Desarrollo de un Sistema Bci Basado en el Dispositivo Mindwave Mobile 2 para el Control de las Funciones de Movimiento del Robot Pepper

Abstract

The present degree project describes the design, implementation, and development of a BCI system based on the reception of brain waves which enables the functionalities of the Pepper robot, allowing wireless interaction with the environment and using the robot as a means of communication. The project is focused on social robotics and support for people with disabilities who have communication difficulties.

For the reception of waves, the MindWave Mobile 2 headband developed by the company Neurosky is used. This headband allows sampling of voluntary blinks, these blinks are classified using a Long-Short Term Memory (LSTM) neural network, which is effective in time series classification training. In turn, the Pepper robot was programmed with different corresponding speech functionalities a short description of the project and two different greeting actions, thus demonstrating communication with the robot’s communication with the robot’s environment.

Finally, the BCI system is carried out through the ROS environment, which is a meta operating system designed for robots, where finally the results of the classification of the blinks and the functionalities that the robot adopts depending on the voluntary blinks are obtained.