IEEE

EEG-Based Four Level Fear Classification using Graph Neural Network and LSTM Fusion Model: Comparing Raw and DE Features with k-Fold and Leave-One-Subject-Out

Abstract: Electroencephalography (EEG)-based four-level fear classification is important for mental-health assessment and emotion-aware systems, yet robust generalization to unseen subjects remains ...
IEEE

DRFNet: Enhancing Identity Discriminability and Feature Robustness for Cross-Session VEP-Based EEG Biometrics

Abstract: Biometric recognition using visually evoked potentials (VEPs), a type of neural response to visual stimuli recorded via electroencephalography (EEG), has shown great promise. However, the ...