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Measuring uniaxial joint angles with a minimal accelerometer configuration

Published: 23 April 2007 Publication History

Abstract

This paper describes an approach to accurate measurement of human joint flexion-extension angles with four biaxial accelerometers. In this method, the absolute joint angle is calculated by comparing the readings of a pair of virtual accelerometers at the joint center of rotation. The simulation results show that the measurement has high accuracy compared to the reference system (correlation coefficient factor = 0.982). Given its portability, relative low cost and high accuracy proven by simulation results, the system can be applied to motion tracking for home-based rehabilitation.

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  • (2017)Design and Construction of a Wearable Wireless Electrogoniometer for Joint Angle Measurements in SportsVII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 201610.1007/978-981-10-4086-3_98(389-392)Online publication date: 7-Apr-2017
  • (2016)Accelerometer based human joints' range of movement measurement2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)10.1109/CSNDSP.2016.7573970(1-6)Online publication date: Jul-2016
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cover image ACM Conferences
i-CREATe '07: Proceedings of the 1st international convention on Rehabilitation engineering & assistive technology: in conjunction with 1st Tan Tock Seng Hospital Neurorehabilitation Meeting
April 2007
272 pages
ISBN:9781595938527
DOI:10.1145/1328491
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 April 2007

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Author Tags

  1. accelerometer
  2. biomechanics
  3. gait analysis
  4. joint angle
  5. lower limb
  6. motion tracking
  7. rehabilitation

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Cited By

View all
  • (2021)Design of Wearable GoniometerIntelligent Sustainable Systems10.1007/978-981-16-2422-3_46(585-593)Online publication date: 27-Aug-2021
  • (2017)Design and Construction of a Wearable Wireless Electrogoniometer for Joint Angle Measurements in SportsVII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 201610.1007/978-981-10-4086-3_98(389-392)Online publication date: 7-Apr-2017
  • (2016)Accelerometer based human joints' range of movement measurement2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)10.1109/CSNDSP.2016.7573970(1-6)Online publication date: Jul-2016
  • (2016)A wearable system for biosignal monitoring in weightliftingSports Engineering10.1007/s12283-016-0212-z20:1(73-80)Online publication date: 11-Jul-2016
  • (2014)Study of the lower limp's angle during weightlifting exercises using an accelerometer-based system2014 III International Congress of Engineering Mechatronics and Automation (CIIMA)10.1109/CIIMA.2014.6983443(1-4)Online publication date: Oct-2014
  • (2014)Design of an electrogoniometer based on accelerometers for the evaluation of sports gesture in weight lifting2014 III International Congress of Engineering Mechatronics and Automation (CIIMA)10.1109/CIIMA.2014.6983436(1-3)Online publication date: Oct-2014
  • (2013)An accelerometer-based embedded system-on-chip for measuring human-body joint angles2013 Pan American Health Care Exchanges (PAHCE)10.1109/PAHCE.2013.6568247(1-1)Online publication date: Apr-2013
  • (2012)Human pose recovery using wireless inertial measurement unitsPhysiological Measurement10.1088/0967-3334/33/12/209933:12(2099-2115)Online publication date: 23-Nov-2012
  • (2012)Nonlinear optimization for drift removal in estimation of gait kinematics based on accelerometersJournal of Biomechanics10.1016/j.jbiomech.2012.08.02845:16(2849-2854)Online publication date: Nov-2012
  • (2011)Multi-model adaptation for thigh movement estimation using accelerometersIET Signal Processing10.1049/iet-spr.2010.01465:8(709)Online publication date: 2011
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