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...

Full description

Saved in:

Bibliographic Details
Published in:	Frontiers in Human Neuroscience Vol. 17; p. 1194751
Main Authors:	Kim, Da-Hyun, Shin, Dong-Hee, Kam, Tae-Eui
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media SA 15.05.2023 Frontiers Research Foundation Frontiers Media S.A
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!