Gesture Recognition by Ensemble Extreme Learning Machine Based on Surface Electromyography Signals

In the recent years, gesture recognition based on the surface electromyography (sEMG) signals has been extensively studied. However, the accuracy and stability of gesture recognition through traditional machine learning algorithms are still insufficient to some actual application scenarios. To enhan...

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Detalles Bibliográficos
Autores principales: Peng, Fulai, Chen, Cai, Lv, Danyang, Zhang, Ningling, Wang, Xingwei, Zhang, Xikun, Wang, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243223/
https://www.ncbi.nlm.nih.gov/pubmed/35782048
http://dx.doi.org/10.3389/fnhum.2022.911204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243223/
https://www.ncbi.nlm.nih.gov/pubmed/35782048
http://dx.doi.org/10.3389/fnhum.2022.911204

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