The Accuracy of a 2D Video-Based Lifting Monitor

Details

• Personal Author:
  Hu YH ; Lu M-L ; Radwin RG ; Wang X
• Description:
  A widely used risk prediction tool, the revised NIOSH lifting equation (RNLE), provides the recommended weight limit (RWL), but is limited by analyst subjectivity, experience, and resources. This paper describes a robust, nonintrusive, straightforward approach to automatically extract spatial and temporal factors necessary for the RNLE using a single video camera in the sagittal plane. The participant's silhouette is segmented by motion information and the novel use of a ghosting effect provides accurate detection of lifting instances, and hand and feet location prediction. Laboratory tests using 6 participants each performing 36 lifts showed that a nominal 640 pixel × 480 pixel 2D video, in comparison to 3D motion capture, provided RWL estimations within 0.2 kg (SD=1.0 kg). The linear regression between the video and 3D tracking RWL was R2=0.96 (slope=1.0, intercept=0.2 kg). Since low definition video was used in order to synchronize with motion capture, better performance is anticipated using high definition video. [Description provided by NIOSH]
• Subjects:
  Automation Ergonomics Laboratories Musculoskeletal Diseases Musculoskeletal System Occupational Health Risk Assessment Safety
• Keywords:
  Algorithms Author Keywords: Manual Lifting Back Injuries Humans Injury Prevention Laboratory Testing Lifting Low Back Pain Lower Back Pain Prevention Manual Lifting Models Monitoring Systems Motion Monitoring Motion Studies Musculoskeletal System NIOSH Lifting Equation Performance Capability Performance Tests Photographic Equipment Physiological Measurements Recommendations Risk Management Skeletal Movement Skeletal System Task Performance Video Visual Images Weight Factors

  More +
• ISSN:
  0014-0139
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Ohio ; OSHA Region 5 ; Wisconsin
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DART - Division of Applied Research and Technology
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  62
• Issue:
  8
• NIOSHTIC Number:
  nn:20055843
• Citation:
  Ergonomics 2019 Aug; 62(8):1043-1054
• Contact Point Address:
  Robert G. Radwin, PhD, Department of Industrial and Systems Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI 53706, USA
• Email:
  rradwin@wisc.edu
• Federal Fiscal Year:
  2019
• NORA Priority Area:
  Manufacturing
• Performing Organization:
  University of Wisconsin-Madison
• Peer Reviewed:
  True
• Start Date:
  20160901
• Source Full Name:
  Ergonomics
• End Date:
  20190831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:a5ffd3bce299d65ec6d4feaa671fd3289fb1b4c8326fb9ff962daa1c29a09b69b80049e3aefaf83a911efce193585dfb0d56d2e52c6307d211d2716bde294300
• Download URL:
  https://stacks.cdc.gov/view/cdc/213608/cdc_213608_DS1.pdf
• File Type:
  [PDF - 2.25 MB ]