Relationship Between Computer Vision Estimated Trunk Kinematics and Work-Related Low-Back Pain

Details

• Personal Author:
  Greene RL ; Hu YH ; Lu M-L ; Radwin RG
• Description:
  The association between trunk kinematics (e.g. trunk flexion angle; lateral and twisting velocity) and low-back pain (LBP) in manual materials handling activities has been recognized in numerous studies (Marras el al., 1993; Lavender et al., 2003). A computer vision algorithm developed by our laboratory detects moving subjects from the background, identifies lifting instances and locations by spatial and temporal features of the object, and creates a rectangular bounding box tightly around the subject. Previous work demonstrated the application of this algorithm for predicting lifting postures (Greene et al., 2019a) and estimating trunk kinematics (Greene et al., 2019b). The goal of the current research is to explore using these algorithms for evaluating trunk kinematics and their association with self-reported LBP and task measures defined by the revised NIOSH lifting equation (RNLE) (Waters et al., 1993). [Description provided by NIOSH]
• Subjects:
  Ergonomics Musculoskeletal Diseases Musculoskeletal System Occupational Health Safety Software
• Keywords:
  Computer Programs Lifting Low Back Pain Manual Materials Handling MSD Musculoskeletal Disorders Posture
• ISSN:
  1071-1813
• Publisher:
  Human Factors and Ergonomics Society
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Abstract or Summary
• Place as Subject:
  Ohio ; OSHA Region 5 ; Wisconsin
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DFSE - Division of Field Studies and Engineering
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  64
• Issue:
  1
• NIOSHTIC Number:
  nn:20063277
• Citation:
  Proceedings of the Human Factors and Ergonomics Society 64th Annual Meeting, October 5-9, 2020, virtual event. Santa Monica, CA: Human Factors and Ergonomics Society, 2020 Dec; 64(1):878
• Federal Fiscal Year:
  2021
• NORA Priority Area:
  Manufacturing
• Performing Organization:
  University of Wisconsin-Madison
• Peer Reviewed:
  True
• Start Date:
  20160901
• Source Full Name:
  Proceedings of the Human Factors and Ergonomics Society 64th Annual Meeting, October 5-9, 2020, virtual event
• End Date:
  20190831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:e1a2f0f2b8577dc0840deca970403e8acf40ceb2e84b1a792933542287b5d9daf30fb5f78e338a98d61fb208954e66ce631e8bdc6c71799d2493e091f1f568a0
• Download URL:
  https://stacks.cdc.gov/view/cdc/226367/cdc_226367_DS1.pdf
• File Type:
  [PDF - 73.82 KB ]