Enhancing rPPG pulse-signal recovery by facial sampling and PSD Clustering

• Published in: Biomedical signal processing and control Vol. 101; p. 107158
• Main Authors: Boccignone, Giuseppe, Conte, Donatello, Cuculo, Vittorio, D’Amelio, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2025
• Subjects: Face mesh landmarks; Heart rate variability; Nonlinear dynamical systems; PSD analysis; Pulse rate estimation; Remote photoplethysmography (rPPG); Unsupervised circle clustering; PSD analysis; Unsupervised circle clustering; Face mesh landmarks; Pulse rate estimation; Nonlinear dynamical systems; Heart rate variability; Remote photoplethysmography (rPPG)

In order to increase the accuracy of traditional methods for camera-based pulse rate estimation, we propose a novel systemic approach that extracts multiple remote photoplethysmography (rPPG) signals from a set of scattered facial patches and effectively separates good estimates from noisy ones via...