Older Adult Gait Assessment Data from Markerless Motion Capture

A 5.5 KB Excel file contains demographic variables for older adult subjects in a functional gait assessment study. Osman Darici published this dataset on figshare in 2026, which supports a proof-of-principle open-source markerless motion capture system. The system was validated on 3 subjects and used to generate FGA reports for 5 older adult subjects.

Use Cases

• Validate markerless motion capture systems based on reported strong correlations (R² up to 0.98) with laboratory-standard measures.
• Analyze functional gait patterns in older adults based on the described FGA reports and supplemental biomechanical measures.
• Develop models for gait parameter estimation using the demographic variables likely associated with step length, step width, and gait speed data.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Validation results show strong correlation (R² up to 0.98) with a traditional marker-based system on 3 subjects.
• Includes data from a functional gait assessment on 5 older adult subjects.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare, author Osman Darici.

Collection Method

Data likely gathered during a study deploying a low-cost, AI-driven markerless motion capture system with 3 cameras.

Freshness

Last updated 2026-06-02 17:28:34; freshness should be verified.