Accuracy of angular displacements and velocities from inertial-based inclinometers

Details

• Alternative Title:
  Appl Ergon
• Personal Author:
  Chen, Howard ; Schall, Mark C. ; Fethke, Nathan
• Description:
  The objective of this study was to evaluate the accuracy of various sensor fusion algorithms for measuring upper arm elevation relative to gravity (i.e., angular displacement and velocity summary measures) across different motion speeds. Thirteen participants completed a cyclic, short duration, arm-intensive work task that involved transfering wooden dowels at three work rates (slow, medium, fast). Angular displacement and velocity measurements of upper arm elevation were simultaneously measured using an inertial measurement unit (IMU) and an optical motion capture (OMC) system. Results indicated that IMU-based inclinometer solutions can reduce root-mean-square errors in comparison to accelerometer-based inclination estimates by as much as 87%, depending on the work rate and sensor fusion approach applied. The findings suggest that IMU-based inclinometers can substantially improve inclinometer accuracy in comparison to traditional accelerometer-based inclinometers. Ergonomists may use the non-proprietary sensor fusion algorithms provided here to more accurately estimate upper arm elevation.
• Subjects:
  Accelerometry Adult Algorithms Arm Article Biomechanical Phenomena Ergometry Female Gravitation Humans Inclinometer Inertial-based Motion Capture Inertial Measurement Units Kalman Filter Male Motion Task Performance And Analysis Time Factors Work

  More +
• Source:
  Appl Ergon. 67:151-161
• Pubmed ID:
  29122186
• Pubmed Central ID:
  PMC9605618
• Document Type:
  Journal Article
• Funding:
  T42 OH008436/OH/NIOSH CDC HHSUnited States/ ; T42 OH008491/OH/NIOSH CDC HHSUnited States/ ; T42OH008436/ACL/ACL HHSUnited States/ ; T42OH008491/ACL/ACL HHSUnited States/
• Volume:
  67
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:237d06493f66a78592c730da662756b25a9af96286eaac686e9014cf4355b533
• Download URL:
  https://stacks.cdc.gov/view/cdc/121975/cdc_121975_DS1.pdf
• File Type:
  [PDF - 2.59 MB ]