Training-Free Bayesian Self-Adaptive Classification for sEMG Pattern Recognition Including Motion Transition-Reference-Cited by-同舟云学术

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Training-Free Bayesian Self-Adaptive Classification for sEMG Pattern Recognition Including Motion Transition

Published:2020-06 Issue:6 Volume:67 Page:1775-1786
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Park Seongsik^ORCID,Chung Wan Kyun^ORCID,Kim Keehoon^ORCID

Funder

Global Frontier R&D Program on <Human-centered Interaction for Coexistence>

National Research Foundation of Korea

Ministry of Science, ICT & Future Planning

Convergence Technology Development Program for Bionic Arm through the NRF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9097267/08867968.pdf?arnumber=8867968

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive sEMG Pattern Recognition Algorithm using Principal Component Analysis;Journal of Korea Robotics Society;2024-08-31

2. Bayesian Onset Measure of sEMG for Fall Prediction;Journal of Korea Robotics Society;2024-05-31

3. Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition;Engineering Applications of Artificial Intelligence;2024-04

4. sEMG-Based Gesture Recognition Using Temporal History;IEEE Transactions on Biomedical Engineering;2023-09

5. Cross-Modal Integration and Transfer Learning Using Fuzzy Logic Techniques for Intelligent Upper Limb Prosthesis;IEEE Transactions on Fuzzy Systems;2023-04

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