The Use of Electroencephalogram and Electrodermal Signals in Reinforcement Learning of a Brain-Computer Interface

Werley de Oliveira Gonçalves, Gizelle Kupac Vianna, Luiz Maltar Castello Branco

2018

Abstract

The objective of this work is to compare the performance of two brain-computer interfaces developed by our research group. Both interfaces collect the electrical signals produced by the human body while a person try to move a cursor on a digital screen, using only his thought. The collected signals are classified using the artificial neural networks paradigm, where the first interface uses electroencephalogram signals, collected from the scalp, to classify the mental command, and the second uses the electrodermal signal, collected from any right-hand finger. Besides analysing the performance of the two approaches, this research contributes to reduce the training time achieved by similar systems, reported in the literature as being in an average of 45 days, to about only 40 minutes. Our motivation is to facilitate the accessibility of people with temporary or permanent physical limitations. In addition, we have developed a low-cost signal collection platform, providing a solution that can help a large group of people.

Paper Citation

in Harvard Style

Gonçalves W., Vianna G. and Branco L. (2018). The Use of Electroencephalogram and Electrodermal Signals in Reinforcement Learning of a Brain-Computer Interface.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 533-539. DOI: 10.5220/0006773305330539

in Bibtex Style

@conference{iceis18,
author={Werley de Oliveira Gonçalves and Gizelle Kupac Vianna and Luiz Maltar Castello Branco},
title={The Use of Electroencephalogram and Electrodermal Signals in Reinforcement Learning of a Brain-Computer Interface},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={533-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006773305330539},
isbn={978-989-758-298-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - The Use of Electroencephalogram and Electrodermal Signals in Reinforcement Learning of a Brain-Computer Interface
SN - 978-989-758-298-1
AU - Gonçalves W.
AU - Vianna G.
AU - Branco L.
PY - 2018
SP - 533
EP - 539
DO - 10.5220/0006773305330539