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

NCT07003087 | Enrolling By Invitation

• 1 other identifier: CMUH113-REC3-036
• Study Type: observational
• Target: 50
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

gait asymmetry

Outcome Measures

Primary Outcomes (1)

• kinemaitc asymmetry

  kinemaitc asymmetry during level walking

  Day 1 (After enrollment, a single session for assessment of the gait changes wearing different shoes)

Study Arms (1)

Gait Asymmetry

Individual with gait asymmetry or disorder, which potentially can be modified with shoe's adjustment

Other: Shoe's sole modification

Interventions

Shoe's sole modification OTHER

Shoe's sole modification by insertion of supporting materials

Gait Asymmetry

Eligibility Criteria

• Age: 20 Years - 70 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Individuals with gait asymmetry or disorder

You may qualify if:

• Self-percieved discomforts in lower extremity
• Be able to walk independently at least for 30 minutes and run independently at least for 10 minutes

You may not qualify if:

• Obvious foot deformity, trauma in the lower extremity
• Motor or neurologic disorder that affect walking patterns

Sponsors & Collaborators

• China Medical University Hospital: lead

Study Sites (1)

China Medical University, Department of Physical Therapy

Taichung, 406040, Taiwan

Location

MeSH Terms

Conditions

Mobility Limitation

Condition Hierarchy (Ancestors)

Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor, China Medical University, Department of Physical Therapy

Study Record Dates

• First Submitted: February 26, 2025
• First Posted: June 4, 2025
• Study Start: August 5, 2024
• Primary Completion (Estimated): July 31, 2026
• Study Completion (Estimated): August 30, 2026
• Last Updated: June 4, 2025

Record last verified: 2025-02

Locations

TW (1)