A Direct Reading Video Assessment Instrument for Repetitive Motion Stress

Details

• Personal Author:
  Bao S ; Chen G ; Harris Adamson C ; Hu YH ; Lin J-H ; Radwin RG ; Rempel D
• Description:
  This research studies if computer vision can more effectively evaluate worker exposure and assess the associated risk for work related injuries than conventional methods. Previous methods involve either observations or measurements using instruments attached to a worker's hands or arms. Observation is often considered too subjective or inaccurate, and instruments too invasive or time consuming for routine applications in industry. Automated job analysis potentially offers a more objective, accurate, repeatable, and efficient exposure assessment tool than observational analysis. Computer vision uses less resources than instruments attached to workers and does not interfere with production; can quantify more exposure variables and interactions; is suitable for long-term, direct reading exposure assessment; and offers animated data visualizations synchronized with video for identifying aspects of jobs needing interventions. This research leverages the research from coordinated multi-institutional prospective studies of upper limb work related MSD conducted between 2001 and 2010 that studied production and service workers from a variety of US industries, and used rigorous case-criteria and individual-level exposure assessments prospectively, including recording detailed videos of the work. Our study partners from the National Institute for Occupational Safety and Health, the Washington State Labor & Industries Safety & Health Assessment & Research for Prevention program and the University of California-San Francisco will provide task-level videos, associated exposure variable data, and prospective health outcomes for 1,649 workers. This research refined and developed video algorithms and analyzed the videos to extract exposure measures for repetition, posture, exertions, and their interactions. In addition, new algorithms were developed for measuring and calculating wrist angle and parameters for manual lifting. The video extracted exposure measures were compared against conventional observational exposure measures made by our collaborators. Video and corresponding observational data were merged with the prospective health outcomes data to evaluate dose-response and to develop and validate parsimonious exposure risk models for an automated direct reading repetitive motion instrument. The completion of the modeling phase of this project is ongoing. This translational research is in concurrence with the Research to Practice (r2P) initiative by developing technology to disseminate knowledge from recent NIOSH sponsored prospective studies on MSDs. [Description provided by NIOSH]
• Subjects:
  Musculoskeletal Diseases Musculoskeletal System Occupational Health Safety
• Keywords:
  Analytical Instruments Exposure Assessment Monitoring Systems MSD Musculoskeletal Disorders R2p Repetitive Strain Injury Repetitive Work Research To Practice Initiative RSI Upper Extremities Video

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• Series:
  Grant Final Reports
• Publisher:
  National Institute for Occupational Safety and Health
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Final Grant Report
• Place as Subject:
  California ; OSHA Region 10 ; OSHA Region 5 ; OSHA Region 9 ; Washington ; Wisconsin
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  OEP - Office of Extramural Programs
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-60
• NIOSHTIC Number:
  nn:20063348
• Citation:
  Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, R01-OH-011024, 2020 Aug; :1-60
• Contact Point Address:
  Robert G. Radwin, PhD, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI 53706
• Email:
  rradwin@wisc.edu
• Federal Fiscal Year:
  2020
• Performing Organization:
  University of Wisconsin, Milwaukee
• Peer Reviewed:
  False
• Start Date:
  20160901
• Source Full Name:
  National Institute for Occupational Safety and Health
• End Date:
  20190831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:a69b96e886e380e21ddd7508e12019ddbb42e2bf6e9b3f18189047983ae28fc72af0a7101cd6ffc08dd91fa16a2b64c9445c8165165c2f18d16914eb28cd4f4a
• Download URL:
  https://stacks.cdc.gov/view/cdc/219073/cdc_219073_DS1.pdf
• File Type:
  [PDF - 2.79 MB ]