Remote photoplethysmography (rPPG)
Health is a growing concern in modern society, and monitoring physiological indicators is an important part of maintaining health. Traditional health monitoring methods often require the use of contact sensors to monitor the human body, which is less convenient and comfortable, and often only measures relatively single physiological indicators, such as heart rate and blood oxygen. Traditional monitoring methods require complex instrumentation and sampling processes that require manual intervention, which is impractical for routine testing.
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The MPSC-rPPG dataset comprises photoplethysmograph (rPPG) data with the PPG ground truth, making it a perfect dataset to evaluate various algorithms for extracting PPG, measuring heart rate, heart rate variability from video. The dataset contains facial videos and Blood Volume Pulse (BVP) data captured concurrently.
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