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Improving the Classification of Real-World SSVEP Data in Brain-Computer Interface Speller Systems Using Deep Convolutional Neural Networks
Author(s) -
Elham Rostami,
Farnaz Ghassemi,
Zahra Tabanfar
Publication year - 2022
Publication title -
frontiers in biomedical technologies
Language(s) - English
Resource type - Journals
eISSN - 2345-5837
pISSN - 2345-5829
DOI - 10.18502/fbt.v9i4.10382
Subject(s) - brain–computer interface , computer science , convolutional neural network , artificial intelligence , speech recognition , interface (matter) , visualization , pattern recognition (psychology) , support vector machine , electroencephalography , maximum bubble pressure method , psychiatry , parallel computing , bubble , psychology

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