Lower Limb Motion Recognition Based on sEMG and CNN-TL Fusion Model
Lower Limb Motion Recognition Based on sEMG and CNN-TL Fusion Model
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Author / Creator
Zhou, Zhiwei , Tao, Qing , Su, Na , Liu, Jingxuan , Chen, Qingzheng and Li, Bowen
Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
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 these advanced techniques, significant improvemen...
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Full title
Lower Limb Motion Recognition Based on sEMG and CNN-TL Fusion Model
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TN_cdi_doaj_primary_oai_doaj_org_article_3d723dd48838430a814af7e3fa6ee256
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d723dd48838430a814af7e3fa6ee256
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24217087