Electromyography Based Decoding of Dexterous, In-Hand Manipulation Motions With Temporal Multichannel Vision Transformers-Reference-Cited by-同舟云学术

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

Published:2022 Issue: Volume:30 Page:2207-2216
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Godoy Ricardo V.¹^ORCID,Dwivedi Anany²^ORCID,Liarokapis Minas¹^ORCID

Affiliation:

1. Department of Mechanical and Mechatronics Engineering, New Dexterity Research Group, The University of Auckland, Auckland, New Zealand

2. Chair of Autonomous Systems and Mechatronics, Friedrich-Alexander-Universität Erlangen-Nôrnberg, Erlangen, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9695946/09851477.pdf?arnumber=9851477

Reference32 articles.

1. Layer normalization;ba;arXiv 1607 06450,2016

2. Deep Residual Learning for Image Recognition

3. Dropout: A simple way to prevent neural networks from overfitting;srivastava;J Mach Learn Res,2014

4. Surface EMG for force control of mechanical hands

5. A Learning Scheme for Reach to Grasp Movements: On EMG-Based Interfaces Using Task Specific Motion Decoding Models

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