Literature DB >> 20353265

Accuracy of inertial motion sensors in static, quasistatic, and complex dynamic motion.

Alison Godwin1, Michael Agnew, Joan Stevenson.   

Abstract

Inertial motion sensors (IMSs) combine three sensors to produce a reportedly stable and accurate orientation estimate in three dimensions. Although accuracy has been reported within the range of 2 deg of error by manufacturers, the sensors are rarely tested in the challenging motion present in human motion. Their accuracy was tested in static, quasistatic, and dynamic situations against gold-standard Vicon camera data. It was found that static and quasistatic rms error was even less than manufacturers' technical specifications. Quasistatic rms error was minimal at 0.3 deg (+/-0.15 deg SD) on the roll axis, 0.29 deg (+/-0.20 deg SD) on the pitch axis, and 0.73 deg (+/-0.81 deg SD) on the yaw axis. The dynamic rms error was between 1.9 deg and 3.5 deg on the main axes of motion but it increased considerably on off-axis during planar pendulum motion. Complex arm motion in the forward reaching plane proved to be a greater challenge for the sensors to track but results are arguably better than previously reported studies considering the large range of motion used.

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Year:  2009        PMID: 20353265     DOI: 10.1115/1.4000109

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  24 in total

1.  Comparative Analysis of Inertial Sensor to Optical Motion Capture System Performance in Push-Pull Exertion Postures.

Authors:  Sol Lim; Andrea Case; Clive D'Souza
Journal:  Proc Hum Factors Ergon Soc Annu Meet       Date:  2016-09-15

2.  Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis.

Authors:  Xavier Robert-Lachaine; Hakim Mecheri; Christian Larue; André Plamondon
Journal:  Med Biol Eng Comput       Date:  2016-07-05       Impact factor: 2.602

3.  Functional calibration does not improve the concurrent validity of magneto-inertial wearable sensor-based thorax and lumbar angle measurements when compared with retro-reflective motion capture.

Authors:  Daniel S Cottam; Amity C Campbell; Paul C Davey; Peter Kent; Bruce C Elliott; Jacqueline A Alderson
Journal:  Med Biol Eng Comput       Date:  2021-09-16       Impact factor: 2.602

4.  Accuracy and repeatability of an inertial measurement unit system for field-based occupational studies.

Authors:  Mark C Schall; Nathan B Fethke; Howard Chen; Sakiko Oyama; David I Douphrate
Journal:  Ergonomics       Date:  2015-10-07       Impact factor: 2.561

5.  A portable system with sample rate of 250 Hz for characterization of knee and hip angles in the sagittal plane during gait.

Authors:  Fermín Martínez-Solís; Abraham Claudio-Sánchez; José M Rodríguez-Lelis; Sergio Vergara-Limon; Víctor Olivares-Peregrino; Marciano Vargas-Treviño
Journal:  Biomed Eng Online       Date:  2014-03-31       Impact factor: 2.819

6.  Autonomous Quality Control of Joint Orientation Measured with Inertial Sensors.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

7.  Three dimensional gait analysis using wearable acceleration and gyro sensors based on quaternion calculations.

Authors:  Shigeru Tadano; Ryo Takeda; Hiroaki Miyagawa
Journal:  Sensors (Basel)       Date:  2013-07-19       Impact factor: 3.576

8.  Estimating orientation using magnetic and inertial sensors and different sensor fusion approaches: accuracy assessment in manual and locomotion tasks.

Authors:  Elena Bergamini; Gabriele Ligorio; Aurora Summa; Giuseppe Vannozzi; Aurelio Cappozzo; Angelo Maria Sabatini
Journal:  Sensors (Basel)       Date:  2014-10-09       Impact factor: 3.576

9.  On the Orientation Error of IMU: Investigating Static and Dynamic Accuracy Targeting Human Motion.

Authors:  Luca Ricci; Fabrizio Taffoni; Domenico Formica
Journal:  PLoS One       Date:  2016-09-09       Impact factor: 3.240

10.  Attenuation of Upper Body Accelerations during Gait: Piloting an Innovative Assessment Tool for Parkinson's Disease.

Authors:  Christopher Buckley; Brook Galna; Lynn Rochester; Claudia Mazzà
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

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