Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation

Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation

The current data scarcity problem in EEG-based emotion recognition tasks leads to difficulty in building high-precision models using existing deep learning methods. To tackle this problem, a dual encoder variational autoencoder-generative adversarial network (DEVAE-GAN) incorporating spatiotemporal...

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Bibliographic Details
Main Authors: Chenxi Tian, Yuliang Ma, Jared Cammon, Feng Fang, Yingchun Zhang, Ming Meng
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Emotion recognition
electroencephalogram
dual-encoder
variational autoencoder-generative adversarial network
data augmentation
Online Access:https://ieeexplore.ieee.org/document/10102265/

Internet

https://ieeexplore.ieee.org/document/10102265/

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