Heart Rate Measurement Based on Color Signal Extraction

Sinhal, Ruchika; Singh, Kavita R.; Raghuwanshi, M. M.

doi:10.35940/ijitee.j9300.0881019

Cited by 3 publications

(1 citation statement)

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“…In this paper, we presented a comparative analysis of various techniques such asVerkruysse's green channel, Poh's ICA, De Haan's CHROM, Balakrishnan's BCG rPPG algorithms with our proposed heart rate estimation technique as shown in Algorithm 1 explained in subsequent section below [29].…”

Section: Related Workmentioning

confidence: 99%

Color Intensity: A Study of RPPG Algorithm for Heart Rate Estimation

Singh¹,

Sinhal²,

Wasalwar³

et al. 2020

JUSST

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With the growing advancements and development in the field of digital image processing and computer vision, an individual’s heart pulse can be extracted from the human skin surfaces. This method is termed as remote photoplethysmography (rPPG). The method can be applied from the video recorded from the consumer-based mobile camera also. In this paper, the work presented has mainly twofold goals. Firstly to develop a fruitful yet simple rPPG algorithm that should be simple for any individual to understand and implement that will increase the understanding of the rPPG subject. Secondly, to compare the algorithm designed for the RGB color model with the state-of-art rPPG algorithms developed and presented in the literature. And finally, we present the comparative analysis of rPPG algorithms reported in the literature with our proposed rPPG algorithm which is simple and has demonstrated comparably high performance for the green channel as compared to other algorithms.

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Section: Related Workmentioning

confidence: 99%