Cross-subject emotion recognition using fused entropy features of eeg

HIGHLIGHTS

  • who: Xin Zuo and colleagues from the School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China have published the research: Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG, in the Journal: Entropy 2022, 24, x FOR PEER REVIEW of /2022/
  • what: Different features vary in revealing the implicit information of To improve system reliability in this paper the authors propose a framework for EEG-based cross-subject emotion recognition using fused features and a Bidirectional Long Short-term Memory (BiLSTM) network. A 5 s picture . . .

     

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