Evidence map›Paper›PMID 25978764›Full record

ArticleErgonomics2015

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

Chia-Hsiung Chen, David P Azari, Yu Hen Hu, Mary J Lindstrom, Darryl Thelen, Thomas Y Yen, Robert G Radwin

Abstract read
In one paragraph

Article in Ergonomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Chia-Hsiung Chena Department of Electrical and Computer Engineering , University of Wisconsin-Madison , Madison , WI 53706 , USA.
David P Azarib Department of Industrial and Systems Engineering , University of Wisconsin-Madison , Madison , WI 53706 , USA.
Yu Hen Hua Department of Electrical and Computer Engineering , University of Wisconsin-Madison , Madison , WI 53706 , USA.
Mary J Lindstromc Department of Biostatistics and Medical Informatics , University of Wisconsin-Madison , Madison , WI 53706 , USA.
Darryl Thelend Department of Mechanical Engineering , University of Wisconsin-Madison , Madison , WI 53706 , USA.
Thomas Y Yenb Department of Industrial and Systems Engineering , University of Wisconsin-Madison , Madison , WI 53706 , USA.
Robert G Radwinb Department of Industrial and Systems Engineering , University of Wisconsin-Madison , Madison , WI 53706 , USA.
University of Wisconsin–Madison · US

Funding

Video Motion Analysis of Repetitive ExertionsR21EB014583 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI RADWIN, ROBERT G · 2012 to 2013
$391k
NIBIB NIH HHS 1R21 EB01458301NIBIB NIH HHS R21 EB014583
6 · The paper itself

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.

Indexed as

AccelerationAlgorithmsMovementAdolescentAdultBiomechanical PhenomenaErgonomicsFemaleHumansMaleMusculoskeletal DiseasesOccupational DiseasesOccupational ExposureUpper ExtremityVideo RecordingYoung Adultexposure assessmenthand activity levelmarker-less video trackingrepetitive motionwork-related musculoskeletal disorders

Identifiers

PMID25978764
PMCPMC4684497
OpenAlexW1688999297

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.