Fusion graph representation of eeg for emotion recognition

HIGHLIGHTS

• who: Menghang Li et al. from the College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China have published the research work: Fusion Graph Representation of EEG for Emotion Recognition, in the Journal: Sensors 2023, 23, 1404. of /2023/
• what: The authors propose a fusion graph convolutional network (FGCN) to extract various relations existing in EEG data and fuse these extracted relations to represent EEG data more comprehensively for emotion recognition. The authors propose a local fusion strategy to fuse these three graphs to fully utilize the valuable channels with strong topological causal and . . .
  

   

  

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