Three-dimensional GRF and CoP Estimation during Stair and Slope Ascent/Descent with Wearable IMUs and Foot Pressure Sensors

Kenichiro Fukushi, Yusuke Sekiguchi, Keita Honda, Haruki Yaguchi, Shin Ichi Izumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Wearable systems for gait analysis in daily living have been recently developed. Previous studies have demonstrated the significant potential of these systems; however, most of them focused on the level-walking condition, which is a limited portion of daily activities.To provide a new contribution to the gait analysis field, we have developed the first models for estimating three-dimensional (3D) ground reaction force (GRF) and center of pressure (CoP) during stair and slope ascent/descent with wearable sensors. Our system comprises light weight inertial measurement units (IMUs) and foot pressure sensors. We modeled the correlation between the measurements obtained with the wearable sensors and the ground truth of GRF/CoP from force plates, on the basis of linear regression models.Twenty healthy subjects completed a collection of ascent/descent tasks on stairs or slopes. We tested our models using cross-validation to evaluate the estimation accuracy in terms of the root mean square error (RMSE), the normalized RMSE (NRMSE), and the Pearson's correlation coefficient between the estimated GRF/CoP and those obtained from force plates. The experimental results showed practical estimation accuracy was obtained for GRF (RMSE ≤ 44.94 N) and CoP (RMSE ≤19.43 mm).Our system promises to contribute to clinical and sports medicine research by serving as a novel tool for assessing stair and slope ascent/descent outside laboratory environments.

Original languageEnglish
Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6401-6404
Number of pages4
ISBN (Electronic)9781538613115
DOIs
Publication statusPublished - 2019 Jul
Externally publishedYes
Event41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany
Duration: 2019 Jul 232019 Jul 27

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
CountryGermany
CityBerlin
Period19/7/2319/7/27

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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