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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    Virtual reality (VR) aids amputee rehabilitation by simulating prosthetics. However, inertial measurement unit (IMU) sensors show significant integration errors, limiting their use in tracking prosthetic arm movement for virtual environments.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Virtual Reality Applications

    Background:

    • Virtual reality (VR) offers potential for early amputee rehabilitation before prosthesis fitting.
    • A key challenge is accurately tracking prosthetic limb movement within a virtual environment (VE).
    • Success relies on precise position and orientation data transmission to the VE.

    Purpose of the Study:

    • To evaluate the feasibility of using an inertial measurement unit (IMU) and linear displacement sensor for tracking prosthetic arm movement in VR.
    • To assess the accuracy of sensor data for early-stage amputee rehabilitation.

    Main Methods:

    • An IMU and a linear displacement sensor were attached to a prosthetic arm.
    • The prosthetic arm's movement was tracked within a virtual environment.
    • Data integration and accuracy were analyzed, considering microelectromechanical systems (MEMS) advancements.

    Main Results:

    • Preliminary results indicate that integration errors with IMU sensors are too significant for accurate position measurement.
    • Current MEMS sensor technology integration challenges hinder reliable prosthetic arm tracking in VEs.
    • The chosen sensor combination may not meet the required accuracy standards for this application.

    Conclusions:

    • IMUs, despite advancements in MEMS technology, are currently not suitable for precise prosthetic arm position tracking in VR rehabilitation.
    • Further research is needed to develop more accurate sensor technologies or integration methods for VR-based amputee rehabilitation.
    • The findings highlight limitations in current technology for effective virtual environment-assisted prosthetic rehabilitation.