CSAC-Net: Fast Adaptive sEMG Recognition through Attention Convolution Network and Model-Agnostic Meta-Learning

CSAC-Net: Fast Adaptive sEMG Recognition through Attention Convolution Network and Model-Agnostic Meta-Learning

Gesture recognition through surface electromyography (sEMG) provides a new method for the control algorithm of bionic limbs, which is a promising technology in the field of human–computer interaction. However, subject specificity of sEMG along with the offset of the electrode makes it challenging to...

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Bibliographic Details
Main Authors: Xinchen Fan, Lancheng Zou, Ziwu Liu, Yanru He, Lian Zou, Ruan Chi
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
surface electromyography
gesture recognition
meta-learning
attention convolution network
short time Fourier transform
Online Access:https://www.mdpi.com/1424-8220/22/10/3661

Internet

https://www.mdpi.com/1424-8220/22/10/3661

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