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An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
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    Area of Science:

    • Biomechanics
    • Wearable Technology
    • Human Motion Analysis

    Background:

    • Inertial measurement units (IMUs) offer a cost-effective solution for joint angle measurement in diverse applications like sports and rehabilitation.
    • Current IMU-based human kinematics algorithms often necessitate cumbersome calibration procedures and precise sensor alignment.
    • These limitations hinder the practical application of IMUs in real-world scenarios, particularly in clinical settings.

    Purpose of the Study:

    • To develop a novel, alignment-free, and self-calibrating method for estimating joint angles using IMUs.
    • To overcome the limitations of traditional calibration-dependent IMU algorithms.
    • To facilitate more accessible and practical human motion analysis, especially in rehabilitation.

    Main Methods:

    • A new algorithm utilizing real-time optimization to identify dominant elbow joint rotation axes.
    • The method requires only arbitrary user movements and an initial zero reference arm pose, eliminating the need for predefined calibration.
    • Performance validation was conducted in an optical motion capture laboratory, comparing IMU-derived angles against a marker-based optical system.

    Main Results:

    • The self-calibration process converged rapidly, averaging under 9.5 seconds.
    • Root-mean-square errors were low: 2.7° for flexion/extension and 3.8° for pronation/supination, relative to the optical reference.
    • The proposed method demonstrated high accuracy and efficiency in estimating joint angles.

    Conclusions:

    • The developed alignment-free, self-calibrating IMU method significantly simplifies joint angle measurement.
    • This approach is particularly beneficial for rehabilitation applications where precise manual alignment and calibration movements are often impractical.
    • The findings pave the way for more widespread and user-friendly application of IMU technology in human motion analysis.