Deep Neural Network for Emotion Recognition based on Meta-transfer Learning

• Published in: IEEE access Vol. 10; p. 1
• Main Authors: Tang, Hengyao, Jiang, Guosong, Wang, Qingdong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Algorithms; Artificial neural networks; Brain modeling; EEG signal; Electroencephalography; Emotion recognition; Emotions; Feature extraction; Machine learning; meta-learning; Optimization; Physiology; Task analysis; Training; transfer learning

In recent years, many EEG-based emotion recognition methods have been proposed, which can achieve good performance on single-subject data. However, when the models are applied to cross-subject scenarios, due to the existence of subject differences, these models are often difficult to accurately iden...