.gov/pubmed/30669617
http://dx.doi.org/10.3390/s19020420
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