Myo Transformer Signal Classification for an Anthropomorphic Robotic Hand

Myo Transformer Signal Classification for an Anthropomorphic Robotic Hand

The evolution of anthropomorphic robotic hands (ARH) in recent years has been sizable, employing control techniques based on machine learning classifiers for myoelectric signal processing. This work introduces an innovative multi-channel bio-signal transformer (MuCBiT) for surface electromyography (...

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Bibliographic Details
Main Authors: Bolivar Núñez Montoya, Edwin Valarezo Añazco, Sara Guerrero, Mauricio Valarezo-Añazco, Daniela Espin-Ramos, Carlos Jiménez Farfán
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Prosthesis
Subjects:
convolutional transformer
deep learning
bionic prosthetics
EMG data classification
anthropomorphic robotic hand
Online Access:https://www.mdpi.com/2673-1592/5/4/88

Internet

https://www.mdpi.com/2673-1592/5/4/88

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