rPPG-master
所属分类：matlab编程
开发工具：matlab
文件大小：3396KB
下载次数：9
上传日期：2020-05-25 23:20:04
上 传 者：
zhangsf2308
说明： 基于人脸视频提取心率值，实现无接触心率测量。原理是人类血液对与各种频率的光照都有一定的吸收作用，而心跳会引起皮下的毛细血管血液流量变化，从而使皮肤的颜色在心跳的作用下进行周期性的变化。方法对应文章：
van der Kooij & Naber (2018). Standardized procedures for the testing and reporting of remote heart rate imaging. Behavior Research Methods
(Remote photoplethysmography (rPPG) enables contactless monitoring of the blood volume pulse using a regular camera. We present an analysis of the motion problem, from which far superior chrominance-based methods emerge.)
文件列表:
LICENSE (35141, 2019-06-05)
RunMe.m (12321, 2019-06-05)
detectFace.m (901, 2019-06-05)
extractFaceFromVideo.m (16583, 2019-06-05)
gpl.txt (35813, 2019-06-05)
rPPG.m (22409, 2019-06-05)
rPPG_video.mp4 (3467572, 2019-06-05)
selectFaceTemplate.m (2300, 2019-06-05)
selectFaceTemplateColorCluster.m (4947, 2019-06-05)
selectFaceTemplateManualHueSaturationSelection.m (7647, 2019-06-05)
# rPPG - remote heart rate detection / photoplethysmography software development
run "RunMe.m" for a demo. Adapt this script to you own needs.
Run in matlab version 2014b or younger.
To get the scripts to work, first download the fastica (version 2.5) matlab scripts
by Hugo Gvert, Jarmo Hurri, Jaakko Srel, and Aapo Hyvrinen:
https://github.com/aludnam/MATLAB/tree/master/FastICA_25
-----------------ACKNOWLEDGMENT-------------------
van der Kooij & Naber (2018). Standardized procedures for the testing and reporting of remote heart rate imaging. Behavior Research Methods
http://link.springer.com/article/10.3758/s13428-019-01256-8
-----------------CONTACT-------------------
For questions, remarks, or problems with the code, please contact: marnixnaber@gmail.com
-----------------PARAMETERS-------------------
Below you can vary the parameters for the signal processing steps (e.g. frequency filtering).
In the "extractFaceFromVideo.m" file you will find more parameters that can be adjusted (e.g., sensitivity to detect faces, number of points to track the face, and method to detect skin pixels)
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