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...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhiwei Zhou, Qing Tao, Na Su, Jingxuan Liu, Qingzheng Chen, Bowen Li
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
surface electromyography signals
lower limb action recognition
convolutional neural network
transformer encoder
long short-term memory
Online Access:https://www.mdpi.com/1424-8220/24/21/7087
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items