ERTNet: an interpretable transformer-based framework for EEG emotion recognition

ERTNet: an interpretable transformer-based framework for EEG emotion recognition

BackgroundEmotion recognition using EEG signals enables clinicians to assess patients’ emotional states with precision and immediacy. However, the complexity of EEG signal data poses challenges for traditional recognition methods. Deep learning techniques effectively capture the nuanced emotional cu...

Full description

Bibliographic Details
Main Authors: Ruixiang Liu, Yihu Chao, Xuerui Ma, Xianzheng Sha, Limin Sun, Shuo Li, Shijie Chang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Neuroscience
Subjects:
EEG
emotion recognition
deep learning
transformer
interpretability
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1320645/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2024.1320645/full

Similar Items