A Novel Interval Type-2 Fuzzy Classifier Based on Explainable Neural Network for Surface Electromyogram Gesture Recognition-Reference-Cited by-同舟云学术

A Novel Interval Type-2 Fuzzy Classifier Based on Explainable Neural Network for Surface Electromyogram Gesture Recognition

Published:2023-12 Issue:6 Volume:53 Page:955-964
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Lv Shuai¹^ORCID,Li Zhijun²^ORCID,Huang Jin²^ORCID,Shi Peng³^ORCID

Affiliation:

1. Institute of Advanced Technology, University of Science and Technology of China, Hefei, China

2. Department of Automation, University of Science and Technology of China, Hefei, China

3. School of Electrical and Mechanical Engineering, The University of Adelaide, Adelaide, SA, Australia

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Major Science and Technology Projects of Anhui Province

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/ielx7/6221037/10360306/10247642.pdf?arnumber=10247642

Reference32 articles.

1. Fuzzy EMG classification for prosthesis control

2. Techniques of EMG signal analysis: detection, processing, classification and applications

3. Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach

4. Improving performance of robots using human-inspired approaches: a survey

5. Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application

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