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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Detalles Bibliográficos
Main Authors: Zhiwei Zhou, Qing Tao, Na Su, Jingxuan Liu, Qingzheng Chen, Bowen Li
Formato: Artigo
Idioma:English
Publicado: MDPI AG 2024-11-01
Series:Sensors
Subjects:
surface electromyography signals
lower limb action recognition
convolutional neural network
transformer encoder
long short-term memory
Acceso en liña:https://www.mdpi.com/1424-8220/24/21/7087

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