RT Journal Article
T1 Evaluation of Single-Trial Classification to Control a Visual ERP-BCI under a Situation Awareness Scenario.
A1 Fernández-Rodríguez, Álvaro
A1 Ron-Angevin, Ricardo
A1 Velasco-Álvarez, Francisco Javier
A1 Diaz-Pineda, Jaime
A1 Letouzé, Théodore
A1 André, Jean-Marc
K1 Electroencefalografía
K1 Tráfico aéreo - Control
K1 Redes neuronales (Informática)
AB An event-related potential (ERP)-based brain–computer interface (BCI) can be used to monitor a user’s cognitive state during a surveillance task in a situational awareness context. The present study explores the use of an ERP-BCI for detecting new planes in an air traffic controller (ATC). Two experiments were conducted to evaluate the impact of different visual factors on target detection. Experiment 1 validated the type of stimulus used and the effect of not knowing its appearance location in an ERP-BCI scenario. Experiment 2 evaluated the effect of the size of the target stimulus appearance area and the stimulus salience in an ATC scenario. The main results demonstrate that the size of the plane appearance area had a negative impact on the detection performance and on the amplitude of the P300 component. Future studies should address this issue to improve the performance of an ATC in stimulus detection using an ERP-BCI.
PB MDPI
YR 2023
FD 2023-05-31
LK https://hdl.handle.net/10630/27136
UL https://hdl.handle.net/10630/27136
LA eng
NO Fernández-Rodríguez Á, Ron-Angevin R, Velasco-Álvarez F, Diaz-Pineda J, Letouzé T, André J-M. Evaluation of Single-Trial Classification to Control a Visual ERP-BCI under a Situation Awareness Scenario. Brain Sciences. 2023; 13(6):886. https://doi.org/10.3390/brainsci13060886
NO Partial funding for open access charge: Universidad de Málaga
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026