Comparison of the Observer, Single-Frame Video and Computer Vision Hand Activity Levels

Details

• Personal Author:
  Akkas O ; Bao S ; Harris-Adamson C ; Hu YH ; Lin J-H ; Meyers, Alysha R. ; Radwin RG ; Rempel D
• Description:
  Observer, manual single-frame video, and automated computer vision measures of the Hand Activity Level (HAL) were compared. HAL can be measured three ways: (1) observer rating (HALO), (2) calculated from single-frame multimedia video task analysis for measuring frequency (F) and duty cycle (D) (HALF), or (3) from automated computer vision (HALC). This study analysed videos collected from three prospective cohort studies to ascertain HALO, HALF, and HALC for 419 industrial videos. Although the differences for the three methods were relatively small on average (<1), they were statistically significant (p < .001). A difference between the HALC and HALF ratings within +/-1 point on the HAL scale was the most consistent, where more than two thirds (68%) of all the cases were within that range and had a linear regression through the mean coefficient of 1.03 (R2 = 0.89). The results suggest that the computer vision methodology yields comparable results as single-frame video analysis. Practitioner summary: The ACGIH Hand Activity Level (HAL) was obtained for 419 industrial tasks using three methods: observation, calculated using single-frame video analysis and computer vision. The computer vision methodology produced results that were comparable to single-frame video analysis. [Description provided by NIOSH]
• Subjects:
  Automation Computers Ergonomics Musculoskeletal System Occupational Health Safety
• Keywords:
  Author Keywords: Hand Activity Level Computer Vision Measurement Equipment Musculoskeletal System Repetitive Motion Repetitive Work Task Performance Upper Extremities
• ISSN:
  0014-0139
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  California ; Ohio ; OSHA Region 10 ; OSHA Region 5 ; OSHA Region 9 ; Washington ; 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:
  66
• Issue:
  8
• NIOSHTIC Number:
  nn:20066292
• Citation:
  Ergonomics 2023 Aug; 66(8):1132-1141
• 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:
  2023
• 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:f10a33d163368d1d3ee9de2742705c559f9cf8b8a83bf263876b3bceb37d7bc657f59de97d59ae0628a0ed0e36231b748d6aa784f833b23bab5d69628c707059
• Download URL:
  https://stacks.cdc.gov/view/cdc/212768/cdc_212768_DS1.pdf
• File Type:
  [PDF - 1.35 MB ]