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2D Video Gait Analysis Platform Applying to AI Model for Adjustment of the Shoes' Sole

NCT07003087 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2025-06-04

No results posted yet for this study

Summary

Artificial intelligence (AI) technology makes gait analysis based on two-dimensional images feasible. The first aim of this study is to develop an analysis platform that uses two-dimensional image analysis technology to determine the relative excursion of body segments and limbs in gait. The second aim is to apply this analysis platform to develop an artificial intelligence model for customized shoe adjustment to optimize gait. For the methodology, OpenPose will be used as the analysis tool to quantify the relative shifts between specific joint/node trajectories of the body, and the VICON three-dimensional motion analysis system will be used to verify the acquisition parameters. For the second aim, an existing 2D gait image database before customized shoe adjustment will be used to obtain the inputs to the customized shoe adjustment AI model. Through training the AI model, enabling to generate the outputs of the most appropriate adjustment parameters for shoe soles. After the AI model has well-trained, the walking kinematics and foot pressure before and after wearing ordinary sports shoes or customized shoes will be compared during running on a treadmill. This research is expected to establish an efficient customized shoe adjustment AI model, allowing users to improve walking efficiency.

Conditions

  • Gait Disorders

Interventions

OTHER

Shoe's sole modification

Shoe's sole modification by insertion of supporting materials

Sponsors & Collaborators

  • China Medical University Hospital

    lead OTHER

Eligibility

Min Age
20 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-08-05
Primary Completion
2026-07-31
Completion
2026-08-30

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07003087 on ClinicalTrials.gov