Hand gesture recognition using smooth wavelet packet transformation and hybrid CNN based on surface EMG and accelerometer signal

Author:

Wang Le,Fu Jianting,Chen Hui,Zheng Bin

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference45 articles.

1. Luo, Research on hand gesture EMG recognition based on long-term and short-term memory and convolutional neural network [J];Chen;J. Instrum.,2021

2. Gesture recognition of RGB and RGB-D static images using convolutional neural networks;Khari;Int. J. Interact. Multim. Artif. Intell.,2019

3. B. You, H. Wang, L. Huang, The system of sEMG recognition for prosthetic hand control, in: International Forum on Strategic Technology 2010, 2010, IEEE, pp. 44–49.

4. A framework for hand gesture recognition based on accelerometer and EMG sensors;Zhang;IEEE Trans. Syst. Man Cybern.-Part A: Syst. Humans,2011

5. Classification of finger movements for the dexterous hand prosthesis control with surface electromyography;Al-Timemy;IEEE J. Biomed. Health Inform.,2013

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