Emotion Recognition Using a Reduced Set of EEG Channels Based on Holographic Feature Maps

Emotion Recognition Using a Reduced Set of EEG Channels Based on Holographic Feature Maps

An important function of the construction of the Brain-Computer Interface (BCI) device is the development of a model that is able to recognize emotions from electroencephalogram (EEG) signals. Research in this area is very challenging because the EEG signal is non-stationary, non-linear, and contain...

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Bibliographic Details
Main Authors: Ante Topic, Mladen Russo, Maja Stella, Matko Saric
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
electroencephalogram
Brain-Computer Interface
ReliefF
Neighborhood Component Analysis
deep learning
computer-generated holography
Online Access:https://www.mdpi.com/1424-8220/22/9/3248

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https://www.mdpi.com/1424-8220/22/9/3248

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