A Robust Camera-based Method for Breath Rate Measurement
Alexey Protopopov

TL;DR
This paper introduces a robust camera-based method for measuring human breath rate from video footage, achieving high accuracy and resistance to movement distortions with minimal hardware.
Contribution
It presents a novel approach combining mathematical transforms that significantly improves accuracy and robustness over previous methods in breath rate measurement from videos.
Findings
Average mean absolute error of 0.57 respirations per minute
Less than 5% deviation from ground truth
Effective in real-world, movement-affected conditions
Abstract
Proliferation of cheap and accessible cameras makes it possible to measure a subject's breath rate from video footage alone. Recent works on this topic have proposed a variety of approaches for accurately measuring human breath rate, however they are either tested in near-ideal conditions, or produce results that are not sufficiently accurate. The present study proposes a more robust method to measure breath rate in humans with minimal hardware requirements using a combination of mathematical transforms with a relative deviation from the ground truth of less than 5%. The method was tested on videos taken from 14 volunteers with a total duration of over 2 hours 30 minutes. The obtained results were compared to reference data and the average mean absolute error was found to be at 0.57 respirations per minute, which is noticeably better than the results from previous works. The breath rate…
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · Heart Rate Variability and Autonomic Control · Cardiovascular and exercise physiology
