Literature DB >> 29276368

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

Sol Lim1, Andrea Case1, Clive D'Souza1.   

Abstract

This study examined interactions between inertial sensor (IS) performance and physical task demand on posture kinematics in a two-handed force exertion task. Fifteen male individuals participated in a laboratory experiment that involved exerting a two-handed isometric horizontal force on an instrumented height-adjustable handle. Physical task demand was operationalized by manipulating vertical handle height, target force magnitude, and force direction. These factors were hypothesized to influence average estimates of torso flexion angle measured using inertial sensors and an optical motion capture (MC) system, as well as the root mean squared errors (RMSE) between instrumentation computed over a 3s interval of the force exertion task. Results indicate that lower handle heights and higher target force levels were associated with increased torso and pelvic flexion in both, push and pull exertions. Torso flexion angle estimates obtained from IS and MC did not differ significantly. However, RMSE increased with target force intensity suggesting potential interactive effects between measurement error and physical task demand.

Entities:  

Year:  2016        PMID: 29276368      PMCID: PMC5740233          DOI: 10.1177/1541931213601224

Source DB:  PubMed          Journal:  Proc Hum Factors Ergon Soc Annu Meet        ISSN: 1071-1813


  9 in total

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3.  Co-contraction recruitment and spinal load during isometric trunk flexion and extension.

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4.  Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors.

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Journal:  Med Biol Eng Comput       Date:  2007-12-18       Impact factor: 2.602

5.  Trunk posture monitoring with inertial sensors.

Authors:  Wai Yin Wong; Man Sang Wong
Journal:  Eur Spine J       Date:  2008-01-15       Impact factor: 3.134

Review 6.  Risk factors for work-related musculoskeletal disorders: A systematic review of recent longitudinal studies.

Authors:  Bruno R da Costa; Edgar Ramos Vieira
Journal:  Am J Ind Med       Date:  2010-03       Impact factor: 2.214

7.  A study on band-pass filtering for calculating foot displacements from accelerometer and gyroscope sensors.

Authors:  Edgar Charry; Daniel T H Lai; Rezaul K Begg; Marimuthu Palaniswami
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

8.  Volitional postures during maximal push/pull exertions in the sagittal plane.

Authors:  D B Chaffin; R O Andres; A Garg
Journal:  Hum Factors       Date:  1983-10       Impact factor: 2.888

9.  Classifying household and locomotive activities using a triaxial accelerometer.

Authors:  Yoshitake Oshima; Kaori Kawaguchi; Shigeho Tanaka; Kazunori Ohkawara; Yuki Hikihara; Kazuko Ishikawa-Takata; Izumi Tabata
Journal:  Gait Posture       Date:  2010-02-06       Impact factor: 2.840

  9 in total
  2 in total

1.  Statistical Prediction of Hand Force Exertion Levels in a Simulated Push Task using Posture Kinematics.

Authors:  Sol Lim; Clive D'Souza
Journal:  Proc Hum Factors Ergon Soc Annu Meet       Date:  2017-09-28

2.  Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics.

Authors:  Sol Lim; Clive D'Souza
Journal:  Appl Ergon       Date:  2018-11-29       Impact factor: 3.661

  2 in total

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