Why the study?
Most EEG-based emotion recognition research focuses on classification accuracy while neglecting the interpretability of emotion progression.
A novel interpretable emotion recognition approach using EEG signals and emotional activation curves improves classification accuracy and reveals the emotional activation mechanism.
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May advance EEG emotion detection methods; leaves open prospective validation before clinical adoption.
Qing et al. (2019) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: