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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2012-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/12/8/10536 |
_version_ | 1818037062748602368 |
---|---|
author | Rafael C. González Antonio López Diego Alvarez Juan Carlos Alvarez |
author_facet | Rafael C. González Antonio López Diego Alvarez Juan Carlos Alvarez |
author_sort | Rafael C. González |
collection | DOAJ |
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. |
first_indexed | 2024-12-10T07:20:52Z |
format | Article |
id | doaj.art-d0cb2559336943bfb80d01bf720ec480 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-12-10T07:20:52Z |
publishDate | 2012-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-d0cb2559336943bfb80d01bf720ec4802022-12-22T01:57:50ZengMDPI AGSensors1424-82202012-08-01128105361054910.3390/s120810536Pedestrian Navigation Based on a Waist-Worn Inertial SensorRafael C. GonzálezAntonio LópezDiego AlvarezJuan Carlos AlvarezWe 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.http://www.mdpi.com/1424-8220/12/8/10536pedestrian dead-reckoninginertial navigationlocalizationlocation based servicesambulatory monitoringhuman motion |
spellingShingle | Rafael C. González Antonio López Diego Alvarez Juan Carlos Alvarez Pedestrian Navigation Based on a Waist-Worn Inertial Sensor Sensors pedestrian dead-reckoning inertial navigation localization location based services ambulatory monitoring human motion |
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 | pedestrian dead-reckoning inertial navigation localization location based services ambulatory monitoring human motion |
url | http://www.mdpi.com/1424-8220/12/8/10536 |
work_keys_str_mv | AT rafaelcgonzalez pedestriannavigationbasedonawaistworninertialsensor AT antoniolopez pedestriannavigationbasedonawaistworninertialsensor AT diegoalvarez pedestriannavigationbasedonawaistworninertialsensor AT juancarlosalvarez pedestriannavigationbasedonawaistworninertialsensor |