Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Jose Ruiz-Pinales"'
Publikováno v:
Sensors, Vol 24, Iss 12, p 3968 (2024)
This work addresses the challenge of classifying multiclass visual EEG signals into 40 classes for brain–computer interface applications using deep learning architectures. The visual multiclass classification approach offers BCI applications a sign
Externí odkaz:
https://doaj.org/article/15a625719c6f4dd3893f3ef74d27c8d3
Autor:
Tat’y Mwata-Velu, Armando Navarro Rodríguez, Yanick Mfuni-Tshimanga, Richard Mavuela-Maniansa, Jesús Alberto Martínez Castro, Jose Ruiz-Pinales, Juan Gabriel Avina-Cervantes
Publikováno v:
Mathematics, Vol 11, Iss 21, p 4409 (2023)
Brain–Computer Interfaces (BCIs) communicate between a given user and their nearest environment through brain signals. In the case of device handling, an accurate control-based BCI depends essentially on how the user performs corresponding mental t
Externí odkaz:
https://doaj.org/article/203e8654e0c74f95ab01e7a725bb81f9
Autor:
Tat’y Mwata-Velu, Edson Niyonsaba-Sebigunda, Juan Gabriel Avina-Cervantes, Jose Ruiz-Pinales, Narcisse Velu-A-Gulenga, Adán Antonio Alonso-Ramírez
Publikováno v:
Sensors, Vol 23, Iss 8, p 4164 (2023)
Nowadays, Brain–Computer Interfaces (BCIs) still captivate large interest because of multiple advantages offered in numerous domains, explicitly assisting people with motor disabilities in communicating with the surrounding environment. However, ch
Externí odkaz:
https://doaj.org/article/2bc93634d2cc430697b25074e2a49eff
Autor:
Emmanuel Ovalle-Magallanes, Noe G. Aldana-Murillo, Juan Gabriel Avina-Cervantes, Jose Ruiz-Pinales, Jonathan Cepeda-Negrete, Sergio Ledesma
Publikováno v:
IEEE Access, Vol 9, Pp 6868-6877 (2021)
Autonomous robot visual navigation is a fundamental locomotion task based on extracting relevant features from images taken from the surrounded environment to control an independent displacement. In the navigation, the use of a known visual map helps
Externí odkaz:
https://doaj.org/article/07c11436d0154ba587b7e75a09ed4906
Autor:
Jose Guadalupe Beltran-Hernandez, Jose Ruiz-Pinales, Pedro Lopez-Rodriguez, Jose Luis Lopez-Ramirez, Juan Gabriel Avina-Cervantes
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 5, Pp 5432-5448 (2020)
Despite the increasing use of technology, handwriting has remained to date as an efficient means of communication. Certainly, handwriting is a critical motor skill for childrens cognitive development and academic success. This article presents a new
Externí odkaz:
https://doaj.org/article/b3e644d4442b4ded98dbf673d2fc1b8e
Autor:
Pedro Lopez-Rodriguez, Juan Gabriel Avina-Cervantes, Jose Luis Contreras-Hernandez, Rodrigo Correa, Jose Ruiz-Pinales
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6707 (2022)
Online handwriting recognition has been the subject of research for many years. Despite that, a limited number of practical applications are currently available. The widespread use of devices such as smartphones, smartwatches, and tablets has not bee
Externí odkaz:
https://doaj.org/article/ccdb5691d13945fcb29969ca8cf42293
Autor:
Tat’y Mwata-Velu, Juan Gabriel Avina-Cervantes, Jose Ruiz-Pinales, Tomas Alberto Garcia-Calva, Erick-Alejandro González-Barbosa, Juan B. Hurtado-Ramos, José-Joel González-Barbosa
Publikováno v:
Mathematics, Vol 10, Iss 13, p 2302 (2022)
Recently, motor imagery EEG signals have been widely applied in Brain–Computer Interfaces (BCI). These signals are typically observed in the first motor cortex of the brain, resulting from the imagination of body limb movements. For non-invasive BC
Externí odkaz:
https://doaj.org/article/e3cf58480e804d64abf115214ffad973
Autor:
Tat’y Mwata-Velu, Juan Gabriel Avina-Cervantes, Jorge Mario Cruz-Duarte, Horacio Rostro-Gonzalez, Jose Ruiz-Pinales
Publikováno v:
Mathematics, Vol 9, Iss 24, p 3297 (2021)
Motor Imagery Electroencephalogram (MI-EEG) signals are widely used in Brain-Computer Interfaces (BCI). MI-EEG signals of large limbs movements have been explored in recent researches because they deliver relevant classification rates for BCI systems
Externí odkaz:
https://doaj.org/article/968c347c245644f3bca26cbbf6ccc1e2
Autor:
Tat’y Mwata-Velu, Jose Ruiz-Pinales, Horacio Rostro-Gonzalez, Mario Alberto Ibarra-Manzano, Jorge Mario Cruz-Duarte, Juan Gabriel Avina-Cervantes
Publikováno v:
Mathematics, Vol 9, Iss 6, p 606 (2021)
Advances in the field of Brain-Computer Interfaces (BCIs) aim, among other applications, to improve the movement capacities of people suffering from the loss of motor skills. The main challenge in this area is to achieve real-time and accurate bio-si
Externí odkaz:
https://doaj.org/article/2e167ceaae5946c583c32f04243f6b7b
Autor:
Emmanuel Ovalle-Magallanes, Juan Gabriel Avina-Cervantes, Ivan Cruz-Aceves, Jose Ruiz-Pinales
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1510 (2020)
Coronary artery disease is the most frequent type of heart disease caused by an abnormal narrowing of coronary arteries, also called stenosis or atherosclerosis. It is also the leading cause of death globally. Currently, X-ray Coronary Angiography (X
Externí odkaz:
https://doaj.org/article/bc7f44aa59bf4b41858b7eeacdb0c0b5