Integrating computer vision to prosthetic hand control with sEMG: Preliminary results in grasp classification

The myoelectric prosthesis is a promising tool to restore the hand abilities of amputees, but the classification accuracy of surface electromyography (sEMG) is not high enough for real-time application. Researchers proposed integrating sEMG signals with another feature that is not affected by amputa...

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Detalles Bibliográficos
Autores principales: Wang, Shuo, Zheng, Jingjing, Huang, Ziwei, Zhang, Xiaoqin, Prado da Fonseca, Vinicius, Zheng, Bin, Jiang, Xianta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538562/
https://www.ncbi.nlm.nih.gov/pubmed/36212614
http://dx.doi.org/10.3389/frobt.2022.948238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538562/
https://www.ncbi.nlm.nih.gov/pubmed/36212614
http://dx.doi.org/10.3389/frobt.2022.948238

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