most citedAnalysis of CNN-based remote-PPG to understand limitations and sensitivities

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cs.CV2026

Optimize-at-Capture: Highly-adaptive Exposure Controlling for In-Vehicle Non-contact Heart-rate Monitoring

Jieying Wang, Xinqi Cai, Caifeng Shan +1

Remote photoplethysmography (rPPG) holds great promise for continuous heart-rate monitoring of drivers in intelligent vehicles. However, its performance is severely degraded by the…

cs.CV2019★ 2 cited

Analysis of CNN-based remote-PPG to understand limitations and sensitivities

Qi Zhan, Wenjin Wang, Gerard de Haan

Deep learning based on Convolutional Neural Network (CNN) has shown promising results in various vision-based applications, recently also in camera-based vital signs monitoring. Th…