Novel approach for electromyography-controlled prostheses based on facial action.

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Neuroprosthetics

Background:

• Individuals with severe tetraplegia often rely on limited body movements, typically above the neck, to operate assistive devices.
• Electromyography (EMG) signals from facial muscle contractions offer a potential pathway for generating multiple command signals.

Purpose of the Study:

• To develop and validate a novel electromyography (EMG)-controlled system for prosthetic devices based on facial actions.
• To enable individuals with severe tetraplegia to control a two-degree-of-freedom (2-DOF) prosthesis using facial muscle signals.

Main Methods:

• A novel EMG-controlled system was developed, processing facial action mechanisms through an EMG control model.
• Four distinct facial actions (asymmetric and symmetric) were defined to control a 2-DOF prosthesis.
• Indoor and outdoor experiments were conducted to assess the system's feasibility and performance.

Main Results:

• The developed system demonstrated high performance in controlling the 2-DOF prosthesis.
• Experimental results validated the feasibility of EMG-controlled prostheses based on facial actions in both indoor and outdoor settings.
• The new paradigm proved to be an efficient control method for prosthesis applications.

Conclusions:

• The novel EMG-controlled system based on facial actions provides an effective and high-performance solution for prosthetic control.
• This technology holds significant potential for improving the independence and quality of life for individuals with severe tetraplegia.
• Facial EMG offers a viable and efficient control interface for advanced assistive devices.