Silpakorn Forearm Vital Signs (SF-VS) dataset

In this updated version, we have revised the README file following the completion of our article review and publication. The dataset has been divided into two parts due to Zenodo's data storage policies: The first part of the dataset is uploaded to Zenodo server in the first version of this record. The second part is stored on Microsoft OneDrive. Password = SFVS Detailed information about the dataset and the Microsoft OneDrive download link can be found in the updated README file ("READ_ME_rev2.docx"). Note: the main contents of the dataset in Zenodo is denoted by 'Version 1.' Please click the 'Version 1' link to get there. Abstract We introduced the Silpakorn Forearm Vital Signs (SF-VS) dataset to support research on non-contact vital signs measurement from skin less affected by blood perfusion. This dataset, collected from 83 healthy volunteers, is designed to address the limitations of current methods, which may struggle under varying lighting conditions and with non-facial skin. The dataset comprises three key elements: video frames, timestamps, and reference heart rates. We randomly divided 83 healthy volunteers into three groups under varying lighting conditions: Group 1 (G1, 33 subjects): Controlled environment with direct-current LED light source (to minimize AC interference) and blocked external light. Only an LED ring light illuminated the skin area. Group 2 (G2, 24 subjects): Room with downlight ceiling LED lights.\ Group 3 (G3, 26 subjects): Room with ceiling fluorescent light tubes. Data for each subject is compressed into a ZIP file named "Group_ID+Subject_ID.zip" (e.g., "G1_S1.zip" for the first subject in Group 1).