Brain-Robot Interface for Controlling a Remote Robot Arm

Authors:
Eduardo Iáñez;M. Clara Furió;José M. Azorín;José Alejandro Huizzi;Eduardo Fernández
Affiliations:
Virtual Reality and Robotics Lab, Universidad Miguel Hernández de Elche, Elche, Spain 03202;Bioengineering Institute, Universidad Miguel Hernández de Elche, Elche, Spain 03202;Virtual Reality and Robotics Lab, Universidad Miguel Hernández de Elche, Elche, Spain 03202;Hospital General Universitario de Alicante, Spain;Bioengineering Institute, Universidad Miguel Hernández de Elche, Elche, Spain 03202
Venue:
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Year:
2009

Citing 1
Cited 2

Brain-actuated interaction

Artificial Intelligence

Mental tasks-based brain-robot interface

Robotics and Autonomous Systems
Visual evoked potential-based brain-machine interface applications to assist disabled people

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a technique based on electroencephalography (EEG) to control a robot arm. This technology could eventually allow people with severe disabilities to control robots that can help them in daily living activities. The EEG-based Brain Computer Interface (BCI) developed consists in register the brain rhythmic activity through a electrodes situated on the scalp in order to differentiate one cognitive process from rest state and use it to control one degree of freedom of the robot arm. In the paper the processing and classifier algorithm are described and an analysis of their parameters has been made with the objective of find the optimum configuration that allow obtaining the best results.