BEATS 数据集：理解真实场景中音乐与生理动态
The BEATS Dataset: Towards Understanding Music-Physiology Dynamics in Real-World Scenarios
AI 导读
研究者发布 BEATS 数据集，收录 30 名参与者在真实环境中收听健康导向播放列表时采集的心理生理数据。数据集包含可穿戴设备传感器数据、音乐收听记录与声学特征、人口统计与人格特质等个体信息，以及历时数周的实验前后心理测量，可用于音乐心理学、情感计算与信号处理研究。
正文 · 原文
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, Experience and Affect from Therapeutic Soundscapes, the BEATS dataset aims to support research on wellbeing, music psychology, affective computing and signal processing. More specifically, this dataset includes: (1) sensor data collected during music listening sessions using a research-grade wearable device in free-movement environments; (2) music listening activity records, stimulus metadata, acoustic features, and self-reports associated with the listening sessions (3) individual characteristics, such as demographics, music preference, musical skills, and personality traits; and (4) self-reported psychological measures before and after their experimental participation spanning for a number of weeks. By situating data collection outside of lab settings, the BEATS dataset offers the opportunity to study real-world music-listening scenarios, allowing for a richer exploration of the physiological, subjective and therapeutic effects of music under real-world conditions.
| Comments: | Under review in Nature Scientific Data |
| Subjects: | Signal Processing (eess.SP); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2611.15837 [eess.SP] |
| (or arXiv:2611.15837v1 [eess.SP] for this version) | |
| https://doi.org/10.48550/arXiv.2611.15837 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Tanaya Guha [view email]
[v1]
Wed, 11 Nov 2026 18:47:52 UTC (2,421 KB)
来源：arXiv cs.AI · arxiv.org