Remote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have served a valuable role in the development of this technology and improvements in accuracy over recent years.However, there remain gaps the public datasets.First, despite the ubiquity of cameras on mobile devices, there are few datasets recorded specifically with mobile phones cameras. Second, most datasets are relatively small and therefore are limited in diversity, both in appearance (e.g., skin tone), behaviors (e.g., motion) and enivornment (e.g., lighting conditions). In an effort to help the field advance, we present the Multi-domain Mobile Video Physiology Dataset (MMPD), comprising 11 hours of recordings from mobile phones of 33 subjects. The dataset was designed to capture videos with greater representation across skin tone, body motion, and lighting conditions. MMPD is comprehensive with eight descriptive labels and can be used in conjunction with the rPPG-toolbox. The Github repository of our dataset: {https://github.com/McJackTang/MMPD_rPPG_dataset}

翻译：远程光电容积描记术（rPPG）是一种非侵入性、便捷且可伴随测量的生理生命信号获取方法。公开基准数据集在这一技术的发展以及近年来准确率提升中发挥了重要作用。然而，现有公开数据集仍存在不足。首先，尽管移动设备上的摄像头已普遍存在，但专门使用手机摄像头记录的数据集却很少。其次，大多数数据集规模相对较小，因此在表现形式（如肤色）、行为（如运动）和环境（如光照条件）等方面的多样性有限。为推动该领域发展，我们提出了多域移动视频生理数据集（MMPD），该数据集包含33名受试者使用手机录制的11小时视频。数据集设计旨在捕获更全面地代表不同肤色、身体运动和光照条件的视频。MMPD具有全面的八标签标注，可与rPPG工具箱配合使用。数据集GitHub仓库：{https://github.com/McJackTang/MMPD_rPPG_dataset}