A Novel GADF-TransResNet Model with Transfer Learning for Gait Phase Recognitionin Lower Limb Exoskeleton Robot

IMU data collected from thigh and shank during exoskeleton-assisted gait, including angles, acceleration, and plantar pressure. The dataset supports gait phase recognition research and aids in analyzing walking patterns for biomechanics and machine learning studies.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-19
DOI
https://doi.org/10.5281/zenodo.13953741
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

A Novel GADF-TransResNet Model with Transfer Learning for Gait Phase Recognitionin Lower Limb Exoskeleton Robot

Zenodo (CERN European Organization for Nuclear Research)
Prosthetics and Rehabilitation Robotics
article

A Novel GADF-TransResNet Model with Transfer Learning for Gait Phase Recognitionin Lower Limb Exoskeleton Robot

article en

Abstract

IMU data collected from thigh and shank during exoskeleton-assisted gait, including angles, acceleration, and plantar pressure. The dataset supports gait phase recognition research and aids in analyzing walking patterns for biomechanics and machine learning studies.

Zenodo (CERN European Organization for Nuclear Research)
Wuhan University of Technology (CN), Hubei University of Technology (CN)
Openalex Percentile: Top 64%
Prosthetics and Rehabilitation Robotics
DOIOpen Access PDFOpenAlex
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A Novel GADF-TransResNet Model with Transfer Learning for Gait Phase Recognitionin Lower Limb Exoskeleton Robot · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS