Web: http://arxiv.org/abs/2206.07655

June 16, 2022, 1:11 a.m. | Alessandro Gallo, Manh Duong Phung

cs.LG updates on arXiv.org arxiv.org

A trained T1 class Convolutional Neural Network (CNN) model will be used to
examine its ability to successfully identify motor imagery when fed
pre-processed electroencephalography (EEG) data. In theory, and if the model
has been trained accurately, it should be able to identify a class and label it
accordingly. The CNN model will then be restored and used to try and identify
the same class of motor imagery data using much smaller sampled data in an
attempt to simulate live …

arxiv brain brain-computer interface classification computer deep deep learning learning systems

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