A Comparison of Sensor Placement for Estimating Trunk Postures in Manual Material Handling

Details

• Personal Author:
  Arroyo G ; Hischke M ; Reiser RF II ; Rosecrance J
• Description:
  Wearable measurement systems have become increasingly more popular in estimating exposures to awkward trunk postures. One limitation in using these systems is the lack of research confirming the optimal placement of the sensors for accurate quantification of trunk postures. The present study explored the effect of sensor placement in estimating trunk postures using XsensTM (Xsens Technologies, NL) during simulated manual material handling tasks in the laboratory. The researchers found a single IMU on the sternum estimated summary measures and percent time in trunk posture categories similarly to the reference method placement. [Description provided by NIOSH]
• Subjects:
  Ergonomics Musculoskeletal System Occupational Health Safety
• Keywords:
  Author Keywords: Low Back Disorders Low Back Disorders Manual Materials Handling Posture Sensors Wearable Technologies
• ISBN:
  9783319960883
• ISSN:
  2194-5357
• Publisher:
  Springer
• Document Type:
  Text
• Funding:
  Grant ; Cooperative Agreement
• Genre:
  Proceedings
• Place as Subject:
  Colorado ; OSHA Region 8
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  85-99
• Volume:
  819
• NIOSHTIC Number:
  nn:20068838
• Citation:
  Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume II: Safety and Health, Slips, Trips and Falls, (Advances in Intelligent Systems and Computing). Bagnara S, Tartaglia R, Albolino S, Alexander T, Fujita Y, eds. Cham, Switzerland: Springer, 2018 Aug; 819:85-99
• Contact Point Address:
  Molly Hischke, Colorado State University, Fort Collins, CO, 80523, USA
• Email:
  hischkmj@colostate.edu
• Editor(s):
  Bagnara S; Tartaglia R; Albolino S; Alexander T; Fujita Y
• Federal Fiscal Year:
  2018
• NORA Priority Area:
  Agriculture, Forestry and Fishing
• Performing Organization:
  University of Colorado, Denver
• Peer Reviewed:
  False
• Start Date:
  20070701
• Source Full Name:
  Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume II: Safety and Health, Slips, Trips and Falls, (Advances in Intelligent Systems and Computing)
• End Date:
  20250630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:e00280252e52bf5ed3f6f64ad23bbbde758ebb160e68926fe6c3dce04e52a95659fdc63d25901ab9ab5800962635fa750274d4bcc3697736ed524e27f445964b
• Download URL:
  https://stacks.cdc.gov/view/cdc/207412/cdc_207412_DS1.pdf
• File Type:
  [PDF - 735.74 KB ]