Luis G. Hernández

According to our database, Luis G. Hernández authored at least 7 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Self-paced movement intention recognition from EEG signals during upper limb robot-assisted rehabilitation.

Luis G. Hernández, Javier Mauricio Antelis

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals.

Gerardo Hernández, Luis G. Hernández, Erik Zamora, Humberto Sossa, Javier Mauricio Antelis, Omar Mendoza-Montoya, Luis Eduardo Falcón

Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification.

Fernando Arce, Omar Mendoza-Montoya, Erik Zamora, Javier Mauricio Antelis, Humberto Sossa, Jessica Cantillo-Negrete, Ruben I. Carino-Escobar, Luis G. Hernández, Luis Eduardo Falcón

Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018

EEG-Based Detection of Braking Intention Under Different Car Driving Conditions.

Luis G. Hernández, Óscar Martínez Mozos, José M. Ferrández, Javier Mauricio Antelis

Frontiers Neuroinformatics, 2018

A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals.

Luis G. Hernández, Javier Mauricio Antelis

Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Discrimination Between Normal Driving and Braking Intention from Driver's Brain Signals.

Efraín Martínez, Luis Guillermo Hernández, Javier Mauricio Antelis

Proceedings of the Bioinformatics and Biomedical Engineering, 2018

2017

Self-organizing Maps for Motor Tasks Recognition from Electrical Brain Signals.

Alvaro D. Orjuela-Cañón, Osvaldo Renteria-Meza, Luis G. Hernández, Andrés Felipe Ruiz Olaya, Alexander Cerquera, Javier Mauricio Antelis

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017