Robust Pulse Rate From Chrominance-Based rPPG
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Abstract
Remote photoplethysmography (rPPG) enables contactless monitoring of the blood volume pulse using a regular camera. Recent research focused on improved motion robustness, but the proposed blind source separation techniques (BSS) in RGB color space show limited success. We present an analysis of the motion problem, from which far superior chrominance-based methods emerge. For a population of 117 stationary subjects, we show our methods to perform in 92% good agreement ( ±1.96σ) with contact PPG, with RMSE and standard deviation both a factor of 2 better than BSS-based methods. In a fitness setting using a simple spectral peak detector, the obtained pulse-rate for modest motion (bike) improves from 79% to 98%…
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1,311
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Authors
2Topics & keywords
Topics
Keywords
- Chrominance
- Photoplethysmogram
- Robustness (evolution)
- Computer vision
- RGB color model
- Computer science
- Artificial intelligence
- Standard deviation
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