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...

Full description

Bibliographic Details
Main Authors: Thomas Seel, Jörg Raisch, Thomas Schauer
Format: Article
Language:English
Published: MDPI AG 2014-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/4/6891
id doaj-91fbbe9bf8f349d7a8645cc1eb81fa1a
record_format Article
spelling 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 AT thomasseel imubasedjointanglemeasurementforgaitanalysis
AT jorgraisch imubasedjointanglemeasurementforgaitanalysis
AT thomasschauer imubasedjointanglemeasurementforgaitanalysis
_version_ 1725003765207007232