sEMG-Based Drawing Trace Reconstruction: A Novel Hybrid Algorithm Fusing Gene Expression Programming into Kalman Filter

How to reconstruct drawing and handwriting traces from surface electromyography (sEMG) signals accurately has attracted a number of researchers recently. An effective algorithm is crucial to reliable reconstruction. Previously, nonlinear regression methods have been utilized successfully to some ext...

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Detalles Bibliográficos
Autores principales: Yang, Zhongliang, Wen, Yangliang, Chen, Yumiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210803/
https://www.ncbi.nlm.nih.gov/pubmed/30274386
http://dx.doi.org/10.3390/s18103296

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210803/
https://www.ncbi.nlm.nih.gov/pubmed/30274386
http://dx.doi.org/10.3390/s18103296

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