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Camera-based Hand Tracking using a Mirror-based Multi-view Setup.

Guan Ming Lim, Prayook Jatesiktat, Christopher Wee Keong Kuah

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
    PubMed
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    This study introduces a novel multi-view hand pose estimation system using mirrors and a mobile phone camera. The setup improves dynamic hand motion measurement accuracy by reducing joint occlusion, outperforming traditional methods.

    Area of Science:

    • Biomedical Engineering
    • Computer Vision
    • Rehabilitation Technology

    Background:

    • Goniometers measure static joint angles but are limited to single joints.
    • Markerless camera-based systems offer dynamic, non-contact hand pose estimation but suffer from occlusion issues.

    Purpose of the Study:

    • To develop a multi-view camera system for accurate, dynamic hand pose estimation.
    • To overcome the line-of-sight limitations and occlusion problems of single-camera systems.

    Main Methods:

    • Utilized a single mobile phone camera and plane mirrors to create multiple hand views.
    • Implemented a markerless hand pose estimation technique with the multi-view setup.
    • Evaluated the system's accuracy in measuring finger joint flexion angles.

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    Main Results:

    • The multi-view setup significantly reduced errors in measuring finger joint flexion angles.
    • Demonstrated successful dynamic hand pose estimation, including during object interaction.
    • The system effectively mitigated occlusion issues inherent in single-camera approaches.

    Conclusions:

    • The proposed multi-view system offers a practical and accurate solution for dynamic hand motion analysis.
    • This approach enhances the capabilities of ubiquitous mobile phone cameras for clinical and research applications.
    • The method provides a cost-effective alternative to complex multi-camera setups for hand tracking.