A benchmark across 19 datasets shows contrastive pretraining and handcrafted features give the strongest generalization for EDA and PPG emotion recognition.
The participant felt bad and was in a negative mood, with emotions like sadness, fear, anger, worry, hopelessness, and frustration
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FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
A benchmark across 19 datasets shows contrastive pretraining and handcrafted features give the strongest generalization for EDA and PPG emotion recognition.