AI-Powered Emotion Detection from EEG Signals
It is shown that gated recurrent architectures can provide strong classification performance while maintaining relatively lower architectural complexity than graph- and Transformer-based approaches and highlights the potential of GRU-based models for resource-efficient EEG emotion-recognition systems.