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

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...

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Detalles Bibliográficos
Autores principales: Jianting Fu, Shizhou Cao, Linqin Cai, Lechan Yang
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
surface EMG
EMG sensor
finger gesture recognition
convolution neural network
artificial limb
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Acceso en línea:https://doaj.org/article/a0c73a47fabd49a1b898f845c4fce494
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https://doaj.org/article/a0c73a47fabd49a1b898f845c4fce494

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