Cargando…
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...
Autores principales: | Wang, Shuo, Zheng, Jingjing, Zheng, Bin, Jiang, Xianta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869734/ https://www.ncbi.nlm.nih.gov/pubmed/35200318 http://dx.doi.org/10.3390/bios12020057 |
Ejemplares similares
-
Integrating computer vision to prosthetic hand control with sEMG: Preliminary results in grasp classification
por: Wang, Shuo, et al.
Publicado: (2022) -
Evaluation of User-Prosthesis-Interfaces for sEMG-Based Multifunctional Prosthetic Hands
por: Fajardo, Julio, et al.
Publicado: (2021) -
Feature–Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures
por: Asfour, Mohammed, et al.
Publicado: (2022) -
sEMG Sensor Using Polypyrrole-Coated Nonwoven Fabric Sheet for Practical Control of Prosthetic Hand
por: Jiang, Yinlai, et al.
Publicado: (2017) -
Simultaneous sEMG Classification of Hand/Wrist Gestures and Forces
por: Leone, Francesca, et al.
Publicado: (2019)