Learning-based heart rate detection from remote photoplethysmography features

@article{Hsu2014LearningbasedHR,
  title={Learning-based heart rate detection from remote photoplethysmography features},
  author={YungChien Hsu and Yen-Liang Lin and Winston H. Hsu},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={4433-4437}
}
Remote photoplethysmography (rPPG) enables measuring heart rate from recorded skin color variations with consumer cameras. Recent research has aimed to improve the signal strength of color variations caused by heart beat by using independent component analysis (ICA) technique or analyzing chrominance-based model. In this paper, we argue for treating this emerging problem in a novel aspect - proposing a learning-based framework to accommodate multiple and temporal feature and yielding… CONTINUE READING

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