IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Unified Physiological and Illumination Modeling for Heart Rate Estimation Using Dynamic Mode Decomposition and RGB/NIR Sensor
Kosuke KURIHARAYoshihiro MAEDADaisuke SUGIMURATakayuki HAMAMOTO
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論文ID: 2025PCP0004

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We propose a non-contact heart rate (HR) estimation method that models weak physiological blood volume pulse (BVP) signals and strong noise signals caused by background illumination. Our method integrates BVP signal extraction based on a physiological model and a flexible RGB/NIR integration scheme based on an illumination model in a unified manner. This unified framework enables accurate extraction of the BVP signal while suppressing noise derived from ambient light, and thus improves HR estimation performance. We demonstrate the effectiveness of our method through experiments using several datasets, including various illumination scenes. Our code will be available on https://github.com/kosuke-kurihara/PhysIllumHR.

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© 2025 The Institute of Electronics, Information and Communication Engineers
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