论文标题
使用面部视频对心率估计方法的比较评估
A Comparative Evaluation of Heart Rate Estimation Methods using Face Videos
论文作者
论文摘要
本文介绍了使用面部视频进行远程心率估算方法的比较评估，即给定面部视频序列作为输入，方法是对其进行处理，以在每时每刻对受试者的心率进行强大的估计。测试了文献中的四种替代方法，三种基于手工制作的方法，另一种基于深度学习。使用Cohface数据库中的RGB视频比较方法。实验表明，基于学习的方法的精度要比手工制作的方法要好得多。基于学习的模型达到的低错误率使其在实际情况下的应用，例如在医疗或运动环境中。
This paper presents a comparative evaluation of methods for remote heart rate estimation using face videos, i.e., given a video sequence of the face as input, methods to process it to obtain a robust estimation of the subjects heart rate at each moment. Four alternatives from the literature are tested, three based in hand crafted approaches and one based on deep learning. The methods are compared using RGB videos from the COHFACE database. Experiments show that the learning-based method achieves much better accuracy than the hand crafted ones. The low error rate achieved by the learning based model makes possible its application in real scenarios, e.g. in medical or sports environments.
