IEETA brain computer interface technologies
by Petia Georgieva; Filipe Silva; Nuno Figueiredo
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 2, No. 3/4, 2013

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.

Online publication date: Sat, 19-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Intelligence Studies (IJCISTUDIES):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com