Lower Limb Motion Recognition Based on sEMG and CNN-TL Fusion Model
To enhance the classification accuracy of lower limb movements, a fusion recognition model integrating a surface electromyography (sEMG)-based convolutional neural network, transformer encoder, and long short-term memory network (CNN-Transformer-LSTM, CNN-TL) was proposed in this study. By combining...
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          | Main Authors: | , , , , , | 
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| Format: | Article | 
| Language: | English | 
| Published: | MDPI AG
    
        2024-11-01 | 
| Series: | Sensors | 
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/21/7087 | 
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