Research on Human Gait Characteristics at Different Walking Speeds Based on Pose Estimation and HHT

This study aims to provide doctors with metrics for assessing the rehabilitation of knee osteoarthritis (KOA) patients at varying walking speeds. Using a pose estimation algorithm, knee flexion angle signals at different speeds are obtained and validated with Qualisys. Key angle metrics during gait phases and the maximum amplitude of the marginal spectrum from EEMD and Hilbert-Huang Transform are extracted. The method demonstrates high validity (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$r&gt;0.8$</tex>, ICC <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&gt;0.9$</tex>) and significant differences in angle values and marginal spectrum amplitude across speeds (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2 ~\text{km} / \mathrm{h}, 4 ~\text{km} / \mathrm{h}, 6 ~\text{km} / \mathrm{h}$</tex>), offering a dimensionally enhanced, easily applicable rehabilitation assessment tool for KOA patients.

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Publication Details

Published
2025-07-12
DOI
https://doi.org/10.1109/icsip65915.2025.11171602
Primary Topic
Gait Recognition and Analysis
Type
article
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article

Research on Human Gait Characteristics at Different Walking Speeds Based on Pose Estimation and HHT

Xiaojing Tang, Haicheng Wei, Jing Zhao, Jiale Wei et al.
Gait Recognition and Analysis
article

Research on Human Gait Characteristics at Different Walking Speeds Based on Pose Estimation and HHT

Xiaojing Tang, Haicheng Wei, Jing Zhao, Jiale Wei, Zhijie Xiang, Yuzhe Tan
article en

Abstract

This study aims to provide doctors with metrics for assessing the rehabilitation of knee osteoarthritis (KOA) patients at varying walking speeds. Using a pose estimation algorithm, knee flexion angle signals at different speeds are obtained and validated with Qualisys. Key angle metrics during gait phases and the maximum amplitude of the marginal spectrum from EEMD and Hilbert-Huang Transform are extracted. The method demonstrates high validity (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$r&gt;0.8$</tex>, ICC <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&gt;0.9$</tex>) and significant differences in angle values and marginal spectrum amplitude across speeds (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2 ~\text{km} / \mathrm{h}, 4 ~\text{km} / \mathrm{h}, 6 ~\text{km} / \mathrm{h}$</tex>), offering a dimensionally enhanced, easily applicable rehabilitation assessment tool for KOA patients.

Ningxia University (CN), North Minzu University (CN), Ningxia Medical University (CN)
Openalex Percentile: Top 73%
Gait Recognition and Analysis
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