Video-Based Ergonomic Job Analysis: A Practitioner’s Guide

Details

• Personal Author:
  Dempsey, Patrick G. ; Mathiassen SE ; Paquet VL
• Description:
  Ergonomic job analysis is used to systematically identify hazards thought to result in work-related musculoskeletal disorders. Video-based ergonomics job analysis requires the identification of ergonomics problems via systematic analysis of video recordings that are made on a sample of work. While such analysis is commonly used to characterize the biomechanical stressors associated with work, little attention has been given to ensuring that the videos contain a representative sample of the biomechanical stressors that are likely to vary from one person to another, and over time with different work methods or productivity demands. Readers should gain an understanding of how the variability of these stressors can affect the results of the video-based ergonomic job analysis. [Description provided by NIOSH]
• Subjects:
  Biomechanical Phenomena Ergonomics Hazardous Substances Musculoskeletal Diseases Occupational Health Safety
• Keywords:
  Biomechanics Hazard Identification Job Analysis MSD Musculoskeletal Disorders
• ISSN:
  0099-0027
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; New York ; OSHA Region 1 ; OSHA Region 2
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  27-35
• Volume:
  52
• Issue:
  11
• NIOSHTIC Number:
  nn:20055297
• Citation:
  Prof Saf 2006 Nov; 52(11):27-35
• Federal Fiscal Year:
  2007
• Performing Organization:
  State University of New York, Buffalo
• Peer Reviewed:
  True
• Start Date:
  20000930
• Source Full Name:
  Professional Safety
• End Date:
  20030929
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:a8518f4e3001aaf7ab069a8881d562099efd62b847b1b6ac37c3fa3cb496b4272dc7bb14b51a0cb47d0cb8ace9520acd7afc0042fb85ac6548c42f40a5e9e5b3
• Download URL:
  https://stacks.cdc.gov/view/cdc/217635/cdc_217635_DS1.pdf
• File Type:
  [PDF - 2.22 MB ]