BCI Appliance

Abstract

Event Abstract Back to Event BCI Appliance Tomasz Spustek1*, Mateusz Kruszyński2, Dawid Laszuk1, Piotr Milanowski1, Maciej Łabęcki1, Karol Augustin1, Anna Duszyk3, Rafał Kuś1, Jarosław Żygierewicz1 and Piotr Durka1 1 University of Warsaw, Faculty of Physics, ul. Hoza 69, 00-681 Warszawa, Poland, Poland 2 University of Warsaw, Faculty of Psychology, ul. Stawki 5/7, 00-183 Warszawa, Poland, Poland 3 University of Social Sciences and Humanities, ul. Chodakowska 19/31, 03-815 Warszawa, Poland, Poland Brain Computer-Interface (BCI) is a system that allows communication through direct measures of neural activity of the brain without muscle involvement. Such systems appear to be the only method of communication for people with severe neuromuscular disorders. There has been rapid development of BCI-systems for the last twenty years, but mostly in respect to accuracy and bit rate, rather than user convenience and ease of use. BCI Appliance, pioneering user-centered design of BCI systems, has been developped since 2009 at the University of Warsaw. The current prototype is a compact, tablet sized box with on/off button, which connects wirelessly to domotic and EEG acquisition devices. Presented hardware implements a unique design providing dynamic menus and stable delivery of SSVEP stimuli. The generation of stimuli is based upon an array of LEDs backlighting an LCD screen, where arbitrary symbols can be rendered within the designated fields. Each LED is independently driven by a micro-controller, which enables a precise control of its flickering frequency. The same system of fields can be used to deliver stimuli for the P300 based BCI. Software controlling the Appliance is based upon the OpenBCI framewok, developped at the University of Warsaw and released on terms of the GPL (http://openbci.pl). While the framework is multisystem and multilanguage, it is developped mostly in GNU/Linux which allows for a lightweight implementation of "Just Enough Operating System". Using the flexible structure and centralized data flow of the OpenBCI, we implemented universal user interface, which can be operated with SSVEP or P300 BCI, as well as other assistive technologies like switches and eyetrackers, with the possibility of unassisted switching between modalities by the user. It is beneficial for these users whose abilities degrade with time or those who would like to switch between the paradigms to reduce fatigue. Calibration procedures are fully automated, thus there is no need for manual fine-tuning of the parameters. This is due to advanced signal processing for feature extraction like Blind Source Separation, Canonical Correlation Analysis and classifiers based on machine learning algorithms. In this sense the software minimizes the need for a highly train personnel assisting the end-user to operate the Appliance. Keywords: brain machine interface, neuromuscular disorders, Neuroscience, brain computer-interfaces, Hardware Design Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Demo Topic: Neuroinformatics Citation: Spustek T, Kruszyński M, Laszuk D, Milanowski P, Łabęcki M, Augustin K, Duszyk A, Kuś R, Żygierewicz J and Durka P (2014). BCI Appliance. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00051 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 Mar 2013; Published Online: 27 Feb 2014. * Correspondence: Dr. Tomasz Spustek, University of Warsaw, Faculty of Physics, ul. Hoza 69, 00-681 Warszawa, Poland, Warsaw, Poland, tspus@fuw.edu.pl Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Tomasz Spustek Mateusz Kruszyński Dawid Laszuk Piotr Milanowski Maciej Łabęcki Karol Augustin Anna Duszyk Rafał Kuś Jarosław Żygierewicz Piotr Durka Google Tomasz Spustek Mateusz Kruszyński Dawid Laszuk Piotr Milanowski Maciej Łabęcki Karol Augustin Anna Duszyk Rafał Kuś Jarosław Żygierewicz Piotr Durka Google Scholar Tomasz Spustek Mateusz Kruszyński Dawid Laszuk Piotr Milanowski Maciej Łabęcki Karol Augustin Anna Duszyk Rafał Kuś Jarosław Żygierewicz Piotr Durka PubMed Tomasz Spustek Mateusz Kruszyński Dawid Laszuk Piotr Milanowski Maciej Łabęcki Karol Augustin Anna Duszyk Rafał Kuś Jarosław Żygierewicz Piotr Durka Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.