Desarrollo de una interfaz cerebro-computador para el control de posición de un robot móvil basado en la interpretación de ondas cerebrales.

Abstract

Due to the great progress of technology, the idea of moving robots only "thinking", or depending on the brain activity of a person is becoming more and more latent, advances in neuroscience and robotics have enabled various applications of robot control using non-invasive techniques, among which is the BCI interface based on the analysis of electroencephalogram (EEG) to help patients with motor disabilities. The ability to give commands to a mobile robot through thoughts so that it can move objects from one place to another when a person is temporarily or permanently unable to perform tasks on their own, will allow them to regain a certain degree of control and independence. For this reason, we intend to integrate existing technologies to develop a BCI system to control the movement of a basic robot through the interpretation of the neural activity of an individual. This with the aim of generating a starting point for future projects, specifically applications for people who have a severe motor disability and may be able to control a wheelchair or move a robotic arm through a customized BCI.