Virtual Reality for Evaluating Prosthetic Hand Control Strategies: A Preliminary Report

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Human-Computer Interaction

Background:

• Prosthetic hand abandonment is high due to limited functionality.
• Advanced control strategies like myoelectric signal processing are key to improving usability.
• Bridging the gap between laboratory research and clinical application is essential.

Purpose of the Study:

• To create a virtual prosthetic control environment for evaluating dexterity and control strategies.
• To facilitate faster experimentation and clinical translation of prosthetic hand technologies.

Main Methods:

• Developed a two-part virtual environment: Unity for rendering/interaction and Python for physics/communication.
• Integrated virtual reality (VR) headset tracking for intuitive hand manipulation without extra hardware.
• Demonstrated prosthetic hand actuation via decoded EMG signals, hand tracking, and VR controller input.

Main Results:

• The virtual environment allows for visualization and manipulation of a virtual prosthetic hand.
• Multiple control modalities (EMG, hand tracking, VR controller) were successfully demonstrated.
• The platform provides a flexible means to investigate various prosthetic control approaches.

Conclusions:

• The developed virtual environment offers a powerful tool for prosthetic hand research and development.
• It enables efficient evaluation of control strategies and accelerates clinical translation.
• This platform can significantly advance the field of prosthetic limb control and amputee rehabilitation.