A BERT Based Method for Continuous Estimation of Cross-Subject Hand Kinematics From Surface Electromyographic Signals-Reference-Cited by-同舟云学术

A BERT Based Method for Continuous Estimation of Cross-Subject Hand Kinematics From Surface Electromyographic Signals

Published:2023 Issue: Volume:31 Page:87-96
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Lin Chuang¹,Chen Xingjian²,Guo Weiyu³,Jiang Ning⁴,Farina Dario⁵^ORCID,Su Jingyong²^ORCID

Affiliation:

1. School of Information Science and Technology, Dalian Maritime University, Dalian, China

2. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

3. Artificial Intelligence Thrust, Hong Kong University of Science and Technology, Sai Kung, Hong Kong

4. National Clinical Research Center for Geriatrics, West China Hospital Sichuan University, and the Med-X Center for Manufacturing, Sichuan University, Chengdu, China

5. Department of Bioengineering, Imperial College London, London, U.K.

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/09927168.pdf?arnumber=9927168

Reference31 articles.

1. A Survey on Transfer Learning

2. Translating sEMG signals to continuous hand poses using recurrent neural networks

3. Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

4. Improving sEMG-based motion intention recognition for upper-limb amputees using transfer learning

5. Efficient transformers: A survey;tay;ACM Comput Surv,2022

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