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Related Experiment Video

Updated: Jun 12, 2026

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits
07:34

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits

Published on: November 23, 2019

Compliant Magnetic Sensor Arrays Enable Real-Time Force Myogram Pattern Recognition for Dexterous Hand Control by

Wen-Yu Cheng, Erik D Engeberg

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |June 10, 2026
    PubMed
    Summary
    This summary is machine-generated.

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    A natural biomimetic prosthetic hand with neuromorphic tactile sensing for precise and compliant grasping.

    Science advances·2025

    New force myography (FMG) sensors offer intuitive control for prosthetic hands. These wearable sensors enable amputees to achieve high accuracy in real-time artificial hand control, advancing prosthetic technology.

    Area of Science:

    • Biomedical Engineering
    • Robotics
    • Human-Computer Interaction

    Background:

    • Traditional electromyography (EMG) for prosthetic control has limitations.
    • Force myography (FMG) presents a promising alternative for inferring user intentions.
    • Improved techniques are needed for real-time control of dexterous prosthetic hands.

    Purpose of the Study:

    • To introduce novel compliant magnetic FMG sensor arrays for forearm muscle pattern recognition.
    • To enable real-time control of a dexterous artificial hand using FMG.
    • To assess the customizability and performance of FMG sensor arrays for upper limb amputees.

    Main Methods:

    • Fabrication of 18 or 24-module compliant magnetic FMG sensor arrays using 3D scanning and printing.
    • Real-time control experiments with ten subjects (including three upper limb amputees).

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    Last Updated: Jun 12, 2026

    Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits
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    Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits

    Published on: November 23, 2019

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    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

    Published on: January 7, 2019

  • Application of Principal Component Analysis (PCA) for sensor selection and accuracy improvement.

    • Main Results:

    • All 10 subjects achieved an average accuracy of 93.64% ± 2.90% in real-time control of 16.20 ± 3.68 grasp classes.
    • PCA-informed sensor selection improved accuracy for seven out of ten subjects.
    • The FMG sensor arrays demonstrated high practicality with a signal-to-noise ratio (SNR) of 34.51 dB ± 1.49 dB.

    Conclusions:

    • The developed compliant magnetic FMG sensor arrays enable practical and accurate real-time control of prosthetic hands.
    • The customizability of the sensor arrays addresses varying limb differences.
    • An open-source FMG dataset is provided to foster research in prosthetics, tactile sensing, and robotics.