Literature DB >> 31787261

Validation of a low-cost inertial motion capture system for whole-body motion analysis.

X Robert-Lachaine1, H Mecheri2, A Muller2, C Larue2, A Plamondon2.   

Abstract

While some low-cost inertial motion capture (IMC) systems are now commercially available, generally, they have not been evaluated against gold standard optical motion capture (OMC). The objective was to validate the low-cost Neuron IMC system with OMC. Whole-body kinematics were recorded on five healthy subjects during manual handling of boxes for about 32 min while wearing 17 magnetic and inertial measurement units with Optotrak clusters serving as a reference. The kinematical model was calibrated anatomically for OMC and with poses for IMC. Local coordinate systems were aligned with angular velocities to dissociate differences due to technology or kinematical model. Descriptive statistics including the root mean square error (RMSE), coefficient of multiple correlation (CMC) and limits of agreement (LoA) were applied to the joint angle curves. The average technological error yielded 5.8° and 4.9° for RMSE, 0.87 and 0.96 for CMC and 0.4 ± 8.6° and -0.3 ± 6.0° for LoA about the frontal and transverse axes respectively, whereas the longitudinal axis yielded 10.5° for RMSE, 0.78 for CMC and 3.3 ± 13.1° for LoA. Differences due to technology and to the model contributed similarly to the total difference between IMC and OMC. For many joints and axes, RMSE stayed under 5°, CMC over 0.9 and LoA under 10°, especially for the transverse axis and lower limb. The Neuron low-cost IMC system showed potential for tracking complex human movements of long duration in a normal laboratory environment with a certain error level that may be suitable for many applications involving large IMC distribution.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accuracy; Affordable; Error; Inertial sensor; Magnetic and inertial measurement unit (MIMU)

Year:  2019        PMID: 31787261     DOI: 10.1016/j.jbiomech.2019.109520

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  7 in total

1.  A Kinematic Information Acquisition Model That Uses Digital Signals from an Inertial and Magnetic Motion Capture System.

Authors:  Andrea Catherine Alarcón-Aldana; Mauro Callejas-Cuervo; Teodiano Bastos-Filho; Antônio Padilha Lanari Bó
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

2.  Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology.

Authors:  Benjamin R Hindle; Justin W L Keogh; Anna V Lorimer
Journal:  Sensors (Basel)       Date:  2020-08-15       Impact factor: 3.576

Review 3.  The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis.

Authors:  Peter Beshara; David B Anderson; Matthew Pelletier; William R Walsh
Journal:  Sensors (Basel)       Date:  2021-12-08       Impact factor: 3.576

4.  Evaluation of a New Simplified Inertial Sensor Method against Electrogoniometer for Measuring Wrist Motion in Occupational Studies.

Authors:  Karnica Manivasagam; Liyun Yang
Journal:  Sensors (Basel)       Date:  2022-02-21       Impact factor: 3.576

5.  Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling.

Authors:  Antoine Muller; Hakim Mecheri; Philippe Corbeil; André Plamondon; Xavier Robert-Lachaine
Journal:  Sensors (Basel)       Date:  2022-08-26       Impact factor: 3.847

6.  Wearable Sensor Clothing for Body Movement Measurement during Physical Activities in Healthcare.

Authors:  Armands Ancans; Modris Greitans; Ricards Cacurs; Beate Banga; Artis Rozentals
Journal:  Sensors (Basel)       Date:  2021-03-16       Impact factor: 3.576

7.  Validation of an Embedded Motion-Capture and EMG Setup for the Analysis of Musculoskeletal Disorder Risks during Manhole Cover Handling.

Authors:  Rémy Hubaut; Romain Guichard; Julia Greenfield; Mathias Blandeau
Journal:  Sensors (Basel)       Date:  2022-01-07       Impact factor: 3.576

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.