Lower Limb Motion Recognition Based on sEMG and CNN-TL Fusion Model

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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Bibliografske podrobnosti
Main Authors: Zhiwei Zhou, Qing Tao, Na Su, Jingxuan Liu, Qingzheng Chen, Bowen Li
Format: Article
Jezik:English
Izdano: MDPI AG 2024-11-01
Serija:Sensors
Teme:
surface electromyography signals
lower limb action recognition
convolutional neural network
transformer encoder
long short-term memory
Online dostop:https://www.mdpi.com/1424-8220/24/21/7087

Internet

https://www.mdpi.com/1424-8220/24/21/7087

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