Emotional Stress Recognition Using Electroencephalogram Signals Based on a Three-Dimensional Convolutional Gated Self-Attention Deep Neural Network

Emotional Stress Recognition Using Electroencephalogram Signals Based on a Three-Dimensional Convolutional Gated Self-Attention Deep Neural Network

The brain is more sensitive to stress than other organs and can develop many diseases under excessive stress. In this study, we developed a method to improve the accuracy of emotional stress recognition using multi-channel electroencephalogram (EEG) signals. The method combines a three-dimensional (...

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Bibliographic Details
Main Authors:	Hyoung-Gook Kim, Dong-Ki Jeong, Jin-Young Kim
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Applied Sciences
Subjects:	stress recognition EEG 3D convolutional neural networks self-attention
Online Access:	https://www.mdpi.com/2076-3417/12/21/11162

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