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
|
| Acesso em linha: |
http://periodicos.utfpr.edu.br/bjic/article/view/4878 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|