IMU-Based Joint Angle Measurement for Gait Analysis
This contribution is concerned with joint angle calculation based on inertial measurement data in the context of human motion analysis. Unlike most robotic devices, the human body lacks even surfaces and right angles. Therefore, we focus on methods that avoid assuming certain orientations in which t...
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doaj-91fbbe9bf8f349d7a8645cc1eb81fa1a2020-11-25T01:49:57ZengMDPI AGSensors1424-82202014-04-011446891690910.3390/s140406891s140406891IMU-Based Joint Angle Measurement for Gait AnalysisThomas Seel0Jörg Raisch1Thomas Schauer2Control Systems Group (Fachgebiet Regelungssysteme), Technische Universität Berlin, 10623 Berlin, GermanyControl Systems Group (Fachgebiet Regelungssysteme), Technische Universität Berlin, 10623 Berlin, GermanyControl Systems Group (Fachgebiet Regelungssysteme), Technische Universität Berlin, 10623 Berlin, GermanyThis contribution is concerned with joint angle calculation based on inertial measurement data in the context of human motion analysis. Unlike most robotic devices, the human body lacks even surfaces and right angles. Therefore, we focus on methods that avoid assuming certain orientations in which the sensors are mounted with respect to the body segments. After a review of available methods that may cope with this challenge, we present a set of new methods for: (1) joint axis and position identification; and (2) flexion/extension joint angle measurement. In particular, we propose methods that use only gyroscopes and accelerometers and, therefore, do not rely on a homogeneous magnetic field. We provide results from gait trials of a transfemoral amputee in which we compare the inertial measurement unit (IMU)-based methods to an optical 3D motion capture system. Unlike most authors, we place the optical markers on anatomical landmarks instead of attaching them to the IMUs. Root mean square errors of the knee flexion/extension angles are found to be less than 1° on the prosthesis and about 3° on the human leg. For the plantar/dorsiflexion of the ankle, both deviations are about 1°.http://www.mdpi.com/1424-8220/14/4/6891inertial measurement unitsgait analysisgyroscopes and accelerometersavoid magnetometersexploit kinematic constraintssensor-to-segment mountingjoint axis and position identificationjoint angle measurementvalidation against optical gait analysisvalidation on prosthetic and human leg |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thomas Seel Jörg Raisch Thomas Schauer |
spellingShingle |
Thomas Seel Jörg Raisch Thomas Schauer IMU-Based Joint Angle Measurement for Gait Analysis Sensors inertial measurement units gait analysis gyroscopes and accelerometers avoid magnetometers exploit kinematic constraints sensor-to-segment mounting joint axis and position identification joint angle measurement validation against optical gait analysis validation on prosthetic and human leg |
author_facet |
Thomas Seel Jörg Raisch Thomas Schauer |
author_sort |
Thomas Seel |
title |
IMU-Based Joint Angle Measurement for Gait Analysis |
title_short |
IMU-Based Joint Angle Measurement for Gait Analysis |
title_full |
IMU-Based Joint Angle Measurement for Gait Analysis |
title_fullStr |
IMU-Based Joint Angle Measurement for Gait Analysis |
title_full_unstemmed |
IMU-Based Joint Angle Measurement for Gait Analysis |
title_sort |
imu-based joint angle measurement for gait analysis |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2014-04-01 |
description |
This contribution is concerned with joint angle calculation based on inertial measurement data in the context of human motion analysis. Unlike most robotic devices, the human body lacks even surfaces and right angles. Therefore, we focus on methods that avoid assuming certain orientations in which the sensors are mounted with respect to the body segments. After a review of available methods that may cope with this challenge, we present a set of new methods for: (1) joint axis and position identification; and (2) flexion/extension joint angle measurement. In particular, we propose methods that use only gyroscopes and accelerometers and, therefore, do not rely on a homogeneous magnetic field. We provide results from gait trials of a transfemoral amputee in which we compare the inertial measurement unit (IMU)-based methods to an optical 3D motion capture system. Unlike most authors, we place the optical markers on anatomical landmarks instead of attaching them to the IMUs. Root mean square errors of the knee flexion/extension angles are found to be less than 1° on the prosthesis and about 3° on the human leg. For the plantar/dorsiflexion of the ankle, both deviations are about 1°. |
topic |
inertial measurement units gait analysis gyroscopes and accelerometers avoid magnetometers exploit kinematic constraints sensor-to-segment mounting joint axis and position identification joint angle measurement validation against optical gait analysis validation on prosthetic and human leg |
url |
http://www.mdpi.com/1424-8220/14/4/6891 |
work_keys_str_mv |
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