Hybrid transfer learning strategy for cross-subject EEG emotion recognition

Hybrid transfer learning strategy for cross-subject EEG emotion recognition

Emotion recognition constitutes a pivotal research topic within affective computing, owing to its potential applications across various domains. Currently, emotion recognition methods based on deep learning frameworks utilizing electroencephalogram (EEG) signals have demonstrated effective applicati...

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Bibliographic Details
Main Authors: Wei Lu, Haiyan Liu, Hua Ma, Tien-Ping Tan, Lingnan Xia
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Human Neuroscience
Subjects:
affective computing
cross-subject EEG emotion recognition
fine-tuning
domain adaptation
few-shot
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2023.1280241/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2023.1280241/full

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