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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Autors principals:	Chenxi Tian, Yuliang Ma, Jared Cammon, Feng Fang, Yingchun Zhang, Ming Meng
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Matèries:	Emotion recognition electroencephalogram dual-encoder variational autoencoder-generative adversarial network data augmentation
Accés en línia:	https://ieeexplore.ieee.org/document/10102265/
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