Thanks to the fast evolution of electroencephalography (EEG)-based brain-computer
interfaces (BCIs) and computing technologies, as well as the availability of large EEG …

This paper uses EEG data to introduce an approach for classifying right and left-hand
classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity …

The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most
studied technologies for Brain-Computer Interface (BCI) development. Still, the low Signal-to …

Brain-Computer Interfaces (BCIs) are essential in advancing medical diagnosis and
treatment by providing non-invasive tools to assess neurological states. Among these, Motor …

Due to the influence of psychological factors during sports, basketball players often change
the shooting rhythm in sports, which will reduce the shooting rate and directly affect the …

Esta tesis de maestría presenta una metodología de aprendizaje profundo multimodal
innovadora que fusiona un modelo de clasificación de emociones con un generador …

Brain-Computer Interfaces (BCIs) based on Electroencephalography (EEG) have gained
significant attention as a practical approach for human-technology interaction. Motor …

Las Interfaces Cerebro Computadora (BCI) basadas en Electroencefalografía (EEG) crean
una conexión directa entre el cerebro humano y una computadora. Los paradigmas de …