EEG Emotion Recognition
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Benchmarks
Most implemented
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework
A novel Fourier Adjacency Transformer for advanced EEG emotion recognition
Papers
Evaluation Protocols and Cross-Subject Generalization in EEG Emotion Recognition
Reported accuracy in electroencephalography (EEG) emotion recognition depends on the complete evaluation procedure, not only the classifier. We separate the target quantity, development procedure, and reporting rule, the…
EEG Emotion RecognitionSee the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition
Despite the high accuracy of EEG-based emotion recognition, existing models remain opaque "black boxes", lacking semantic grounding between abstract neural features and human-interpretable states. In this paper, we refra…
EEG Emotion RecognitionPRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition
Electroencephalogram (EEG) captures endogenous brain activity with high temporal fidelity and holds substantial promise for precise emotion decoding. However, channel redundancy and pronounced inter-subject variability r…
EEG Emotion RecognitionDomain AdaptationRECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning
Affective and cognitive disorders manifest as distributed, time-varying brain network dynamics across regions, channels, and time, challenging robust representation learning from EEG/sEEG for clinical diagnosis. We propo…
EEG Emotion RecognitionRepresentation LearningTransformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition
Electroencephalography (EEG) is a widely adopted technique for monitoring brain activity, offering valuable insights into neurological states due to its high temporal resolution and cost-effectiveness. To enhance the ana…
EEG Emotion RecognitionMSCGC-KAN: Multi-scale Causal Graph Convolution and KAN-inspired Analytic-basis Mapping for EEG Emotion Recognition
Electroencephalogram (EEG)-based emotion recognition is an important affective computing task, and recent EEG foundation models provide useful generic representations for downstream adaptation. However, under the fine-tu…
EEG Emotion Recognition