CXYSET Sample Dataset

Remote photoplethysmography (rPPG) technology, with its distinctive non-contact detection capability, holds broad application pros-pects in the medical and healthcare fields. However, most existing publicly available rPPG datasets adhere to a single-subject paradigm, which results in insufficient generalization ability when dealing with multi-object scenarios, thereby significantly hindering the practical development of rPPG technology. This paper introduces anovel multi-object rPPG dataset, specifically designed to address the research challenges of rPPG in complex multi-object environments. Our dataset includes 30 subjects, comprising 30 sets of synchronous video recordings. These recordings were collected under diverse scenarios—including varying lighting and background conditions—using consumer-grade cameras. To support multimodal analysis of physiological states, each set of video recordings is synchronously paired with a 30 Hz photoplethysmography (PPG) signal, as well as corresponding physiological indicators such as heart rate (HR) oand blood oxygen saturation.