Literature DB >> 21975312

Gaze-independent brain-computer interfaces based on covert attention and feature attention.

M S Treder1, N M Schmidt, B Blankertz.   

Abstract

There is evidence that conventional visual brain-computer interfaces (BCIs) based on event-related potentials cannot be operated efficiently when eye movements are not allowed. To overcome this limitation, the aim of this study was to develop a visual speller that does not require eye movements. Three different variants of a two-stage visual speller based on covert spatial attention and non-spatial feature attention (i.e. attention to colour and form) were tested in an online experiment with 13 healthy participants. All participants achieved highly accurate BCI control. They could select one out of thirty symbols (chance level 3.3%) with mean accuracies of 88%-97% for the different spellers. The best results were obtained for a speller that was operated using non-spatial feature attention only. These results show that, using feature attention, it is possible to realize high-accuracy, fast-paced visual spellers that have a large vocabulary and are independent of eye gaze.

Entities:  

Mesh:

Year:  2011        PMID: 21975312     DOI: 10.1088/1741-2560/8/6/066003

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  38 in total

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2.  Recursive Bayesian Coding for BCIs.

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3.  Probabilistic Simulation Framework for EEG-Based BCI Design.

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4.  Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.

Authors:  B O Mainsah; G Reeves; L M Collins; C S Throckmorton
Journal:  J Neural Eng       Date:  2017-08       Impact factor: 5.379

5.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

6.  Offline analysis of context contribution to ERP-based typing BCI performance.

Authors:  Umut Orhan; Deniz Erdogmus; Brian Roark; Barry Oken; Melanie Fried-Oken
Journal:  J Neural Eng       Date:  2013-10-08       Impact factor: 5.379

7.  Review of the BCI Competition IV.

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8.  Performance assessment in brain-computer interface-based augmentative and alternative communication.

Authors:  David E Thompson; Stefanie Blain-Moraes; Jane E Huggins
Journal:  Biomed Eng Online       Date:  2013-05-16       Impact factor: 2.819

9.  Prediction of auditory and visual p300 brain-computer interface aptitude.

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Journal:  PLoS One       Date:  2013-02-14       Impact factor: 3.240

10.  Online detection of error-related potentials boosts the performance of mental typewriters.

Authors:  Nico M Schmidt; Benjamin Blankertz; Matthias S Treder
Journal:  BMC Neurosci       Date:  2012-02-15       Impact factor: 3.288

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