论文标题
ADARP：在现实生活中进行压力和酒精复发定量的多模态数据集
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting
论文作者
论文摘要
可穿戴传感器数据的压力检测和分类是一个新兴领域，对个人的身心健康具有重要意义。在这项工作中，我们介绍了一个新的数据集ADARP，其中包含在现实世界内部的门诊环境中收集的生理数据和自我报告结果，涉及诊断出患有酒精使用障碍的人。我们描述了用户研究，有关数据集的详细信息，建立了生理数据与自我报告的结果之间的显着相关性，证明了压力分类，并使我们的数据集公开以促进研究。
Stress detection and classification from wearable sensor data is an emerging area of research with significant implications for individuals' physical and mental health. In this work, we introduce a new dataset, ADARP, which contains physiological data and self-report outcomes collected in real-world ambulatory settings involving individuals diagnosed with alcohol use disorders. We describe the user study, present details of the dataset, establish the significant correlation between physiological data and self-reported outcomes, demonstrate stress classification, and make our dataset public to facilitate research.
