Electromyography Based Decoding of Dexterous, In-Hand Manipulation Motions With Temporal Multichannel Vision Transformers

Electromyography Based Decoding of Dexterous, In-Hand Manipulation Motions With Temporal Multichannel Vision Transformers

Electromyography (EMG) signals have been used in designing muscle-machine interfaces (MuMIs) for various applications, ranging from entertainment (EMG controlled games) to human assistance and human augmentation (EMG controlled prostheses and exoskeletons). For this, classical machine learning metho...

Full description

Bibliographic Details
Main Authors: Ricardo V. Godoy, Anany Dwivedi, Minas Liarokapis
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Electromyography
motion decoding
dexterous manipulation
deep learning
transformers
Online Access:https://ieeexplore.ieee.org/document/9851477/

Internet

https://ieeexplore.ieee.org/document/9851477/

Similar Items