Finger Gesture Recognition Using Sensing and Classification of Surface Electromyography Signals With High-Precision Wireless Surface Electromyography Sensors

Finger gesture recognition (FGR) plays a crucial role in achieving, for example, artificial limb control and human-computer interaction. Currently, the most common methods of FGR are visual-based, voice-based, and surface electromyography (EMG)-based ones. Among them, surface EMG-based FGR is very p...

Descripción completa

Detalles Bibliográficos
Autores principales: Fu, Jianting, Cao, Shizhou, Cai, Linqin, Yang, Lechan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Computational Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631921/
https://www.ncbi.nlm.nih.gov/pubmed/34858158
http://dx.doi.org/10.3389/fncom.2021.770692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631921/
https://www.ncbi.nlm.nih.gov/pubmed/34858158
http://dx.doi.org/10.3389/fncom.2021.770692

Ejemplares similares