Indoor positioning system based on chest-mounted IMU

研究成果: ジャーナルへの寄稿記事

抄録

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.

元の言語英語
記事番号420
ジャーナルSensors (Switzerland)
19
発行部数2
DOI
出版物ステータス出版済み - 1 2 2019

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Units of measurement
dead reckoning
chest
positioning
Thorax
navigation
Barometers
barometers
Somatotypes
Location based services
walking
Navigation systems
Human Body
Walking
installing
regression analysis
Navigation
estimating
costs
moments

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

これを引用

Indoor positioning system based on chest-mounted IMU. / Lu, Chuanhua; Uchiyama, Hideaki; Thomas, Diego Gabriel Francis; Shimada, Atsushi; Taniguchi, Rin-Ichiro.

:: Sensors (Switzerland), 巻 19, 番号 2, 420, 02.01.2019.

研究成果: ジャーナルへの寄稿記事

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