Literature DB >> 25978764

The accuracy of conventional 2D video for quantifying upper limb kinematics in repetitive motion occupational tasks.

Chia-Hsiung Chen1, David P Azari2, Yu Hen Hu1, Mary J Lindstrom3, Darryl Thelen4, Thomas Y Yen2, Robert G Radwin2.   

Abstract

Marker-less 2D video tracking was studied as a practical means to measure upper limb kinematics for ergonomics evaluations. Hand activity level (HAL) can be estimated from speed and duty cycle. Accuracy was measured using a cross-correlation template-matching algorithm for tracking a region of interest on the upper extremities. Ten participants performed a paced load transfer task while varying HAL (2, 4, and 5) and load (2.2 N, 8.9 N and 17.8 N). Speed and acceleration measured from 2D video were compared against ground truth measurements using 3D infrared motion capture. The median absolute difference between 2D video and 3D motion capture was 86.5 mm/s for speed, and 591 mm/s(2) for acceleration, and less than 93 mm/s for speed and 656 mm/s(2) for acceleration when camera pan and tilt were within ± 30 degrees. Single-camera 2D video had sufficient accuracy (< 100 mm/s) for evaluating HAL. Practitioner Summary: This study demonstrated that 2D video tracking had sufficient accuracy to measure HAL for ascertaining the American Conference of Government Industrial Hygienists Threshold Limit Value(®) for repetitive motion when the camera is located within ± 30 degrees off the plane of motion when compared against 3D motion capture for a simulated repetitive motion task.

Entities:  

Keywords:  exposure assessment; hand activity level; marker-less video tracking; repetitive motion; work-related musculoskeletal disorders

Mesh:

Year:  2015        PMID: 25978764      PMCID: PMC4684497          DOI: 10.1080/00140139.2015.1051594

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  16 in total

1.  Comparison between using spectral analysis of electrogoniometer data and observational analysis to quantify repetitive motion and ergonomic changes in cyclical industrial work.

Authors:  T Y Yen; R G Radwin
Journal:  Ergonomics       Date:  2000-01       Impact factor: 2.778

2.  Development and evaluation of an observational method for assessing repetition in hand tasks.

Authors:  W A Latko; T J Armstrong; J A Foulke; G D Herrin; R A Rabourn; S S Ulin
Journal:  Am Ind Hyg Assoc J       Date:  1997-04

3.  The Strain Index and ACGIH TLV for HAL: risk of trigger digit in the WISTAH prospective cohort.

Authors:  Jay M Kapellusch; Arun Garg; Kurt T Hegmann; Matthew S Thiese; Elizabeth J Malloy
Journal:  Hum Factors       Date:  2014-02       Impact factor: 2.888

4.  Workplace and individual risk factors for carpal tunnel syndrome.

Authors:  Susan Burt; Ken Crombie; Yan Jin; Steve Wurzelbacher; Jessica Ramsey; James Deddens
Journal:  Occup Environ Med       Date:  2011-05-25       Impact factor: 4.402

5.  A frequency-duty cycle equation for the ACGIH hand activity level.

Authors:  Robert G Radwin; David P Azari; Mary J Lindstrom; Sheryl S Ulin; Thomas J Armstrong; David Rempel
Journal:  Ergonomics       Date:  2014-10-24       Impact factor: 2.778

6.  A hand speed-duty cycle equation for estimating the ACGIH hand activity level rating.

Authors:  Oguz Akkas; David P Azari; Chia-Hsiung Eric Chen; Yu Hen Hu; Sheryl S Ulin; Thomas J Armstrong; David Rempel; Robert G Radwin
Journal:  Ergonomics       Date:  2014-10-24       Impact factor: 2.778

7.  Exposure assessment of biomechanical stress in repetitive manual work using frequency-weighted filters.

Authors:  R G Radwin; M L Lin; T Y Yen
Journal:  Ergonomics       Date:  1994-12       Impact factor: 2.778

8.  Automated video exposure assessment of repetitive hand activity level for a load transfer task.

Authors:  Chia-Hsiung Chen; Yu Hen Hu; Thomas Y Yen; Robert G Radwin
Journal:  Hum Factors       Date:  2013-04       Impact factor: 2.888

9.  A prospective study of musculoskeletal outcomes among manufacturing workers: I. Effects of physical risk factors.

Authors:  Fredric Gerr; Nathan B Fethke; Linda Merlino; Dan Anton; John Rosecrance; Michael P Jones; Michele Marcus; Alysha R Meyers
Journal:  Hum Factors       Date:  2014-02       Impact factor: 2.888

10.  The Strain Index (SI) and Threshold Limit Value (TLV) for Hand Activity Level (HAL): risk of carpal tunnel syndrome (CTS) in a prospective cohort.

Authors:  A Garg; J Kapellusch; K Hegmann; J Wertsch; A Merryweather; G Deckow-Schaefer; E J Malloy
Journal:  Ergonomics       Date:  2012-03-08       Impact factor: 2.778

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  4 in total

1.  Modeling Surgical Technical Skill Using Expert Assessment for Automated Computer Rating.

Authors:  David P Azari; Lane L Frasier; Sudha R Pavuluri Quamme; Caprice C Greenberg; Carla M Pugh; Jacob A Greenberg; Robert G Radwin
Journal:  Ann Surg       Date:  2019-03       Impact factor: 12.969

2.  Evaluation of Simulated Clinical Breast Exam Motion Patterns Using Marker-Less Video Tracking.

Authors:  David P Azari; Carla M Pugh; Shlomi Laufer; Calvin Kwan; Chia-Hsiung Chen; Thomas Y Yen; Yu Hen Hu; Robert G Radwin
Journal:  Hum Factors       Date:  2015-11-06       Impact factor: 2.888

3.  Measuring elemental time and duty cycle using automated video processing.

Authors:  Oguz Akkas; Cheng-Hsien Lee; Yu Hen Hu; Thomas Y Yen; Robert G Radwin
Journal:  Ergonomics       Date:  2016-03-02       Impact factor: 2.778

4.  Pilot testing of the spring operated wearable enhancer for arm rehabilitation (SpringWear).

Authors:  Ji Chen; Peter S Lum
Journal:  J Neuroeng Rehabil       Date:  2018-03-02       Impact factor: 4.262

  4 in total

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