ML Anthology

Beat-to-Beat Cardiac Pulse Rate Measurement from Video

Brian L. Hill, Xin Liu, Daniel McDuff
ICCVW 2021 pp. 2739-2742
doi:10.1109/ICCVW54120.2021.00306 /iccvw/2021/hill2021iccvw-beattobeat/

Abstract

Non-invasive cardiac sensing has many applications. Cameras specifically are ubiquitous, low-cost, spatial sensors that can also be used to capture context alongside physiological signals. However, sufficient precision is necessary for this technology to have an impact and for it to be trusted. Benchmark datasets and competitions have contributed significantly to advancing the state-of-the-art methods and improving transparency. We present an entry to the vision for vitals (V4V) challenge.

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Cite

Text

Hill et al. "Beat-to-Beat Cardiac Pulse Rate Measurement from Video." IEEE/CVF International Conference on Computer Vision Workshops, 2021. doi:10.1109/ICCVW54120.2021.00306

Markdown

[Hill et al. "Beat-to-Beat Cardiac Pulse Rate Measurement from Video." IEEE/CVF International Conference on Computer Vision Workshops, 2021.](https://mlanthology.org/iccvw/2021/hill2021iccvw-beattobeat/) doi:10.1109/ICCVW54120.2021.00306

BibTeX

@inproceedings{hill2021iccvw-beattobeat,
  title     = {{Beat-to-Beat Cardiac Pulse Rate Measurement from Video}},
  author    = {Hill, Brian L. and Liu, Xin and McDuff, Daniel},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2021},
  pages     = {2739-2742},
  doi       = {10.1109/ICCVW54120.2021.00306},
  url       = {https://mlanthology.org/iccvw/2021/hill2021iccvw-beattobeat/}
}