Title: IEETA brain computer interface technologies

Authors: Petia Georgieva; Filipe Silva; Nuno Figueiredo

Addresses: Department of Electronics Telecommunications and Informatics (DETI), Institute of Electronics Engineering and Telematics of Aveiro (IEETA), University of Aveiro, Campus Universitano, 3800 – 193 Aveiro, Portugal ' Department of Electronics Telecommunications and Informatics (DETI), Institute of Electronics Engineering and Telematics of Aveiro (IEETA), University of Aveiro, Campus Universitano, 3800 – 193 Aveiro, Portugal ' Department of Electronics Telecommunications and Informatics (DETI), Institute of Electronics Engineering and Telematics of Aveiro (IEETA), University of Aveiro, Campus Universitano, 3800 – 193 Aveiro, Portugal

Abstract: The goal of this paper is to make a summary of the recent advances in electroencephalogram (EEG)-based brain computer interface (BCI) architectures developed at the Institute of Electronics Engineering and Telematics of Aveiro (IEETA). First, a short overview of the most successful BCI technologies is presented and then the IEETA protocol for motor imagery non-invasive BCI for a mobile robot control is discussed. Our ongoing research on an adaptive BCI architecture that allows to autonomously adapt the BCI parameters in malfunctioning situations is also presented. Such situations are detected by discriminating EEG error potentials and when necessary the BCI mode is switched back to the training stage in order to improve its performance. The proposed concept has the potential to increase the reliability of BCI systems however studies with more users are still required.

Keywords: brain computer interface; motor imagery; EEG; electroencephalograms; feature extraction; classification; adaptive BCI; error potentials; computational intelligence; mobile robots; robot control.

DOI: 10.1504/IJCISTUDIES.2013.057645

International Journal of Computational Intelligence Studies, 2013 Vol.2 No.3/4, pp.314 - 332

Received: 06 Mar 2013
Accepted: 07 Mar 2013

Published online: 19 Jul 2014 *

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