Effects of Data Augmentation Method Borderline-SMOTE on Emotion Recognition of EEG Signals Based on Convolutional Neural Network

Effects of Data Augmentation Method Borderline-SMOTE on Emotion Recognition of EEG Signals Based on Convolutional Neural Network

In recent years, with the continuous development of artificial intelligence and brain-computer interface technology, emotion recognition based on physiological signals, especially electroencephalogram signals, has become a popular research topic and attracted wide attention. However, the imbalance o...

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Bibliographic Details
Main Authors: Yu Chen, Rui Chang, Jifeng Guo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electroencephalogram
emotion recognition
Borderline-Synthetic minority oversampling technique
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9385376/

Internet

https://ieeexplore.ieee.org/document/9385376/

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