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Updated: Feb 8, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
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KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis.

Markus Wagner, Djordje Slijepcevic, Brian Horsak

    IEEE Transactions on Visualization and Computer Graphics
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    Summary

    Gait rehabilitation is vital for millions. A new system, KAVAGait, helps clinicians analyze complex gait data, improving patient care through visual analytics and shared knowledge.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Science
    • Human-Computer Interaction

    Background:

    • Ambulatory disabilities affect millions, necessitating effective gait rehabilitation.
    • Objective gait analysis generates complex data, challenging timely clinical interpretation.
    • Existing systems may not adequately support clinicians in managing and utilizing this data.

    Purpose of the Study:

    • To develop and validate a Knowledge-Assisted Visual Analytics solution (KAVAGait) for clinical gait analysis.
    • To enhance clinicians' ability to inspect and interpret complex gait data.
    • To facilitate the sharing of clinical knowledge for improved decision-making.

    Main Methods:

    • A design study was conducted with gait analysis experts.
    • Developed KAVAGait with interactive visual interfaces and an explicit knowledge store (EKS).
    • Validated the system through expert reviews, a user study, and a case study.

    Main Results:

    • KAVAGait enables storage and inspection of complex clinical gait analysis data.
    • The system incorporates user-centered visual interface concepts.
    • The explicit knowledge store (EKS) externalizes and shares implicit clinical knowledge.
    • Validation studies indicated KAVAGait's utility in supporting clinical practice.

    Conclusions:

    • KAVAGait effectively supports clinicians in visualizing complex gait data.
    • The system aids in clinical decision-making by leveraging shared knowledge.
    • KAVAGait represents a novel approach to improving gait rehabilitation through advanced analytics.