Cross-subject emotion recognition in brain-computer interface based on frequency band attention graph convolutional adversarial neural networks.

Journal: Journal of neuroscience methods
Published Date: Sep 3, 2024

Abstract

BACKGROUND: Emotion is an important area in neuroscience. Cross-subject emotion recognition based on electroencephalogram (EEG) data is challenging due to physiological differences between subjects. Domain gap, which refers to the different distributions of EEG data at different subjects, has attracted great attention for cross-subject emotion recognition.

Authors

  • Shinan Chen
    School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, PR China.
  • Yuchen Wang
    College of Management, University of Massachusetts Boston, Boston, MA, USA.
  • Xuefen Lin
    School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, PR China.
  • Xiaoyong Sun
    School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, PR China.
  • Weihua Li
    State Key Laboratory of Molecular Engineering of Polymers, Key Laboratory of Computational Physical Sciences, Department of Macromolecular Science, Fudan University, Shanghai 200438, China.
  • Weifeng Ma
    School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, PR China.

Keywords

External Resources

Popular Topics
Recent Journals