The iBVP dataset is a collection of synchronized RGB and thermal infrared videos with PPG ground-truth signals acquired from an ear. It includes manual signal quality labels and dense signal-quality assessment using the SQA-PhysMD model. The dataset is designed to induce real-world variations in psycho-physiological states and head movement.
The iBVP dataset, introduced in the paper 'iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels', provides a comprehensive set of synchronized RGB and thermal videos with PPG signals. It is ideal for researchers working on remote photoplethysmography (rPPG) and signal quality assessment. The dataset is available for academic research purposes and can be requested by submitting a signed EULA.
The Lothian Diary Project consists of 125+ audio/video recordings collected from residents of Edinburgh and the Lothian counties in Scotland. Participants discuss their experiences during different stages of the Covid-19 pandemic. The recordings are accompanied by transcriptions and demographic information.
The Weibo User Depression Detection Dataset is a large-scale dataset for detecting depression in Weibo users. It includes user profiles, tweets, and labels indicating whether the user is depressed. The dataset is useful for researchers working on mental health and social media analysis.
Collaborative assessment as an intervention in the treatment of mental Illness: a systematic review