9 th Latin American and Caribbean Conference for Engineering and Technology Medellín, Colombia WE1-1 August 3-5, 2011 Ninth LACCEI Latin American and Caribbean Conference (LACCEI’2011), Engineering for a Smart Planet, Innovation, Information Technology and Computational Tools for Sustainable Development, August 3-5, 2011, Medellín, Colombia. ANIMA: Non-Conventional Interfaces in Robot Control Through Electroencephalography and Electrooculography: Motor Module Gerardo Martínez Universidad del Valle de Guatemala, Guatemala, Guatemala, gemartinez@uvg.edu.gt Luis Reina Universidad del Valle de Guatemala, Guatemala, Guatemala, lfreina@uvg.edu.gt Mario Valdeavellano Universidad del Valle de Guatemala, Guatemala, Guatemala, val05032@uvg.edu.gt Carlos Esquit Universidad del Valle de Guatemala, Guatemala, Guatemala, caesquit@uvg.edu.gt Marie Destarac Universidad del Valle de Guatemala, Guatemala, Guatemala, mdestarac@uvg.edu.gt ABSTRACT ANIMA’s primary objective is to compare three non-conventional human-computer interfaces that comply with the industrial robot ST Robotics R-17 instructions. The Motor Module presented in this work explains how brain waves are obtained, processed, analyzed and identified according to facial movements produced by the subject. The brain waves are obtained using an electrode cap which complains with the 10-20 international system for electrode positioning. Together with the electrode cap a circuit for acquiring the EEG (Electroencephalographic) signals was designed and constructed. A software tool was designed in order to process the EEG signals using the Fast Fourier Transform technique; with this technique the software is able to identify specific facial movements, and instructions are sent to the robotic arm, executing one of four predefined routines. The system was tested by 5 people, and all of them having successful results. Accuracy achieved by this module was of eighty nine point nine percent. Keywords: Electronics, Fast Fourier Transform (FFT), Microcontrollers, Electroencephalography (EEG), 1. INTRODUCTION Research regarding interfaces between machines and the human brain are a major boom nowadays. Some research related to this work has been done at University of Florida and at Pontificia Universidad Católica del Perú. In Florida the researchers designed an EEG Game control based on even-related desynchronization of the premotor cortex when imagining movement (Park and Wankhede, 2002). In Perú, researchers developed an EEG acquisition module which will be used to construct a Brain Computer Interface in the near future (Tupachi et al., 2006). The brain waves are obtained using an electrode cap applying the technique known as Electroencephalography. The electrodes obtain brain’s electrical variations caused by the neuronal interaction. To be able to get these voltages a comparison between electrodes is needed; one is the reference potential electrode and the other is the potential of interest. The frequencies of the brain waves are in the range of 3 Hz to 30 Hz. Using a Fourier spectrum, which is the graphic representation of the FFT, it is possible to observe the frequency and magnitude of each sinusoid