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Inter-Rater Reliability of an Inertial Measurement Unit Sensor-Based Posture-Matching Method: A Pilot Study



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  • Personal Author:
  • Description:
    Posture quantification is important for analyzing trunk and upper extremity loading and estimating the risk of work-related musculoskeletal disorders. This study introduced an inertial measurement unit sensor-based posture-matching (ISPM) method. The ISPM method is the concept that involves observers wearing sensors and simulating postures in photos or videos obtained at job sites to assess the postural risks for the trunk and upper extremity. We tested the inter-rater reliability of the method in 4 novice observers. For the trunk, shoulder/elbow, and wrist joint angle category, weighted kappa scores were 0.89, 0.52, and 0.26, respectively. The results of the ISPM method indicated moderate or high inter-rater reliability for trunk flexion, shoulder flexion/extension, shoulder abduction/adduction, and elbow flexion. The ISPM method was more reliable than conventional observation-based posture assessment tools used for trunk posture analyses. However, the assessment of upper extremity angles indicated that the reliability of ISPM was lower than that of conventional observation-based posture assessment tools. This was a proof-of-concept study conducted using a few samples. Therefore, further testing is necessary to support the findings. Relevance to industry: The ISPM method requires a minimal level of training. It uses conventional video recording and imposes almost no interruptions to the workers' performance. The ISPM method showed moderate inter-rater reliability for the trunk, shoulder flexion/extension, shoulder abduction/adduction, and elbow flexion during the joint angle analysis. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    0169-8141
  • Document Type:
    Text
  • Funding:
    Cooperative Agreement
  • Genre:
    Journal Article
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Volume:
    80
  • NIOSHTIC Number:
    nn:20068194
  • Citation:
    Int J Ind Ergon 2020 Nov; 80:103025
  • Contact Point Address:
    Wonil Lee, Safety & Health Assessment & Research for Prevention (SHARP) Program, Washington State Department of Labor and Industries, Olympia, WA, 98504, USA
  • Email:
    lwon235@lni.wa.gov
  • Federal Fiscal Year:
    2021
  • Performing Organization:
    Washington State Department of Labor and Industries
  • Peer Reviewed:
    True
  • Start Date:
    20000930
  • Source Full Name:
    International Journal of Industrial Ergonomics
  • End Date:
    20060929
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:e88cfb40a1aecf9e626180a9ee97b9aa59ca0fca8eecf7158e281c1550c0558b0794e4927dbca93afdf498eae29f7eb81d6b16a3406361dac480c7d8d049c46a
  • Download URL:
  • File Type:
    Filetype[PDF - 3.96 MB ]
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