WITHDRAWN: Sewing-driving training optimization-enabled feature selection and hand gesture recognition with deep residual network using sEMG signal-Reference-Cited by-同舟云学术

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WITHDRAWN: Sewing-driving training optimization-enabled feature selection and hand gesture recognition with deep residual network using sEMG signal

Published:2023-12 Issue: Volume: Page:104026
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Khattak Abid Saeed,Zain Azlan bin Mohd,Hassan Rohayanti,Nazar Fakhra,Haris Muhammad,Ahmed Bilal Ashfaq

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference34 articles.

1. EMGHandNet: A hybrid CNN and Bi-LSTM architecture for hand activity classification using surface EMG signals;Karnam;Biocybernetics and Biomedical Engineering,2022

2. A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition;Hu;PloS one,2018

3. High accurate lightweight deep learning method for gesture recognition based on surface electromyography;Bahador;Computer Methods and Programs in Biomedicine,2020

4. sEMG-based recognition of composite motion with convolutional neural network;Qi;Sensors and Actuators A: Physical,2020

5. Surface EMG-based instantaneous hand gesture recognition using convolutional neural network with the transfer learning method;Yu;Sensors,2021

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