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Updated: Feb 8, 2026

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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
Published on: November 6, 2015
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A Novel Tactile-Triggered Control Strategy for Prosthetic Hands: Design and Performance Verification
Summary
A new tactile-triggered system offers improved prosthetic hand control by using touch signals instead of surface electromyogram (sEMG) signals. This method enhances grasping stability and reduces user fatigue, outperforming traditional EMG pattern recognition.
Area of Science:
- Biomedical Engineering
- Robotics
- Human-Computer Interaction
Background:
- Surface electromyogram (sEMG) based prosthetic hand control faces challenges due to signal variability and limited residual muscle function in amputees.
- Tactile signals offer crucial haptic feedback for object manipulation, presenting a potential alternative or supplement to EMG for prosthetic control.
Purpose of the Study:
- To propose and validate a novel tactile-triggered method for motion intent recognition and prosthetic hand control.
- To compare the performance of the tactile-triggered system against traditional EMG pattern recognition (EMG-PR) control.
Main Methods:
- Implemented a finite state machine (FSM) using a multi-axis tactile sensor for tactile-triggered motion intent recognition.
- Developed an integrated prosthetic hand control system incorporating the tactile-triggered method.
- Conducted validation tests with both able-bodied and transradial-amputee participants, comparing against EMG-PR.
Main Results:
- The tactile-triggered control strategy demonstrated effective prosthetic hand opening/closing control, enabling stable grasping of various objects.
- This method significantly reduced performance degradation due to arm posture changes compared to EMG-PR.
- The system exhibited superior grasping stability and avoided user muscle fatigue.
Conclusions:
- The tactile-triggered approach presents a promising, stable, and user-friendly prosthetic hand control strategy.
- It can serve as a non-EMG control paradigm or a complementary system to myoelectric control.
- This method addresses key limitations of current EMG-based prosthetic control systems.
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