Phase-Based Grasp Classification for Prosthetic Hand Control Using sEMG

Phase-Based Grasp Classification for Prosthetic Hand Control Using sEMG

Pattern recognition using surface Electromyography (sEMG) applied on prosthesis control has attracted much attention in these years. In most of the existing methods, the sEMG signal during the firmly grasped period is used for grasp classification because good performance can be achieved due to its...

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Bibliographic Details
Main Authors: Shuo Wang, Jingjing Zheng, Bin Zheng, Xianta Jiang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Biosensors
Subjects:
myoelectric prosthesis
sEMG
grasp phases analysis
grasp classification
machine learning
Online Access:https://www.mdpi.com/2079-6374/12/2/57

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