Accuracy of Angular Displacements and Velocities from Inertial-Based Inclinometers

Details

• Personal Author:
  Chen H ; Fethke N ; Schall MC Jr.
• 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. [Description provided by NIOSH]
• Subjects:
  Biomechanical Phenomena Ergonomics Musculoskeletal System Occupational Health Quality Control Safety
• Keywords:
  Author Keywords: Inclinometer Biomechanics Body Measurements Body Mechanics Equipment Reliability Equipment Testing Gravitational Forces Humans Inertial-based Motion Capture Inertial Measurement Units Kalman Filter Mathematical Models Measurement Equipment Motion Studies Physiological Measurements Quality Standards Sensors Upper Extremities

  More +
• ISSN:
  0003-6870
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Alabama ; Iowa ; OSHA Region 4 ; OSHA Region 7
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  151-161
• Volume:
  67
• NIOSHTIC Number:
  nn:20051560
• Citation:
  Appl Ergon 2018 Feb; 67:151-161
• Contact Point Address:
  Howard Chen, Department of Mechanical Engineering, Auburn University, 2530 Woltosz Engineering Research Laboratory, Auburn, AL 36849, USA
• Email:
  howard-chen@auburn.edu
• Federal Fiscal Year:
  2018
• Performing Organization:
  University of Alabama at Birmingham
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Applied Ergonomics
• End Date:
  20270630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:3f8afe9adf15e0aff5a1d9486bc793f1dedae8d717179afd9197e65dc92980e00def2eaa60c0b0bdbddac93c8a18ca23f98c4385597399615772963a52884a6c
• Download URL:
  https://stacks.cdc.gov/view/cdc/211456/cdc_211456_DS1.pdf
• File Type:
  [PDF - 1.28 MB ]