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On Indirect Assessment of Heart Rate in Video
AbstractProblem of indirect assessment of heart rate in video is addressed. Several methods of indirect evaluations (adaptive baselines) were examined on Remote Physiological Signal Sensing challenge. Particularly, regression models of dependency of heart rate on estimated age and motion intensity were obtained on challenge's train set. Accounting both motion and age in regression model led to top-quarter position in the leaderboard. Practical value of such adaptive baseline approaches is discussed. Although such approaches are considered as non-applicable in medicine, they are valuable as baseline for the photoplethysmography problem.
Related Material
[pdf][bibtex]@InProceedings{Kopeliovich_2020_CVPR_Workshops,
author = {Kopeliovich, Mikhail and Kalinin, Konstantin and Mironenko, Yuriy and Petrushan, Mikhail},
title = {On Indirect Assessment of Heart Rate in Video},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
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