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

Internet

https://www.mdpi.com/2076-3417/12/21/11162

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