Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift-Reference-Cited by-同舟云学术

Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift

Published:2022-12 Issue:6 Volume:52 Page:1271-1280
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Chan Patrick P. K.¹^ORCID,Li Qiuxia¹^ORCID,Fang Yinfeng²^ORCID,Xu Linyi¹^ORCID,Li Kairu³^ORCID,Liu Honghai⁴,Yeung Daniel S.⁵^ORCID

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

2. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China

3. School of Electrical Engineering, Shenyang University of Technology, Shenyang, Liaoning, China

4. School of Computing, University of Portsmouth, Portsmouth, U.K.

5. IEEE Systems, Man, and Cybernetics Society, Hong Kong, China

Funder

Natural Science Foundation of Guangdong Province, China

Fundamental Research Funds for the Central Universities

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/ielx7/6221037/9950430/09807449.pdf?arnumber=9807449

Reference30 articles.

1. Random forest versus logistic regression: a large-scale benchmark experiment

2. Simultaneous control of multiple functions of bionic hand prostheses: Performance and robustness in end users

3. Electrode-shift tolerant myoelectric movement-pattern classification using extreme learning for adaptive sparse representations

4. Combining Improved Gray-Level Co-Occurrence Matrix With High Density Grid for Myoelectric Control Robustness to Electrode Shift

5. High density electromyography data of normally limbed and transradial amputee subjects for multifunction prosthetic control

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