Learning Data Representation and Emotion Assessment from Physiological Data
Scientific Paper
AI
A scientific study that employs deep learning on physiological data to understand human emotions. Using EEG and PPG signals, a CNN model achieved 76.6% and 83.3% F1-scores for Positive and Negative Affect. Key features include alpha band power and synchronization indexes, confirming their relevance.