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Collecting Data to Improve AI Markerless Gait Analysis Algorithms Using Video

Collecting Data to Improve AI Markerless Gait Analysis Algorithms Using Video

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CRIS
Registry ID
KCT0009980
Enrollment
20
Registered
2024-12-02
Start date
2025-02-01
Completion date
Unknown
Last updated
2024-12-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Others(Flat Surface and Stair Gait) : Single Visit Measurement Simultaneous measurements with a 3D motion analysis system and a markerless gait analysis device (lateral view). Total time required: 60
measurements will be conducted simultaneously with the 3D motion analysis system.

Sponsors

National Rehabilitation Center
Lead Sponsor

Eligibility

Sex/Gender
Male

Inclusion criteria

Inclusion criteria: Healthy Adult Male Participants Adults aged 19 or older No history of lower limb musculoskeletal disorders or surgeries within the past 6 months No history of Parkinson's disease, stroke, or Alzheimer's disease

Exclusion criteria

Exclusion criteria: Exclusion if unable to walk independently Exclusion if consent to participate in the study is not provided

Design outcomes

Primary

MeasureTime frame
Spatiotemporal Gait Parameters Calculated from 3D Motion Analysis Results

Secondary

MeasureTime frame
Spatiotemporal Gait Parameters Measured by Markerless Gait Analysis

Countries

Korea, Republic of

Contacts

Public ContactHyun Jong Lee

National Rehabilitation Center

lee56789@korea.kr+82-2-901-1957

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026