CONTACT SURFACE AREA: A NOVEL SIGNAL FOR HEART RATE ESTIMATION IN SMARTPHONE VIDEOS

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%).