Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition

Emotion recognition plays an important part in human-computer interaction (HCI). Currently, the main challenge in electroencephalogram (EEG)-based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose...

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Detalles Bibliográficos
Autores principales: Bao, Guangcheng, Zhuang, Ning, Tong, Li, Yan, Bin, Shu, Jun, Wang, Linyuan, Zeng, Ying, Shen, Zhichong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854906/
https://www.ncbi.nlm.nih.gov/pubmed/33551775
http://dx.doi.org/10.3389/fnhum.2020.605246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854906/
https://www.ncbi.nlm.nih.gov/pubmed/33551775
http://dx.doi.org/10.3389/fnhum.2020.605246

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