Detecting Pulse from Head Motions in Video

Guha Balakrishnan, Fredo Durand, John Guttag

CVPR 2013

doi:10.1109/CVPR.2013.440 /cvpr/2013/balakrishnan2013cvpr-detecting/

Abstract

We extract heart rate and beat lengths from videos by measuring subtle head motion caused by the Newtonian reaction to the influx of blood at each beat. Our method tracks features on the head and performs principal component analysis (PCA) to decompose their trajectories into a set of component motions. It then chooses the component that best corresponds to heartbeats based on its temporal frequency spectrum. Finally, we analyze the motion projected to this component and identify peaks of the trajectories, which correspond to heartbeats. When evaluated on 18 subjects, our approach reported heart rates nearly identical to an electrocardiogram device. Additionally we were able to capture clinically relevant information about heart rate variability.

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Cite

Text

Balakrishnan et al. "Detecting Pulse from Head Motions in Video." Conference on Computer Vision and Pattern Recognition, 2013. doi:10.1109/CVPR.2013.440

Markdown

[Balakrishnan et al. "Detecting Pulse from Head Motions in Video." Conference on Computer Vision and Pattern Recognition, 2013.](https://mlanthology.org/cvpr/2013/balakrishnan2013cvpr-detecting/) doi:10.1109/CVPR.2013.440

BibTeX

@inproceedings{balakrishnan2013cvpr-detecting,
  title     = {{Detecting Pulse from Head Motions in Video}},
  author    = {Balakrishnan, Guha and Durand, Fredo and Guttag, John},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2013},
  doi       = {10.1109/CVPR.2013.440},
  url       = {https://mlanthology.org/cvpr/2013/balakrishnan2013cvpr-detecting/}
}