ANIMA: Non-conventional Brain-Computer Interfaces in Robot Control through Electroencephalography and Electrooculography, ARP Module

Autor:	Marie André Destarac, Mario Valdeavellano, Luis F. Reina, Carlos Esquit, Gerardo Martínez
Rok vydání:	2010
Předmět:	business.industry Computer science Robotics Modular design Alpha wave Robot control law.invention Industrial robot Software law Artificial intelligence business Robotic arm Simulation Computer hardware Brain–computer interface
Zdroj:	Advances in Pattern Recognition ISBN: 9783642159916 MCPR
DOI:	10.1007/978-3-642-15992-3_8
Popis:	ANIMA has as a primary objective to compare three nonconventional human com-puter interfaces that comply with the industrial robot ST Robotics R-17 instructions. This mod-ule, Alpha Waves Related Potentials - ARP- explains how brain waves are obtained, processed, analyzed and identified depending on their frequency. This module makes use of the Open EEG Project's open hardware monitor for brain wave activity, called the modular EEG. The brain waves are obtained through an electrode cap complying with the international 10-20 system for electrode positioning. The brain waves are processed with a fast Fourier transform using a microcontroller and analyzed in software identifying the alpha wave's contribution. A program identifies the amount of time that alpha wave generation was maintained through concentration, and instructions are sent to the robotic arm, executing one of four pre-defined routines. Thirty percent of the users attained control over the robotic arm with the human computer interface.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c96269a979dc9392ec8d9d4088a2b1ee https://doi.org/10.1007/978-3-642-15992-3_8 Zobrazit plný text záznamu