Optimization of HD-sEMG-Based Cross-Day Hand Gesture Classification by Optimal Feature Extraction and Data Augmentation-Reference-Cited by-同舟云学术

Optimization of HD-sEMG-Based Cross-Day Hand Gesture Classification by Optimal Feature Extraction and Data Augmentation

Published:2022-12 Issue:6 Volume:52 Page:1281-1291
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Jiang Xinyu¹^ORCID,Liu Xiangyu²,Fan Jiahao¹^ORCID,Ye Xinming³^ORCID,Dai Chenyun¹^ORCID,Clancy Edward A.⁴^ORCID,Farina Dario⁵^ORCID,Chen Wei¹^ORCID

Affiliation:

1. Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, China

2. College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, China

3. School of Sports Science and Engineering, East China University of Science and Technology, Shanghai, China

4. Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA

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

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/9950430/09782305.pdf?arnumber=9782305

Reference42 articles.

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4. Computational Methods of Feature Selection

5. Laplacian score for feature selection;he;Advances in neural information processing systems,2006

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