Advancing Towards Automated Ergonomic Assessment: A Panel of Perspectives

Details

• Personal Author:
  Armstrong DP ; Cavuoto LA ; Fischer SL ; Gallagher S ; Lee, Stephen A. ; Moore CAB ; Sonne MW
• Description:
  Lower back and neck pain are common musculoskeletal disorders (MSDs) among dentists and dentistry students. Increased awareness of ergonomics during job tasks could help to reduce MSDs. Virtual reality (VR) enhanced dentistry training programs are gaining popularity in academia. Quantifying inverse kinematics (IK) using VR manikins that mimic a user's body can inform ergonomic risk evaluations. We calibrated and investigated one of the IK manikins' accuracy compared to motion capture (MoCap) using a novel method. We show that posture estimation using VR is accurate to less than 10 degrees in 81% of the seated pick and place tasks for the neck and trunk angles. These results suggest that an accurate estimation of posture in VR is achievable to inform real-time postural feedback. This postural feedback can be integrated into VR enhanced training for dental students to help reinforce ergonomic posture and safer movements. [Description provided by NIOSH]
• Subjects:
  Automation Ergonomics Occupational Health Safety
• Keywords:
  Human Factors Engineering Machine Learning Risk Assessment Sensors Wearable Technologies
• ISBN:
  9783030746131
• ISSN:
  2367-3370
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Proceedings
• Place as Subject:
  Alabama ; Michigan ; New York ; OSHA Region 2 ; OSHA Region 4 ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  223
• NIOSHTIC Number:
  nn:20069546
• Citation:
  Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), June 13-18, 2021, virtual event. Volume V: methods & approaches. Lecture Notes in Networks and Systems, volume 223. Black NL, Neumann WP, Noy I eds. Cham, Switzerland: Springer, 2021 Jun; 223:585-591
• Email:
  steven.fischer@uwaterloo.ca
• Editor(s):
  Black NL; Neumann WP; Noy I
• Federal Fiscal Year:
  2021
• NORA Priority Area:
  Transportation, Warehousing and Utilities
• Performing Organization:
  State University of New York at Buffalo
• Peer Reviewed:
  False
• Start Date:
  20200930
• Source Full Name:
  Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), June 13-18, 2021, virtual event. Volume V: methods & approaches. Lecture Notes in Networks and Systems, volume 223
• End Date:
  20220929
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:2bc7c8aa95198bd12b45c8072feda4e119a8907e185e2622ac1d0e4b4bd558ab0e5da1d84c873dac7358c89f987b13844490c3f8b7b16b4e41140a7ad410635e
• Download URL:
  https://stacks.cdc.gov/view/cdc/207965/cdc_207965_DS1.pdf
• File Type:
  [PDF - 1.54 MB ]