In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmographic (PPG) to detect heart rate (HR) and respiration rate (RR). Smartphone cameras also can measure HR by detecting and processing imaging Photoplethysmographic (iPPG) signals from the video of a user's face. Indeed, the variation in the intensity of the green channel can be measured by the iPPG signals of the video. This study aimed to provide a method to extract heart rate and respiration rate using the video of individuals' faces. The proposed method is based on measuring fluctuations in the Hue, and can therefore extract both HR and RR from the video of a user's face. The proposed method is evaluated by performing on 25 healthy individuals. For each subject, 20 seconds video of his/her face is recorded. Results show that the proposed approach of measuring iPPG using Hue gives more accurate rates than the Green channel.

翻译：近些年来,通过智能手机监测生命迹象的研究显著增长。 有一些特殊的传感器,如电心图和光谱成像仪(PPG)来检测心率和呼吸率(RR)。 智能手机相机还可以通过探测和处理用户脸部视频中的成像光谱成像信号(iPPG)来测量HR。 事实上,绿色通道强度的变化可以通过视频的 iPPG 信号来测量。 这项研究旨在提供一种方法,用个人脸部视频来提取心率和呼吸率。 提议的方法基于测量色调的波动,因此可以从用户脸部视频中提取HR和RRR。 拟议的方法通过对25个健康的个人进行演练来进行评估。 每个主题都记录了他/她的面部20秒的视频。 研究结果显示,提议的使用Hue 测量iPG 的方法比绿色频道更准确。