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

被引:134
作者
Treder, M. S. [1 ]
Schmidt, N. M. [1 ]
Blankertz, B. [1 ]
机构
[1] Berlin Inst Technol, Machine Learning Lab, Berlin, Germany
关键词
MENTAL PROSTHESIS; VISUAL-SEARCH; P300; SPELLER; BCI; CLASSIFICATION; COMMUNICATION; POTENTIALS; SIGNALS;
D O I
10.1088/1741-2560/8/6/066003
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
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页数:12
相关论文
共 66 条
[1]   A novel brain-computer interface based on the rapid serial visual presentation paradigm [J].
Acqualagna, Laura ;
Treder, Matthias Sebastian ;
Schreuder, Martijn ;
Blankertz, Benjamin .
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, :2686-2689
[2]   Towards an independent brain-computer interface using steady state visual evoked potentials [J].
Allison, Brendan. Z. ;
McFarland, Dennis J. ;
Schalk, Gerwin ;
Zheng, Shi Dong ;
Jackson, Melody Moore ;
Wolpaw, Jonathan R. .
CLINICAL NEUROPHYSIOLOGY, 2008, 119 (02) :399-408
[3]   Effects of SOA and flash pattern manipulations on ERPs, performance, and preference: Implications for a BCI system [J].
Allison, BZ ;
Pineda, JA .
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2006, 59 (02) :127-140
[4]  
Aloise F., 2007, International Journal of Bioelectromagnetism, V9, P128
[5]  
Arico P, 2010, P TOBI WORKSH 2
[6]  
Aula A, 2006, UNIVERSAL ACCESS INF, V5, P199, DOI DOI 10.1007/S10209-006-0034-Z
[7]   Covert attention allows for continuous control of brain-computer interfaces [J].
Bahramisharif, Ali ;
van Gerven, Marcel ;
Heskes, Tom ;
Jensen, Ole .
EUROPEAN JOURNAL OF NEUROSCIENCE, 2010, 31 (08) :1501-1508
[8]   Which Physiological Components are More Suitable for Visual ERP Based Brain-Computer Interface? A Preliminary MEG/EEG Study [J].
Bianchi, Luigi ;
Sami, Saber ;
Hillebrand, Arjan ;
Fawcett, Ian P. ;
Quitadamo, Lucia Rita ;
Seri, Stefano .
BRAIN TOPOGRAPHY, 2010, 23 (02) :180-185
[9]  
Blankertz B, 2007, LECT NOTES COMPUT SC, V4555, P759
[10]   Single-trial analysis and classification of ERP components - A tutorial [J].
Blankertz, Benjamin ;
Lemm, Steven ;
Treder, Matthias ;
Haufe, Stefan ;
Mueller, Klaus-Robert .
NEUROIMAGE, 2011, 56 (02) :814-825