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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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Simple Three-Dimensional Motion Measurement System using Marker-IMU System.

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    This study combines image and inertial measurement unit (IMU) systems for robust human motion capture. The novel approach overcomes limitations of individual systems, enabling accurate and smooth movement tracking even with occlusions.

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    Area of Science:

    • Biomechanics
    • Robotics
    • Computer Vision
    • Human-Computer Interaction

    Background:

    • Conventional image-based motion capture systems suffer from limited measurement ranges.
    • Inertial motion capture systems lack direct position information acquisition.
    • Simple, robust, and wide-range human movement measurement is challenging with existing technologies.

    Purpose of the Study:

    • To develop a robust human motion measurement system by integrating image-based and inertial measurement unit (IMU) technologies.
    • To overcome the limitations of individual motion capture systems, enhancing accuracy and robustness.
    • To enable continuous and smooth movement measurement, even in scenarios with occlusions or camera movement.

    Main Methods:

    • Integration of a high-accuracy image-based motion capture system utilizing visual markers for position and orientation.
    • Fusion of image data with data from Inertial Measurement Units (IMUs) for comprehensive movement tracking.
    • Incorporation of environmental reference markers to ensure absolute position acquisition despite camera movement.

    Main Results:

    • A robust human motion measurement system was successfully constructed by combining image and IMU data.
    • The integrated system demonstrated effective tracking of human upper limb movements and walking gaits.
    • Continuous and smooth movement measurement was achieved, even under challenging conditions like occlusions.

    Conclusions:

    • The combined image and IMU system provides a robust solution for human motion capture, surpassing the limitations of individual methods.
    • This approach enables reliable measurement of human movement, including complex actions and scenarios with potential occlusions.
    • The developed system offers a versatile tool for applications requiring accurate and continuous human motion analysis.