Video-Time Priors for EEG-fNIRS Emotion Regression on Familiar Videos

arXiv:2610.03618v2 Announce Type: replace Abstract: Do viewer-specific physiological signals improve continuous emotion regression beyond the stimulus-driven response shared across viewers? We examine this question by predicting emotion ratings for new viewers watching videos that also appear in the training set. As a stimulus-only baseline, we define a video-time prior:the smoothed median of training labels for each video at each second. We then combine this prior, using a fixed fusion weight, with a graph-based model of electroencephalography (EEG) and functional near-infrared spectroscopy (

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