Hybrid Deep Learning Models for Hand Gesture Recognition with EMG Signals-Reference-Cited by-同舟云学术

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Hybrid Deep Learning Models for Hand Gesture Recognition with EMG Signals

Published:2024-05-16 Issue: Volume:55 Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)
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Author:

R Neenu¹,Titus Geevarghese²

Affiliation:

1. Computer Science & Engineering, Amal Jyothi College of Engineering, APJ Abdul Kalam Technological University,Kanjirappally,Kerala,India

2. Amal Jyothi College of Engineering,Department of Electronics and Communication Engineering,Koovappally,Kerala,India

Funder

Department of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10582048/10582049/10582166.pdf?arnumber=10582166

Reference10 articles.

1. An experimental study on upper limb position invariant EMG signal classification based on deep neural network;Mukhopadhyay;Biomedical Signal Processing and Control,2020

2. EMGHandNet: A hybrid CNN and Bi-LSTM architecture for hand activity classification using surface EMG signals

3. EMG based Hand Gesture Recognition using Deep Learning

4. Hand gesture classification using time–frequency images and transfer learning based on CNN

5. EMG hand gesture classification using handcrafted and deep features

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