Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters

The aim of this study was to assess the validity and test-retest reliability of an inertial measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a 6-min walking test and were instrumented with seven IMUs and retroreflective markers. A kinematic approach was used to...

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Main Authors: Wolfgang Teufl, Michael Lorenz, Markus Miezal, Bertram Taetz, Michael Fröhlich, Gabriele Bleser
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/19/1/38
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spelling doaj-47e15da9cd3b4d6fb290cfd46dd0bbcb2020-11-25T01:27:09ZengMDPI AGSensors1424-82202018-12-011913810.3390/s19010038s19010038Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal ParametersWolfgang Teufl0Michael Lorenz1Markus Miezal2Bertram Taetz3Michael Fröhlich4Gabriele Bleser5Junior Research Group wearHEALTH, Technische Universität Kaiserslautern, Gottlieb-Daimler-Str. 48, 67663 Kaiserslautern, GermanyJunior Research Group wearHEALTH, Technische Universität Kaiserslautern, Gottlieb-Daimler-Str. 48, 67663 Kaiserslautern, GermanyJunior Research Group wearHEALTH, Technische Universität Kaiserslautern, Gottlieb-Daimler-Str. 48, 67663 Kaiserslautern, GermanyJunior Research Group wearHEALTH, Technische Universität Kaiserslautern, Gottlieb-Daimler-Str. 48, 67663 Kaiserslautern, GermanyDepartment of Sports Science, Technische Universität Kaiserslautern, Erwin-Schrödinger-Str. 57, 67663 Kaiserslautern, GermanyJunior Research Group wearHEALTH, Technische Universität Kaiserslautern, Gottlieb-Daimler-Str. 48, 67663 Kaiserslautern, GermanyThe aim of this study was to assess the validity and test-retest reliability of an inertial measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a 6-min walking test and were instrumented with seven IMUs and retroreflective markers. A kinematic approach was used to estimate the initial and terminal contact events in real-time. Based on these events twelve spatio-temporal parameters (STP) were calculated. A marker based optical motion capture (OMC) system provided the reference. Event-detection rate was about 99%. Detection offset was below 0.017 s. Relative root mean square error (RMSE) ranged from 0.90% to 4.40% for most parameters. However, the parameters that require spatial information of both feet showed higher errors. Step length showed a relative RMSE of 6.69%. Step width and swing width revealed the highest relative RMSE (34.34% and 35.20%). Test-retest results ranged from 0.67 to 0.92, except for the step width (0.25). Summarizing, it appears that the parameters describing the lateral distance between the feet need further improvement. However, the results of the validity and reliability of the IMU system encourage its validation in clinical settings as well as further research.http://www.mdpi.com/1424-8220/19/1/38accelerometergyroscopeinertial measurement unitambulatory motion analysisgait parameterswearable sensors
collection DOAJ
language English
format Article
sources DOAJ
author Wolfgang Teufl
Michael Lorenz
Markus Miezal
Bertram Taetz
Michael Fröhlich
Gabriele Bleser
spellingShingle Wolfgang Teufl
Michael Lorenz
Markus Miezal
Bertram Taetz
Michael Fröhlich
Gabriele Bleser
Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
Sensors
accelerometer
gyroscope
inertial measurement unit
ambulatory motion analysis
gait parameters
wearable sensors
author_facet Wolfgang Teufl
Michael Lorenz
Markus Miezal
Bertram Taetz
Michael Fröhlich
Gabriele Bleser
author_sort Wolfgang Teufl
title Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_short Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_full Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_fullStr Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_full_unstemmed Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_sort towards inertial sensor based mobile gait analysis: event-detection and spatio-temporal parameters
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2018-12-01
description The aim of this study was to assess the validity and test-retest reliability of an inertial measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a 6-min walking test and were instrumented with seven IMUs and retroreflective markers. A kinematic approach was used to estimate the initial and terminal contact events in real-time. Based on these events twelve spatio-temporal parameters (STP) were calculated. A marker based optical motion capture (OMC) system provided the reference. Event-detection rate was about 99%. Detection offset was below 0.017 s. Relative root mean square error (RMSE) ranged from 0.90% to 4.40% for most parameters. However, the parameters that require spatial information of both feet showed higher errors. Step length showed a relative RMSE of 6.69%. Step width and swing width revealed the highest relative RMSE (34.34% and 35.20%). Test-retest results ranged from 0.67 to 0.92, except for the step width (0.25). Summarizing, it appears that the parameters describing the lateral distance between the feet need further improvement. However, the results of the validity and reliability of the IMU system encourage its validation in clinical settings as well as further research.
topic accelerometer
gyroscope
inertial measurement unit
ambulatory motion analysis
gait parameters
wearable sensors
url http://www.mdpi.com/1424-8220/19/1/38
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