Deep Augmentation for Electrode Shift Compensation in Transient High-density sEMG: Towards Application in Neurorobotics-Reference-Cited by-同舟云学术

Deep Augmentation for Electrode Shift Compensation in Transient High-density sEMG: Towards Application in Neurorobotics

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Sun Tianyun¹,Libby Jacqueline²,Rizzo JohnRoss³,Atashzar S. Farokh⁴

Affiliation:

1. New York University,Department of Electrical and Computer Engineering,New York,NY,USA,11201

2. NYU Center for Urban Science and Progress (CUSP),New York,NY,USA

3. NYU School of Medicine,New York,NY,10016

4. NYU Center for Urban Science and Progress (CUSP), New York University,Department of Electrical and Computer Engineering and with the Department of Mechanical and Aerospace Engineering and with NYU WIRELESS,New York,NY,USA,11201

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981786.pdf?arnumber=9981786

Reference27 articles.

1. Resolving the Limb Position Effect in Myoelectric Pattern Recognition

2. Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use

3. Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

4. A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control

5. A training strategy to reduce classification degradation due to electrode displacements in pattern recognition based myoelectric control

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3. ViT-MDHGR: Cross-Day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding;IEEE Journal of Selected Topics in Signal Processing;2024-04

4. Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals;Scientific Reports;2023-07-07