2026-06-03T05:28:06Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/104082026-02-03T11:56:43Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Ron-Angevin, Ricardo author Debeyre, Aurélie author Marquet, Yvan author Lespinet-Najib, Véronique author André, Jean-Marc author 2015-10-02 A Brain-Computer Interface (BCI) is a system that enables communication and control that is not based on muscular movements, but on brain activity. Some of these systems are based on discrimination of different mental tasks; usually they match the number of mental tasks to the number of control commands. Previous research at the University of Málaga (UMA-BCI) have proposed a BCI system to freely control an external device, letting the subjects choose among several navigation commands using only one active mental task (versus any other mental activity). Although the navigation paradigm proposed in this system has been proved useful for continuous movements, if the user wants to move medium or large distances, he/she needs to keep the effort of the MI task in order to keep the command. In this way, the aim of this work was to test a navigation paradigm based on the brain-switch mode for ‘forward’ command. In this mode, the subjects used the mental task to switch their state on /off: they stopped if they were moving forward and vice versa. Initially, twelve healthy and untrained subjects participated in this study, but due to a lack of control in previous session, only four subjects participated in the experiment, in which they had to control a virtual robot using two paradigms: one based on continuous mode and another based on switch mode. Preliminary results show that both paradigms can be used to navigate through virtual environments, although with the first one the times needed to complete a path were notably lower. http://hdl.handle.net/10630/10408 Interfaces de ordenadores Interacción hombre-ordenador Brain-Computer Interface: comparison of two control modes to drive a virtual robot