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NCT07003087
2D Video Gait Analysis Platform Applying to AI Model for Adjustment of the Shoes' Sole
trial testing Shoe's sole modification in Gait Disorders in 50 participants. Enrolling by invitation.
31 July 2026
Quick facts
| Lead sponsor | China Medical University Hospital |
|---|---|
| Status | ENROLLING BY INVITATION |
| Study type | OBSERVATIONAL |
| Enrollment | 50 |
| Start date | 5 August 2024 |
| Primary completion | 31 July 2026 |
| Estimated completion | 30 August 2026 |
| Sites | 1 location across Taiwan |
Drugs / interventions tested
- Shoe's sole modification
Conditions studied
- Gait Disorders — all drugs for Gait Disorders →
Sponsor
China Medical University Hospital
Who can join
Adults 20 to 70, any sex, with Gait Disorders. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07003087 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by China Medical University Hospital
- Last refreshed: 4 June 2025
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