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.
SoulChat2.0 is a framework for constructing the digital twin of psychological counselors, designed to support the development of AI applications in mental health. It includes a data generation module and a modeling module, enabling the creation of personalized counseling models based on limited real-world counseling cases.
Lingxin (SoulChat) is a psychological health large model fine-tuned with millions of Chinese long-text instructions and multi-turn empathetic dialogue data in the field of psychological counseling.
The Mental Health Corpus contains labeled comments on mental health issues, used for sentiment and toxic language analysis.