Motor Imagery Classification for Brain Computer Interface Using Deep Metric Learning

Motor Imagery Classification for Brain Computer Interface Using Deep Metric Learning

Deep metric learning (DML) has achieved state-of-the-art results in several deep learning applications. However, this type of deep learning models has not been tested on the classification of electrical brain waves (EEG) for brain computer interface (BCI) applications. For the first time, we propose...

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Bibliographic Details
Main Authors: Haider Alwasiti, Mohd Zuki Yusoff, Kamran Raza
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
BCI
metric learning
EEG
Stockwell transform
Online Access:https://ieeexplore.ieee.org/document/9116935/

Internet

https://ieeexplore.ieee.org/document/9116935/

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