Deep coupling recurrent auto-encoder with multi-modal eeg and eog for vigilance estimation

HIGHLIGHTS

  • who: Kuiyong Song and collaborators from the College of Computer Science and Technology, Harbin Engineering University, Harbin, China have published the research work: Deep Coupling Recurrent Auto-Encoder with Multi-Modal EEG and EOG for Vigilance Estimation, in the Journal: Entropy 2021, 1316 of /2021/
  • what: The authors propose a auto-encoder (DCRA) that combines electroencephalography (EEG) and electrooculography (EOG). In this study, a joint objective loss function was designed to train the coupling autoencoder . In the experiment, a neuroscan system and eye-tracking glasses were used to record the real-time data of the . . .

     

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