Affective Signal Processing: Classifying Emotions from Heart and Skin Activity Using HGB, LightGBM, and CatBoost. A Multimodal emotion recognition from ECG and GSR physiological signals using the YAAD dataset.
python machine-learning signal-processing ecg feature-extraction supervised-learning lightgbm ensemble-learning heart-rate-variability physiological-signals affective-computing gradient-boosting emotion-recognition gsr catboost multimodal valence-arousal histogram-gradient-boosting yaad-dataset empathic-computing
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Updated
May 13, 2026 - Python