LucaCerina / videoPPG_video2raw

Tool that identifies ROIs on human faces and extract raw signal for videoPPG extraction. From Cerina et al., Influence of acquisition frame-rate and video compression techniques on pulse-rate variability estimation from vPPG signal, 2019

videoPPG: video to raw signal

Tool that identifies ROIs on human faces and extract raw signal for videoPPG extraction. From Cerina et al., Influence of acquisition frame-rate and video compression techniques on pulse-rate variability estimation from vPPG signal, 2019 and AFCam project by Corino et al., Computing in Cardiology (CinC), 2017

Dependencies

• QT Creator (tested on v5.7) with compiler to build the project
• OpenCV (tested on v3.1) library The .pro file should be modified to point to the correct OpenCV folder

How to use the tool

At the start of the tool, the path of the video and the output name are asked to the user. It is al so asked the camera rotation of the video (if known).

Original contributors

• Luca Cerina, formerly Politecnico di Milano
• Professor Luca Mainardi, Politecnico di Milano
• Professor Riccardo Barbieri, Politecnico di Milano
• Luca Iozzia PhD, TeiaCare, formerly Politecnico di Milano
• Valentina D.A. Corino PhD, Politecnico di Milano

Project repositories

• Camera Interface for data collection: cameraInterface
• Processing of raw RGB signal to Heart Rate Variability raw2hrv

To cite this work

If you use this project in a scientific paper, please cite:

@article{cerina2019influence,
  title={Influence of acquisition frame-rate and video compression techniques on pulse-rate variability estimation from vPPG signal},
  author={Cerina, Luca and Iozzia, Luca and Mainardi, Luca},
  journal={Biomedical Engineering/Biomedizinische Technik},
  volume={64},
  number={1},
  pages={53--65},
  year={2019},
  publisher={De Gruyter}
}