论文标题
改进的无触摸呼吸速度感应
Improved Touchless Respiratory Rate Sensing
论文作者
论文摘要
最近，远程呼吸速率测量技术在开发以克服基于设备的经典方法和手动计数的局限性时引起了很多关注。提出了许多从可见光摄像机的视频流中提取RR的方法，包括像素强度更改方法。在本文中，我们为基于像素强度变化的方法提出了一种新的方法，用于创建1D轮廓，从而大大提高了该算法的性能。通过这项工作中介绍的新运动信号分组的新方法获得了额外的准确性增益。我们引入了标准管道的几个更改，该更改可以实时连续RR监视，并允许在人类计算机交互系统中进行应用。对两个内部和一个公共数据集的评估结果分别显示0.7 bpm，0.6 bpm和1.4 bpm MAE。
Recently, remote respiratory rate measurement techniques gained much attention as they were developed to overcome the limitations of device-based classical methods and manual counting. Many approaches for RR extraction from the video stream of the visible light camera were proposed, including the pixel intensity changes method. In this paper, we propose a new method for 1D profile creation for pixel intensity changes-based method, which significantly increases the algorithm's performance. Additional accuracy gain is obtained via a new method of motion signals grouping presented in this work. We introduce several changes to the standard pipeline, which enables real-time continuous RR monitoring and allows applications in the human-computer interaction systems. Evaluation results on two internal and one public datasets showed 0.7 BPM, 0.6 BPM, and 1.4 BPM MAE, respectively.
