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Related Experiment Video

Updated: Feb 8, 2026

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Wandering Pattern Sensing at S-Band.

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    This study uses S-band sensing to monitor dementia patients, accurately classifying wandering behaviors up to 90%. This technology offers promising potential for improving patient safety and care in healthcare settings.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Gerontology

    Background:

    • Dementia prevalence is rising, creating significant challenges for caregivers.
    • Wandering behavior in dementia patients poses safety risks and management difficulties.
    • Existing methods for monitoring dementia patients have limitations.

    Purpose of the Study:

    • To investigate the design and evaluation of wandering scenarios for dementia patients.
    • To utilize an S-band sensing technique for monitoring and characterizing wandering patterns.
    • To assess the accuracy of classifying different wandering behaviors.

    Main Methods:

    • An S-band sensing technique was employed to monitor indoor wandering scenarios.
    • Received amplitude and phase information were used to characterize movement patterns.
    • Support Vector Machine (SVM) was utilized for secondary analysis and pattern classification.

    Main Results:

    • The S-band sensing technique successfully characterized random, lapping, and pacing movements.
    • Classification accuracy for the three wandering patterns reached up to 90%.
    • The proposed method demonstrated high efficacy in identifying distinct wandering behaviors.

    Conclusions:

    • S-band sensing is a viable technique for monitoring dementia patient wandering.
    • The high classification accuracy indicates strong potential for healthcare applications.
    • This technology can enhance patient safety and caregiver support.