Diseño de un sistema de guiado de robots mediante la adquisición de señales EEG

[EN] The project consists in the design a brain computer interface based on electroencephalographic (EEG) signals to control the movements and actions voluntarily of an industrial robot. We will work on the acquisition and calibration of the EEG signal, designing the most appropriate interface to mo...

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Detalles Bibliográficos
Autor: Dadone, Javier
Tipo de recurso: tesis de maestría
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:español
OAI Identifier:oai:riunet.upv.es:10251/94309
Acceso en línea:https://riunet.upv.es/handle/10251/94309
Access Level:acceso abierto
Palabra clave:Open source
Control
Robot movement
Robot
Robotics
EEG
Openvibe
Brain Computer Interfaces (BCI)
C++
Steady State Visually Evoked potentials (SSVEP)
Interfaces cerebro computador
Robótica
Movimiento de robot
Robòtica
Movimient de robot
INGENIERIA DE SISTEMAS Y AUTOMATICA
Máster Universitario en Automática e Informática Industrial-Màster Universitari en Automàtica i Informàtica Industrial
Descripción
Sumario:[EN] The project consists in the design a brain computer interface based on electroencephalographic (EEG) signals to control the movements and actions voluntarily of an industrial robot. We will work on the acquisition and calibration of the EEG signal, designing the most appropriate interface to move the robot, developing the robot control application and validating the quality of the results obtained through real tests. As a result, a cross-platform application in C ++ has been obtained, which together with Openvibe is able to control an industrial robot from the Staubbli company based on the Steady State Visually Evoked Potentials (SSVEP) paradigm.