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Affiliation:, Foundation for Research and Technology Hellas
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Dynamic fusion of multi-scale EEG signals boosts emotion recognition accuracy, revealing the nuanced interplay of temporal information in mixed emotions.
StressGAT achieves 88.62% accuracy in stress recognition by personalizing facial expression analysis, all while maintaining interpretability for clinical use.
Forget audio – this lightweight transformer predicts robot gestures from text and emotion better than GPT-4o.
