基于人脸视频测量脉搏方法的初步研究

A New Method of Measuring the Pulse Based on Facial Video

介绍一种基于光电容积脉搏波描记法(PPG)和独立成分分析(ICA)模型,通过分析一段人脸视频实现非接触式测量脉搏的新方法。该方法可以在正常环境下,通过摄像头获取一段人脸面部的彩色视频,对人脸区域进行RGB通道分离和ICA处理后,找到与人体脉搏波最为接近的一组分量作为测量结果。本文首先介绍PPG和ICA的基本原理,然后介绍基于两者视频脉搏的测量过程,最后给出实验结果和对比数据。

This paper proposes a new method of non-contact pulse measurement by analyzing a clip of human facial video. The method is based on photo plethysmo graphy （PPG） and independent component analysis （ICA） model. A clip of color facial video shot under normal lighting condition is firstly discomposed into RGB channel sequences. Sec- ondly, by applying ICA to the 3 channel sequences, 3 new independent signals are obtained, among which one signal is close to human pulse wave. Thus the pulse can be measured. In this paper, the principles of PPG and ICA are briefly described and the measurement framework is proposed. The experimental results showed that this novel ap- proach was reasonable and feasible.