Estimation of vertical walking ground reaction force in real-life environments using single IMU sensor

E. Shahabpoor, A. Pavic

Research output: Contribution to journalArticlepeer-review

48 Citations (SciVal)
98 Downloads (Pure)

Abstract

Monitoring natural human gait in real-life environments is essential in many applications, including quantification of disease progression, monitoring the effects of treatment, and monitoring alteration of performance biomarkers in professional sports. Walking ground reaction forces are among the key parameters necessary for gait analysis. However, these parameters are commonly measured using force plates or instrumented treadmills which are expensive and bulky and can only be used in a controlled laboratory environment. Despite the importance of real-life gait measurement, developing reliable and practical techniques and technologies necessary for continuous real-life monitoring of gait is still an open challenge, mainly due to the lack of a practical and cost-effective wearable technology for ground reaction force measurement. This paper presents a methodology to estimate the total walking ground reaction force GRFvt in the vertical direction using data from a single inertial measurement unit. Correlation analysis of the vertical acceleration of different body segments with GRFvt indicated that the 7th cervical vertebrae is one of the best locations for the sensor. The proposed method improves the accuracy of the state-of-the-art GRFvt estimation by 25%, by utilising the time-varying ratio of the vertical acceleration of the human body centre of mass and measured C7 vertical acceleration. Results of this study showed that the proposed method estimated consistently the GRFvt in both indoor and urban outdoor environment, with a 4–8% peak-to-peak normalised root mean square error.

Original languageEnglish
Pages (from-to)181-190
Number of pages10
JournalJournal of Biomechanics
Volume79
Early online date22 Aug 2018
DOIs
Publication statusPublished - 5 Oct 2018

Funding

The authors acknowledge the financial support provided by the UK Engineering and Physical Sciences Research Council (EPSRC) for the following research grants: • Frontier Engineering Grant EP/K03877X/1 (Modelling complex and partially identified engineering problems: Application to the individualized multiscale simulation of the musculoskeletal system); • Platform Grant EP/G061130/2 (Dynamic performance of large civil engineering structures: an integrated approach to management, design and assessment); and. The authors also acknowledge the invaluable help of Dr Mat Bocian for walking gait measurements in Sheffield Biomechanics lab. Appendix A

Keywords

  • Accelerometry
  • Kinetics

ASJC Scopus subject areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Biomedical Engineering
  • Rehabilitation

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