MPU-rPPG Sample Dataset

Remote photoplethysmography (rPPG) is a non-contact method for monitoring physiological signals by analyzing subtle changes in skin light intensity caused by blood volume fluctuations. As rPPG moves closer to real-world deployment, comprehensive datasets are essential for the development of robust algorithms across diverse conditions and populations. Building on existing efforts, we introduce the MPU-rPPG dataset, designed to bridge current gaps and establish a new gold standard for rPPG research. This dataset captures high-fidelity physiological signals from multiple body regions (including the face and limbs) under varying light conditions and environments. It supports heart rate ranges from 50–160 bpm, accommodating both resting states and high-intensity activities, and includes a diverse set of subjects across different skin tones and demographics. The versatility of the MPU-rPPG dataset enables applications from daily health tracking to advanced early-warning systems in professional settings, such as hospitals, driver fatigue monitoring, and detection of heart rate anomalies during endurance events like marathons. By addressing these critical needs, the MPU-rPPG dataset provides a comprehensive foundation for the development of real-world rPPG systems and is committed to setting a new benchmark for future research.