Video-based 3D pose estimation for residential roofing (dataset).

Details

• Corporate Authors:
  National Institute for Occupational Safety and Health
• Description:
  To protect residential roofing construction workers from both fatal and musculoskeletal injuries, it is necessary to assess the musculoskeletal and biomechanical risks in residential roofing tasks. This undertaking requires accurate information of workers' 3D body positions to analyze kinematics and kinetics of the human body. In this study, we proposed a novel 2-stage motion estimation approach based on a convolution neural network to estimate residential roofer's body positions using three-view video data. Instead of pursuing end-to- end training, our approach includes two stages: (1) use a multi-view model to estimate the 3D pose in a single frame; (2) use a multi-frame model to apply temporal convolutions to refine the multi-view outputs. The performance of the approach was evaluated by comparing our estimation with the gold-standard marker-based 3D human pose estimation ("ground truth"). The evaluation results show that our marker-free video-based approach can accurately capture the 3D posture of workers during the common roofing task and the proposed multi-frame model can effectively improve the precision of the coordinate sequence. The values of mean per joint position error of estimated human position before and after processing by the multi-frame model are 27.93 and 24.81 mm, respectively. These results prove that the proposed marker-free motion capture estimation approach can efficiently and accurately locate 3D body joints and pave the way for future onsite musculoskeletal motion analysis during roofing activities. [Description provided by NIOSH]
• Subjects:
  Biomechanical Phenomena Construction Industry Musculoskeletal Diseases Occupational Health Safety
• Keywords:
  Roofers; Roofing industry; Construction workers; Musculoskeletal disorders; MSD; Biomechanics; Body mechanics; Three dimensional; 3D; Video; Motion studies
• DOI:
  https://doi.org/10.26616/NIOSHRD-1042-2022-0
• Publisher:
  National Institute for Occupational Safety and Health
• Document Type:
  Dataset
• Genre:
  Research Dataset
• Place as Subject:
  Delaware ; New Jersey ; OSHA Region 2 ; OSHA Region 3 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• NIOSHTIC Number:
  nn:20065805
• Citation:
  Morgantown, WV: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Research Dataset RD-1042-2022-0, 2022 Aug; :dataset
• Contact Point Address:
  Physical Effects Research Branch, Health Effects Laboratory Division National Institute for Occupational Safety and Health (NIOSH), Morgantown, WV, USA. Tel: (304) 285-6121
• Federal Fiscal Year:
  2022
• NORA Priority Area:
  Construction
• Peer Reviewed:
  False
• Source Full Name:
  Video-based 3D pose estimation for residential roofing (dataset)
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:368593681477e0afc962451c19a4a9ec96c4476957fb4e058de4b1dfc2128c6d8f98ddf070587e1269a516030e0382b298e6652ef7f6a4ee0bd4ec5780ba29bc
• Download URL:
  https://stacks.cdc.gov/view/cdc/248719/cdc_248719_DS1.pdf
• File Type:
  [PDF - 161.97 KB ]