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Hand gestures classification of sEMG signals based on BiLSTM- Metaheuristic Optimization and Hybrid U-Net-MobileNetV2 Encoder Architecture

2024-04-17

Abstract excerpt

<title>Abstract</title> <p>Surface electromyography (sEMG) data has been extensively utilized in deep learning algorithms for hand movement classification. This paper aims to introduce a novel method for hand gesture classification using sEMG data, addressing accuracy challenges seen in previous studies. We propose a U-Net architecture incorporating a MobileNetV2 encoder, enhanced by a novel Bidirectional Long Sh...

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Literature Corpus work: 755da3b5-5cd0-5fd5-8570-f5add50e6ecc
DOI: 10.21203/rs.3.rs-4254210/v1

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