Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks

One of the greatest limitations in the field of EEG-based emotion recognition is the lack of training samples, which makes it difficult to establish effective models for emotion recognition. Inspired by the excellent achievements of generative models in image processing, we propose a data augmentati...

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Detalles Bibliográficos
Autores principales: Bao, Guangcheng, Yan, Bin, Tong, Li, Shu, Jun, Wang, Linyuan, Yang, Kai, Zeng, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700963/
https://www.ncbi.nlm.nih.gov/pubmed/34955797
http://dx.doi.org/10.3389/fncom.2021.723843

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700963/
https://www.ncbi.nlm.nih.gov/pubmed/34955797
http://dx.doi.org/10.3389/fncom.2021.723843

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