Classification and simulation of process of linear change for grip force at different grip speeds by using supervised learning based on sEMG

作者：

Highlights：

• The process of linear change for grip force can be accurately simulated by sEMG.

• The different grip patterns can be accurately classified by sEMG.

• The NLMS overcomes the defects of traditional denoising method.

摘要

•The process of linear change for grip force can be accurately simulated by sEMG.•The different grip patterns can be accurately classified by sEMG.•The NLMS overcomes the defects of traditional denoising method.

论文关键词：Surface electromyography (sEMG),Grip speed,Grip force,Simulate,Adaptive filter,Classification

论文评审过程：Received 1 March 2022, Revised 24 May 2022, Accepted 4 June 2022, Available online 6 June 2022, Version of Record 24 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117785