Development of a Wearable IMU System for Automatically Assessing Lifting Risk Factors

Details

• Personal Author:
  Barim MS ; Feng S ; Hayden M ; Hughes G ; Lu M-L ; Werren D
• Description:
  The objective of this study was to develop a five inertial measurement unit (IMU) sensor system attached to the human body for automatically identifying the duration of the lifting task (LD) performed symmetrically with two hands at various hand locations relative to the body, and three other lifting risk variables including the trunk flexion angle (T), the vertical distance (V) and horizontal distance (H) of the lifting task defined by the revised National Institute for Occupational Safety and Health lifting equation (RNLE). The algorithm that processed the IMU data consisted of two modules: the synchronization module that extracted the synchronization feature of wrists' motion data to identify the lifting event; and the lifting variable calculations module that employed a body segment length ratio model for calculating the risk variables. The variable calculation module was further modified to include subjects' body segment length information for improved accuracy. The wearable system was validated by motion data collected by a laboratory grade motion capture system on 10 human subjects performing 360 lifting trials. Results showed that the model performed well for determining the LD (approx. 1 s error) and T (approx. 2 degrees error). However, the mean errors for V and H were large (33 and 6.5 cm, respectively). Inclusion of subjects' five body segment length measurements improved the mean errors of V and H to 14 and 2.2 cm, respectively. [Description provided by NIOSH]
• Subjects:
  Ergonomics Musculoskeletal System Occupational Health Safety
• Keywords:
  Author Keywords: IMU Emerging Technology Ergonomic Assessment Future Of Work Lifting Lifting Capacity Posture Risk Assessment Sensors Task Performance Wearable Technologies

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• ISBN:
  9783030499037
• ISSN:
  0302-9743
• Publisher:
  Springer
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  California ; Ohio ; OSHA Region 5 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DFSE - Division of Field Studies and Engineering
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  194-213
• Volume:
  12198
• NIOSHTIC Number:
  nn:20060563
• Citation:
  Digital human modeling and applications in health, safety, ergonomics and risk management: posture, motion and health, 11th International Conference on Human-Computer Interaction (DHM 2020), HCII 2020: proceedings of the 22nd HCI International Conference, July 19-24, 2020, Copenhagen, Denmark, Part I, (Lecture notes in computer science: SL3 - Information systems and applications, incl. Internet/web, and HCI). Duffy VG ed. Cham, Switzerland: Springer, 2020 Jul; 12198:194-213
• Contact Point Address:
  Ming-Lun Lu, National Institute for Occupational Safety and Health, Cincinnati, OH 45226
• Email:
  uzl5@cdc.gov
• Editor(s):
  Duffy VG
• Federal Fiscal Year:
  2020
• Peer Reviewed:
  False
• Source Full Name:
  Digital human modeling and applications in health, safety, ergonomics and risk management: posture, motion and health, 11th International Conference on Human-Computer Interaction (DHM 2020), HCII 2020: proceedings of the 22nd HCI International Conference, July 19-24, 2020, Copenhagen, Denmark, Part I, (Lecture notes in computer science: SL3 - Information systems and applications, incl. Internet/web, and HCI)
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:a833969cb7622c1a0ed4e060eec2fe4ae3e945413cbd45481a88f40c7a256c3e7d847fed7db0bd72b07d6d650dca0781476ba6ff2f56fd6738cb3e2d68322bce
• Download URL:
  https://stacks.cdc.gov/view/cdc/224429/cdc_224429_DS1.pdf
• File Type:
  [PDF - 1.21 MB ]