ANIMA: Non-Conventional Interfaces in Robot Control Through Electroencephalography and Electrooculography: Motor Module

Published in: Engineering for a Smarter Planet: Innovation, ITC, and Computational Tools for Sustainable Development: Proceedings of the 9th Latin American and Caribbean Conference for Engineering and Technology
Date of Conference: August 3-5, 2011
Location of Conference: Medellin, Colombia
Authors: Gerardo Martínez
Luis Reina
Mario Valdeavellano
Carlos Esquit
Marie Destarac
Refereed Paper: #206

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.