Literature DB >> 15188868

An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate.

Reinhold Scherer1, Gernot R Müller, Christa Neuper, Bernhard Graimann, Gert Pfurtscheller.   

Abstract

An improvement of the information transfer rate of brain-computer communication is necessary for the creation of more powerful and convenient applications. This paper presents an asynchronously controlled three-class brain-computer interface-based spelling device [virtual keyboard (VK)], operated by spontaneous electroencephalogram and modulated by motor imagery. Of the first results of three able-bodied subjects operating the VK, two were successful, showing an improvement of the spelling rate sigma, the number of correctly spelled letters/min, up to sigma = 3.38 (average sigma = 1.99).

Mesh:

Year:  2004        PMID: 15188868     DOI: 10.1109/TBME.2004.827062

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  48 in total

Review 1.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

2.  Magnetoencephalographic signals predict movement trajectory in space.

Authors:  Apostolos P Georgopoulos; Frederick J P Langheim; Arthur C Leuthold; Alexander N Merkle
Journal:  Exp Brain Res       Date:  2005-10-29       Impact factor: 1.972

3.  Study of discriminant analysis applied to motor imagery bipolar data.

Authors:  Carmen Vidaurre; Reinhold Scherer; Rafael Cabeza; Alois Schlögl; Gert Pfurtscheller
Journal:  Med Biol Eng Comput       Date:  2006-12-01       Impact factor: 2.602

4.  Automatic user customization for improving the performance of a self-paced brain interface system.

Authors:  Mehrdad Fatourechi; Ali Bashashati; Gary E Birch; Rabab K Ward
Journal:  Med Biol Eng Comput       Date:  2006-11-17       Impact factor: 2.602

5.  An enhanced time-frequency-spatial approach for motor imagery classification.

Authors:  Nobuyuki Yamawaki; Christopher Wilke; Zhongming Liu; Bin He
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2006-06       Impact factor: 3.802

6.  Describing different brain computer interface systems through a unique model: a UML implementation.

Authors:  Lucia Rita Quitadamo; Maria Grazia Marciani; Gian Carlo Cardarilli; Luigi Bianchi
Journal:  Neuroinformatics       Date:  2008-07-08

7.  Joint spatial-spectral feature space clustering for speech activity detection from ECoG signals.

Authors:  Vasileios G Kanas; Iosif Mporas; Heather L Benz; Kyriakos N Sgarbas; Anastasios Bezerianos; Nathan E Crone
Journal:  IEEE Trans Biomed Eng       Date:  2014-04       Impact factor: 4.538

8.  Discrimination of left and right leg motor imagery for brain-computer interfaces.

Authors:  Peter Boord; Ashley Craig; Yvonne Tran; Hung Nguyen
Journal:  Med Biol Eng Comput       Date:  2010-02-09       Impact factor: 2.602

9.  Optimized stimulus presentation patterns for an event-related potential EEG-based brain-computer interface.

Authors:  Jing Jin; Brendan Z Allison; Eric W Sellers; Clemens Brunner; Petar Horki; Xingyu Wang; Christa Neuper
Journal:  Med Biol Eng Comput       Date:  2010-10-02       Impact factor: 2.602

10.  Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode.

Authors:  César Márquez-Chin; Milos R Popovic; Egor Sanin; Robert Chen; Andres M Lozano
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

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