Improved Network and Training Scheme for Cross-Trial Surface Electromyography (sEMG)-Based Gesture Recognition

To enhance the performance of surface electromyography (sEMG)-based gesture recognition, we propose a novel network-agnostic two-stage training scheme, called sEMGPoseMIM, that produces trial-invariant representations to be aligned with corresponding hand movements via cross-modal knowledge distilla...

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Detalles Bibliográficos
Autores principales: Dai, Qingfeng, Wong, Yongkang, Kankanhali, Mohan, Li, Xiangdong, Geng, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525369/
https://www.ncbi.nlm.nih.gov/pubmed/37760203
http://dx.doi.org/10.3390/bioengineering10091101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525369/
https://www.ncbi.nlm.nih.gov/pubmed/37760203
http://dx.doi.org/10.3390/bioengineering10091101

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