LimbMATE: A Versatile Platform for Closed-Loop Research in Prosthetics
The rapid advancements in machine learning methodologies carry a wide potential to match the increasing control demands of modern robotic hands. In particular, myoelectric pattern recognition is recognized nowadays as a viable means to facilitate the multi-functional control of prosthetic devices, f...
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| Main Authors: | Erik Gasparini, Rodolfo Cerqueira, Carlo Preziuso, Lucia Angelini, Robinson Guachi, Marco Controzzi, Christian Cipriani, Enzo Mastinu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11015816/ |
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