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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| 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 |