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Updated: Jan 24, 2026

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An open-source remote heart rate imaging method with practical apparatus and algorithms.

Koen M van der Kooij1, Marnix Naber2

  • 1Experimental Psychology, Faculty of Social Sciences, Utrecht University, Utrecht, The Netherlands.

Behavior Research Methods
|June 2, 2019
PubMed
Summary
This summary is machine-generated.

Remote photoplethysmography (rPPG) uses cameras to measure heart rate from skin. Facial rPPG is accurate, even after exercise, but wrist and calf measurements are unreliable.

Keywords:
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Area of Science:

  • Computer Science
  • Digital Image Processing
  • Biomedical Engineering

Background:

  • Advancements in computer vision enable non-contact heart rate monitoring.
  • Remote photoplethysmography (rPPG) extracts physiological signals from video.
  • Consumer cameras offer accessible rPPG implementation.

Purpose of the Study:

  • To structure future open-source rPPG software development for public access.
  • To assess the accuracy of rPPG for heart rate detection across different body parts.
  • To evaluate rPPG performance under post-exercise and ambient lighting conditions.

Main Methods:

  • Utilized consumer-level cameras (webcam, mobile) for video recording.
  • Applied rPPG algorithms to analyze pixel changes on skin surfaces.
  • Investigated rPPG accuracy on facial, wrist, and calf regions post-exercise.

Main Results:

  • Facial rPPG demonstrated high accuracy in heart rate detection, even after physical exertion.
  • rPPG recordings from wrist regions showed reduced reliability.
  • Calf rPPG measurements were found to be unreliable.

Conclusions:

  • Facial rPPG is a viable, accurate method for heart rate monitoring using consumer cameras.
  • rPPG accuracy varies significantly depending on the body region analyzed.
  • Future research should focus on improving rPPG reliability for non-facial areas.