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Published in 2020 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09744-2
Abstract: The P300 wave has been successfully employed to develop brain-computer interfaces (BCI) for speller applications. However, methods to analyze the P300 require computers with high processing capability because they are computationally complex and require many…
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Keywords:
system;
based p300;
network;
bci speller ... See more keywords
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Published in 2019 at "Neuroscience Letters"
DOI: 10.1016/j.neulet.2019.134385
Abstract: Previous works using a visual P300-based speller have reported an improvement modifying the shape or colour of the presented stimulus. However, the effects of both blended factors have not been yet studied. Thus, the aim…
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Keywords:
colour heterogeneity;
block shaped;
speller;
p300 ... See more keywords
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Published in 2018 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2018.2839116
Abstract: In this paper, we propose a highly accurate and fast spelling system that employs multi-modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback technology. Over the last 20 years, various types of speller systems have been developed…
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Keywords:
eeg eog;
spelling system;
system;
visual feedback ... See more keywords
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Published in 2017 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2017.00274
Abstract: Brain Computer Interface (BCI) speller is a typical BCI-based application to help paralyzed patients express their thoughts. This paper proposed a novel motor imagery based BCI speller with Oct-o-spell paradigm for word input. Furthermore, an…
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Keywords:
motor imagery;
computer interface;
control;
bci speller ... See more keywords