Non-Contact Pulse Rate Detection Methods Based on Adaptive Projection Plane

Chang-Hong Fu, Yan Zhang, Jiawei Pan, Xingyan He and Hong Hong ()
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Chang-Hong Fu: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Xiao Ling Wei 200, Nanjing 210094, China
Yan Zhang: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Xiao Ling Wei 200, Nanjing 210094, China
Jiawei Pan: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Xiao Ling Wei 200, Nanjing 210094, China
Xingyan He: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Xiao Ling Wei 200, Nanjing 210094, China
Hong Hong: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Xiao Ling Wei 200, Nanjing 210094, China

Mathematics, 2025, vol. 13, issue 17, 1-19

Abstract: For an intuitive understanding of traditional remote photoplethysmography (rPPG), this study categorizes existing algorithms into two main types: spatial vector projection and spatial angle projection in RGB color space. The RGB variation induced by noise ( RGB noise ) is visualized in color space and approximated by the raw RGB signal. We propose APON (Adaptive Projection plane Orthogonal to Noise) to suppress artifacts. Two rPPG methods, APON_Vector and APON_Angle , are then developed from this adaptive plane. Comparative experiments on the public databases show that APON_Vector is comparable to state-of-the-art methods like CHROM and POS (achieving an Accuracy of 87.35%), while APON_Angle outperforms other angle projection methods (reducing MAE to 0.78 bpm). The results show that the simple yet effective APON contains significant pulse variation and holds potential for more pulse detection methods.

Keywords: adaptive projection plane; color space; RGB; Hue channel; rPPG (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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