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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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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