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Gait Event Detection During Running Using a Bending Angle Sensor Attached to Loose-Fitting Clothing.

Daisuke Goto, Yusuke Sakaue, Shima Okada

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    A novel bending angle sensor accurately measures running cycle time (tg) and contact time (tc) using data from loose-fitting clothing. This wearable technology offers a viable alternative to complex 3D motion capture systems for gait analysis.

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    Area of Science:

    • Biomechanics
    • Sports Science
    • Wearable Technology

    Background:

    • Accurate measurement of running parameters like cycle time (tg) and contact time (tc) is crucial for performance analysis and injury prevention.
    • Traditional methods such as 3D motion capture are accurate but expensive and cumbersome.
    • Wearable sensors offer a potential solution for accessible and convenient gait analysis.

    Purpose of the Study:

    • To evaluate the accuracy of a bending angle sensor integrated into loose-fitting clothing for measuring running cycle time (tg) and contact time (tc).
    • To compare the sensor's measurements against gold-standard 3D motion capture data.
    • To determine the reliability of the sensor across different running speeds.

    Main Methods:

    • Twenty healthy adult males ran on a treadmill at 8, 10, and 12 km/h.
    • A bending angle sensor was attached to the right knee of loose-fitting pants.
    • Simultaneous measurements were taken using the sensor and a 3D motion capture system.
    • Knee joint angular acceleration was used to detect foot-strike and toe-off events to calculate tg and tc.

    Main Results:

    • The bending angle sensor demonstrated high accuracy for detecting tg, with all error metrics (MAE, MBE, RMSE) within 10 ms.
    • For tc, the root mean square error (RMSE) was 21.4 ms at 8 km/h and below 20 ms at 10 and 12 km/h.
    • The sensor provided reliable measurements across the tested running speeds.

    Conclusions:

    • A bending angle sensor attached to loose-fitting clothing can accurately detect running cycle time (tg) and contact time (tc).
    • This technology presents a practical and accessible method for gait analysis outside of laboratory settings.
    • The findings support the use of wearable sensors for real-world running performance monitoring.