Evaluation of the effectiveness of PCA and ICA in improving muscle movement recognition from raw EMG signals
In the last decade, the development of classification models through machine learning for the control of multifunctional prosthetic devices has been increasing. Electromyography (EMG) are recordings produced by muscle fibers naturally when performing movements; if modeled, they could play a more act...
Guardado en:
Autores principales: | Amezquita Garcia, Jose Alejandro, Bravo Zanoguera, Miguel Enrique, Fabian Natanael |
---|---|
Formato: | Online |
Lenguaje: | spa |
Publicado: |
Universidad Autónoma de Baja California
2023
|
Acceso en línea: | https://recit.uabc.mx/index.php/revista/article/view/318 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Wheelchair automation using electromyographic signals obtained from facial movements
por: García García, Jesús, et al.
Publicado: (2023) -
Control of mechanisms through electroencephalographic signals
por: Ramírez Arias, Francisco Javier.
Publicado: (2023) -
The Evaluation of the Impact of Training as a Strategy of Improvement in the Organizations
por: Tejada Fernández, José, et al.
Publicado: (2007) -
Weaknesses of the Quality Evaluation Process in the Spanish University: Causes, Consequences and Proposals for Improvement
por: Rodríguez Sabiote, Clemente, et al.
Publicado: (2003) -
Affective Recognition and Gamification Applied to Learning Algorithmic Logic and Programming
por: Zatarain Cabada, Ramón
Publicado: (2018)