ESECW method to process sEMG and its application in gait recognition

Cai, Can; Yao, Ligang; Xiangwen, Wei

doi:10.1109/icsp51882.2021.9408905

2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) 2021

DOI: 10.1109/icsp51882.2021.9408905

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ESECW method to process sEMG and its application in gait recognition

Can Cai

Ligang Yao

Wei Xiangwen

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2023

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Review of sEMG for Robot Control: Techniques and Applications

Song,

Yan,

Guo

et al. 2023

Applied Sciences

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Surface electromyography (sEMG) is a promising technology that can capture muscle activation signals to control robots through novel human–machine interfaces (HMIs). This technology has already been applied in scenarios such as prosthetic design, assisted robot control, and rehabilitation training. This article provides an overview of sEMG-based robot control, covering two important aspects: (1) sEMG signal processing and classification methods and (2) robot control strategies and methods based on sEMG. First, the article outlines the general steps in sEMG signal processing and summarizes the commonly used methods for data acquisition, pre-processing, and feature extraction. In addition, machine-learning-based pattern recognition methods have been introduced for sEMG signal classification. Subsequently, user intent-based robot control strategies are classified into three categories: full-human continuous control, semi-autonomous continuous control, and discrete control, and their control methods and applicable scenarios are compared. Finally, this article discusses the advantages, disadvantages, and future development prospects of sEMG-based robot control. This review provides a comprehensive overview of sEMG-based robot control, from signal processing and classification methods to robot control strategies and methods, aiming to guide future research on selecting filters, feature sets, and pattern recognition methods and to assist in establishing sEMG-driven robot control frameworks.

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Review of sEMG for Robot Control: Techniques and Applications

Song,

Yan,

Guo

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

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ESECW method to process sEMG and its application in gait recognition

Cited by 1 publication

References 11 publications

Review of sEMG for Robot Control: Techniques and Applications

Review of sEMG for Robot Control: Techniques and Applications

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