A non-contact heart rate measurement method resistant to illumination changes based on fast wavelet transform and second-order blind identification in far-field environments

Rui Yuan; Chao Zhang

doi:10.1117/12.3022892

28 March 2024 A non-contact heart rate measurement method resistant to illumination changes based on fast wavelet transform and second-order blind identification in far-field environments

Rui Yuan, Chao Zhang

Author Affiliations +

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130910M (2024) https://doi.org/10.1117/12.3022892
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

Heart rate is a key parameter for evaluating a person’s physiological condition. In recent years, there have been many researches on remote heart rate measurement. However, these methods are mostly conducted in close-range scenarios, making them inapplicable in many scenarios. Remote photoplethysmography provides more possibilities for heart rate measurement in far-field environments. Moreover, the performance of heart rate measurement will be significantly reduced when the subject’s movement and the illumination changing. We propose a rPPG framework for heart rate detection, which selects a larger region of interest using feature point tracking in far-field environments. The combination of fast wavelet transform and second-order blind identification is used to resist illumination interference and most of the motion interference. Singular spectrum analysis is then used to resist residual motion interference. In addition, we collected a database of illumination changes in far-field environments and tested our framework with it. The results show that our method is superior to all previous methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Rui Yuan and Chao Zhang "A non-contact heart rate measurement method resistant to illumination changes based on fast wavelet transform and second-order blind identification in far-field environments", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130910M (28 March 2024); https://doi.org/10.1117/12.3022892

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KEYWORDS

Heart

Light sources and illumination

Signal processing

Video

Environmental sensing

Fast wavelet transforms

Matrices

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