Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification

Brain-computer interfaces (BCIs) facilitate direct interaction between the human brain and computers, enabling individuals to control external devices through cognitive processes. Despite its potential, the problem of BCI illiteracy remains one of the major challenges due to inter-subject EEG variab...

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Vydané v:	Frontiers in Human Neuroscience Ročník 17; s. 1194751
Hlavní autori:	Kim, Da-Hyun, Shin, Dong-Hee, Kam, Tae-Eui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Media SA 15.05.2023 Frontiers Research Foundation Frontiers Media S.A
Predmet:	Adaptation BCI illiteracy Brain research brain-computer interface Classification Cognitive ability Computers convolutional neural network Discriminant analysis EEG electroencephalogram Electroencephalography Human Neuroscience Illiteracy Machine learning Mental task performance motor imagery Neural networks Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 style transfer motor imagery style transfer brain-computer interface convolutional neural network electroencephalogram BCI illiteracy
ISSN:	1662-5161, 1662-5161
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