Recognition of EEG Signals from Imagined Vowels Using Deep Learning Methods

Recognition of EEG Signals from Imagined Vowels Using Deep Learning Methods

The use of imagined speech with electroencephalographic (EEG) signals is a promising field of brain-computer interfaces (BCI) that seeks communication between areas of the cerebral cortex related to language and devices or machines. However, the complexity of this brain process makes the analysis an...

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Bibliographic Details
Main Authors: Luis Carlos Sarmiento, Sergio Villamizar, Omar López, Ana Claros Collazos, Jhon Sarmiento, Jan Bacca Rodríguez
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
imagined speech
electroencephalography
brain-computer interface (BCI)
deep learning
convolutional neural networks (CNN)
vowels
Online Access:https://www.mdpi.com/1424-8220/21/19/6503

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https://www.mdpi.com/1424-8220/21/19/6503

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