Gesture recognition of continuous wavelet transform and deep convolution attention network

Gesture recognition of continuous wavelet transform and deep convolution attention network

To solve the problem of missing data features using a deep convolutional neural network (DCNN), this paper proposes an improved gesture recognition method. The method first extracts the time-frequency spectrogram of surface electromyography (sEMG) using the continuous wavelet transform. Then, the Sp...

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Bibliographic Details
Main Authors: Xiaoguang Liu, Mingjin Zhang, Jiawei Wang, Xiaodong Wang, Tie Liang, Jun Li, Peng Xiong, Xiuling Liu
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
semg
gesture recognition
continuous wavelet transform
dcnn
sam
residual module
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023493?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023493?viewType=HTML

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