Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations

Magneto-Inertial Measurement Unit sensors (MIMU) display high potential for the quantitative evaluation of upper limb kinematics, as they allow monitoring ambulatory measurements. The sensor-to-segment calibration step, consisting of establishing the relation between MIMU sensors and human segments,...

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Main Authors: Brice Bouvier, Sonia Duprey, Laurent Claudon, Raphaël Dumas, Adriana Savescu
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/8/18813
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author Brice Bouvier
Sonia Duprey
Laurent Claudon
Raphaël Dumas
Adriana Savescu
author_facet Brice Bouvier
Sonia Duprey
Laurent Claudon
Raphaël Dumas
Adriana Savescu
author_sort Brice Bouvier
collection DOAJ
description Magneto-Inertial Measurement Unit sensors (MIMU) display high potential for the quantitative evaluation of upper limb kinematics, as they allow monitoring ambulatory measurements. The sensor-to-segment calibration step, consisting of establishing the relation between MIMU sensors and human segments, plays an important role in the global accuracy of joint angles. The aim of this study was to compare sensor-to-segment calibrations for the MIMU-based estimation of wrist, elbow, and shoulder joint angles, by examining trueness (“close to the reference”) and precision (reproducibility) validity criteria. Ten subjects performed five sessions with three different operators. Three classes of calibrations were studied: segment axes equal to technical MIMU axes (TECH), segment axes generated during a static pose (STATIC), and those generated during functional movements (FUNCT). The calibrations were compared during the maximal uniaxial movements of each joint, plus an extra multi-joint movement. Generally, joint angles presented good trueness and very good precision in the range 5°–10°. Only small discrepancy between calibrations was highlighted, with the exception of a few cases. The very good overall accuracy (trueness and precision) of MIMU-based joint angle data seems to be more dependent on the level of rigor of the experimental procedure (operator training) than on the choice of calibration itself.
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spelling doaj.art-1ba91ea55c81499191988bd5b640fd9e2022-12-22T04:25:19ZengMDPI AGSensors1424-82202015-07-01158188131883310.3390/s150818813s150818813Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment CalibrationsBrice Bouvier0Sonia Duprey1Laurent Claudon2Raphaël Dumas3Adriana Savescu4Institut National de Recherche et de Sécurité (INRS), 54519 Vandoeuvre-lès-Nancy, FranceUniversité de Lyon, F-69622 Lyon, FranceInstitut National de Recherche et de Sécurité (INRS), 54519 Vandoeuvre-lès-Nancy, FranceUniversité de Lyon, F-69622 Lyon, FranceInstitut National de Recherche et de Sécurité (INRS), 54519 Vandoeuvre-lès-Nancy, FranceMagneto-Inertial Measurement Unit sensors (MIMU) display high potential for the quantitative evaluation of upper limb kinematics, as they allow monitoring ambulatory measurements. The sensor-to-segment calibration step, consisting of establishing the relation between MIMU sensors and human segments, plays an important role in the global accuracy of joint angles. The aim of this study was to compare sensor-to-segment calibrations for the MIMU-based estimation of wrist, elbow, and shoulder joint angles, by examining trueness (“close to the reference”) and precision (reproducibility) validity criteria. Ten subjects performed five sessions with three different operators. Three classes of calibrations were studied: segment axes equal to technical MIMU axes (TECH), segment axes generated during a static pose (STATIC), and those generated during functional movements (FUNCT). The calibrations were compared during the maximal uniaxial movements of each joint, plus an extra multi-joint movement. Generally, joint angles presented good trueness and very good precision in the range 5°–10°. Only small discrepancy between calibrations was highlighted, with the exception of a few cases. The very good overall accuracy (trueness and precision) of MIMU-based joint angle data seems to be more dependent on the level of rigor of the experimental procedure (operator training) than on the choice of calibration itself.http://www.mdpi.com/1424-8220/15/8/18813sensor-to-segment calibrationambulatory systemjoint anglemagneto-inertial measurement unit sensorsaccuracy
spellingShingle Brice Bouvier
Sonia Duprey
Laurent Claudon
Raphaël Dumas
Adriana Savescu
Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations
Sensors
sensor-to-segment calibration
ambulatory system
joint angle
magneto-inertial measurement unit sensors
accuracy
title Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations
title_full Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations
title_fullStr Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations
title_full_unstemmed Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations
title_short Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations
title_sort upper limb kinematics using inertial and magnetic sensors comparison of sensor to segment calibrations
topic sensor-to-segment calibration
ambulatory system
joint angle
magneto-inertial measurement unit sensors
accuracy
url http://www.mdpi.com/1424-8220/15/8/18813
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