接触表面积：智能手机视频中心率估计的新信号
Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos
摘要：
我们考虑基于智能手机视频的心率估计的问题，其通常依赖于测量用户皮肤的绿色强度。我们描述了一种新的信号在指尖视频用于基于智能手机的心率估计：指尖接触表面积。我们提出了一个模型，接触表面积的压力，并验证了它的数据集的786个视频从62个参与者通过展示接触表面积和绿色强度之间的统计相关性。我们使用两种算法在我们的数据集上估计心率，一种是仅使用绿色信号的基线，另一种是基于颜色和面积的新算法。与基线算法（6.4%）和使用基于颜色的商业应用程序（>6%）的已发表结果相比，我们使用新算法（4.1%）证明了较低的实质性错误率（>10次/分钟）。
英文摘要：
We consider the problem of smartphone video-based heart rate estimation, which typically relies on measuring the green color intensity of the user's skin. We describe a novel signal in fingertip videos used for smartphone-based heart rate estimation: fingertip contact surface area. We propose a model relating contact surface area to pressure, and validate it on a dataset of 786 videos from 62 participants by demonstrating a statistical correlation between contact surface area and green color intensity. We estimate heart rate on our dataset with two algorithms, a baseline using the green signal only and a novel algorithm based on both color and area. We demonstrate lower rates of substantial errors (>10 beats per minute) using the novel algorithm (4.1%), compared both to the baseline algorithm (6.4%) and to published results using commercial color-based applications (>6%).
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