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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d723dd48838430a814af7e3fa6ee256

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

About this item

Full title

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

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-11, Vol.24 (21), p.7087

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

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...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

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

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24217087

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