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New BEATS dataset tracks music's real-world physiological effects

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced the BEATS dataset, a compilation of psycho-physiological data from 30 participants listening to music intended to promote well-being. Collected in real-world scenarios, the dataset includes sensor data, music metadata, self-reports, and individual characteristics. BEATS aims to advance research in wellbeing, music psychology, affective computing, and signal processing by enabling the study of music's effects under natural conditions. AI

RANK_REASON The item describes a new dataset and associated research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

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New BEATS dataset tracks music's real-world physiological effects

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The item describes a new dataset and associated research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Benjamin Gutierrez Serafin, Tanaya Guha, Fahim Kawsar ·

    The BEATS Dataset: Towards Understanding Music-Physiology Dynamics in Real-World Scenarios

    arXiv:2611.15837v1 Announce Type: cross Abstract: We introduce the BEATS dataset, a robust compilation of psycho-physiological data collected in the wild from 30 participants while they listened to curated playlists intended to promote well-being. An acronym for Biomarkers, Exper…

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