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    A new system uses factor analysis to evaluate standing function based on 48 characteristics. Most standing factors change with age, and the system aids understanding through radar charts.

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    Area of Science:

    • Biomechanics
    • Human Factors Engineering
    • Gerontology

    Background:

    • Assessing standing function is crucial for understanding age-related changes.
    • Existing methods may lack intuitive visualization for complex standing characteristics.
    • Factor analysis offers a robust statistical approach for reducing complex data.

    Purpose of the Study:

    • To propose and validate a novel standing function evaluation system.
    • To identify key factors influencing standing characteristics using factor analysis.
    • To develop an intuitive method for visualizing standing function changes.

    Main Methods:

    • Factor analysis was employed to extract key factors from 48 standing characteristic indices.
    • A large-scale experiment was conducted to collect data for the analysis.
    • Score radar charts were utilized to visualize the extracted factors.

    Main Results:

    • Five significant standing function factors were successfully extracted.
    • Factor analysis revealed that most identified factors exhibit age-related variations.
    • Radar charts provided an intuitive representation of these age-related changes.

    Conclusions:

    • The proposed system effectively evaluates standing function through factor analysis.
    • The system facilitates intuitive comprehension of age-related changes in standing characteristics.
    • Score radar charts are valuable tools for visualizing complex biomechanical data.