A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition

• Published in: IEEE transactions on affective computing Vol. 12; no. 2; pp. 494 - 504
• Main Authors: Li, Yang, Zheng, Wenming, Zong, Yuan, Cui, Zhen, Zhang, Tong, Zhou, Xiaoyan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.04.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: adversarial network; Biological neural networks; Brain modeling; cerebral hemisphere asymmetry; Data models; Discriminators; Domains; EEG emotion recognition; Electroencephalography; Emotion recognition; Emotional factors; Emotions; Feature extraction; Generative adversarial networks; long short term memory (LSTM); Neural networks; Neuroscience; Performance evaluation

In this paper, we propose a novel neural network model, called bi-hemisphere domain adversarial neural network (BiDANN) model, for electroencephalograph (EEG) emotion recognition. The BiDANN model is inspired by the neuroscience findings that the left and right hemispheres of human's brain are...