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Estimation of Lifting and Carrying Load During Manual Material Handling



Details

  • Personal Author:
  • Description:
    Low back injuries and low back pain are often caused by improper task execution, overuse or lack of guidance and training. Our current understanding of dose-response relationships between risk factors that contribute to these injuries remains unclear. Enhanced monitoring of risk factors contributing to injuries could provide more complete exposure-response information. It is difficult to continuously monitor workers and their exposures to ergonomic risk factors using existing technologies. This paper presents a practical approach to advance continuous measurements of common risk factors by quantifying the weight of an object during lifting and carrying, lift frequency and lift duration during manual material handling (MMH). We estimate these parameters based on the ground reaction forces (GRF) and considering trunk dynamics. The results show that by considering trunk dynamics and applying simple signal processing techniques, we can precisely estimate these risk parameters. These parameters can then be used to estimate injury risk of workers. The developed methodology is designed for real-time continuous monitoring applications and sets the foundation for future development of in-field monitoring of workers with wearable sensors. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISBN:
    9783319960678
  • ISSN:
    2194-5357
  • Publisher:
    Springer
  • Document Type:
    Text
  • Funding:
    Grant
  • Genre:
    Proceedings
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Pages in Document:
    153-161
  • Volume:
    825
  • NIOSHTIC Number:
    nn:20068776
  • Citation:
    Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining, (Advances in Intelligent Systems and Computing). Bagnara S, Tartaglia R, Albolino S, Alexander T, Fujita Y, eds. Cham, Switzerland: Springer, 2018 Aug; 825:153-161
  • Contact Point Address:
    Mitja Trkov, Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA
  • Email:
    m.trkov@utah.edu
  • Editor(s):
    Bagnara S; Tartaglia R; Albolino S; Alexander T; Fujita Y
  • Federal Fiscal Year:
    2018
  • Performing Organization:
    University of Utah
  • Peer Reviewed:
    False
  • Start Date:
    20050701
  • Source Full Name:
    Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining, (Advances in Intelligent Systems and Computing)
  • End Date:
    20280630
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:d4d489b0604ad0bf2101e9375044a98caab66245ae6afe52331403a5be0d837cccc57dc733459a0636eaeef57afc8e7130c73e33780678f10176f12db9cb0412
  • Download URL:
  • File Type:
    Filetype[PDF - 1.66 MB ]
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