Remote estimation of vital signs is an important and active area of research. The goal of this work was to analyze the feasibility of estimating respiration parameters from video sequences of faces recorded using a mobile thermal camera. Different estimators were analyzed and experimentally verified. It was demonstrated that the respiration rate, periodicity of respiration, and presence and length of apnea periods could be reliably estimated from signals recorded using a portable thermal camera. The size of the camera and efficiency of the methods allow the implementation of this method in smart glasses.

中文翻译：

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分析从热图像序列中提取的呼吸模式的参数。

生命体征的远程估计是一个重要且活跃的研究领域。这项工作的目标是分析从使用移动热像仪记录的面部视频序列估计呼吸参数的可行性。对不同的估计器进行了分析和实验验证。事实证明，可以根据便携式热像仪记录的信号可靠地估计呼吸速率、呼吸周期以及呼吸暂停期的存在和长度。相机的尺寸和方法的效率允许在智能眼镜中实施该方法。