Self-adaptive Method for sEMG Movement Classification Based on Continuous Optimal Electrode Assortment
por: Favieiro, Gabriela, et al.
Publicado em: (2016)
Optimization of Features to Classify Upper-Limb Movements Through sEMG Signal Processing
This paper aims to present the development of a computational intelligence method based on Regularized Logistic Regression able to classify 17 distinguish upper-limb movements through the sEMG signal processing. The choose of the tuning parameters of the regularization and the generation of the diff...
| Principais autores: | Cene, Vinicius Horn, Balbinot, Alexandre |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universidade Tecnológica Federal do Paraná (UTFPR)
2016
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| Acesso em linha: |
http://periodicos.utfpr.edu.br/bjic/article/view/4878 |
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