Online cross session electromyographic hand gesture recognition using deep learning and transfer learning-Reference-Cited by-同舟云学术

Online cross session electromyographic hand gesture recognition using deep learning and transfer learning

Published:2024-01 Issue: Volume:127 Page:107251
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Zhen^ORCID,Liu Shilong,Wang Yanyu,Song Wei,Zhang Yuhui

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference39 articles.

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5. Real-time hand gesture recognition by decoding motor unit discharges across multiple motor tasks from surface electromyography;Chen;IEEE (Inst. Electr. Electron. Eng.) Trans. Biomed. Eng.,2023

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1. An extended variational autoencoder for cross-subject electromyograph gesture recognition;Biomedical Signal Processing and Control;2025-01

2. A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends;Applied Soft Computing;2024-11

3. A federated transfer learning approach for surface electromyographic hand gesture recognition with emphasis on privacy preservation;Engineering Applications of Artificial Intelligence;2024-10

4. A Frequency-Based Attention Neural Network and Subject-Adaptive Transfer Learning for sEMG Hand Gesture Classification;IEEE Robotics and Automation Letters;2024-09

5. Electromyographic hand gesture recognition using convolutional neural network with multi-attention;Biomedical Signal Processing and Control;2024-05