Joint torque estimation for the human arm from sEMG using backpropagation neural networks and autoencoders-Reference-Cited by-同舟云学术

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Joint torque estimation for the human arm from sEMG using backpropagation neural networks and autoencoders

Published:2020-09 Issue: Volume:62 Page:102051
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Huang Yanjiang^ORCID,Chen Kaibin,Zhang Xianmin^ORCID,Wang Kai,Ota Jun

Funder

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Guangzhou Municipal Scientific and Technological Project

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference43 articles.

1. Cognition-enabled robot manipulation in human environments: requirements, recent work, and open problems;Ersen;IEEE Robot. Autom. Mag.,2017

2. Efficient human-robot collaboration: when should a robot take initiative?;Baraglia;Int. J. Rob. Res.,2017

3. Recognizing the gradual changes in sEMG characteristics based on incremental learning of wavelet neural network ensemble;Duan;IEEE Trans. Ind. Electron.,2017

4. Development of an SEMG-Handgrip force model based on cross model selection;Wang;IEEE Sens. J.,2019

5. Estimation of human arm motion based on sEMG in human-robot cooperative manipulation;Huang,2018

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1. A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends;Applied Soft Computing;2024-11

2. Comparing the efficiency of recurrent neural networks to EMG-based continuous estimation of the elbow angle;Neural Computing and Applications;2024-07-29

3. S-WD-EEMD: A hybrid framework for imbalanced sEMG signal analysis in diagnosis of human knee abnormality;PLOS ONE;2024-05-31

4. An overview of transfer nursing robot: Classification, key technology, and trend;Robotics and Autonomous Systems;2024-04

5. Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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