New dataset captures physiological responses to ASMR and nature videos

Researchers have introduced REST-ASMR, a new multimodal dataset designed to capture physiological and behavioral responses to ASMR and nature videos. The dataset includes photoplethysmography (PPG) data, synchronized audiovisual stimuli, and subjective annotations from 34 participants. A Bidirectional Long-Short Term Memory model was able to predict subjective ASMR states and classify ASMR versus nature videos with high accuracy. AI

IMPACT Provides a new resource for affective computing and multimodal research, potentially enabling more personalized relaxation models.

RANK_REASON This is a research paper describing a new dataset and a model trained on it. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• ASMR
• photoplethysmography
• REST-ASMR

• paper
• other

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