Immersive virtual training system for myoelectric control of robotic prostheses
DOI:
https://doi.org/10.17979/ja-cea.2026.47.13840Keywords:
Assistive technology and rehabilitation engineering, Bio-signals analysis and interpretation, Work in real and virtual environments, Biomedical system modeling, simulation and visualization, Robotics technologyAbstract
The development of myoelectric robotic prostheses has improved the autonomy of people with limb loss, although their high cost and the complexity of muscle control lead to high abandonment rates. In order to solve this problem, a virtual reality training system has been created for users with transradial amputation, allowing them to train their prosthetic control before acquiring the physical device. This system integrates EMG acquisition using the Noraxon miniDTS device, signal processing and classification in MATLAB, control through ROS 2 and a virtual environment in Unity that incorporates the RH8D hand model, visualized with an Oculus Quest. Validation with healthy subjects has shown improvements in execution time, good usability and a high potential as an efficient, low-cost alternative to conventional pre-prosthetic rehabilitation.
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Copyright (c) 2026 Pablo Orgiler, Cristina Romero, Raquel Martínez-Pérez, Andrés Úbeda, Gabriel J. García
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
