VPGLIB

VPGLIB is the library for the blood pulse extraction from the video of the human face. HR measurement ranges from 55 bpm to 175 bpm and absolute error in most cases should be less than 5 bpm. Pay attention that ordinary PC is not certified as measurement tool, so measurement error could be high. Use library only at your own risk, no warranties are granted.

How to use:

#include "vpg.h"
...
cv::VideoCapture capture;

if(capture.open(0)) { // open default video capture device	
	vpg::FaceProcessor faceproc(CASCADE_FILENAME); // CASCADE_FILENAME is a path to haarcascade or lbpcascade for the face detection
	double framePeriod = faceproc.measureFramePeriod(&capture); // measure discretization period of the video in milliseconds
	vpg::PulseProcessor pulseproc(framePeriod); // object that performs harmonic analysis of vpg-signal
	cv::Mat frame;
	unsigned int k = 0; // it is counter of enrolled frames
	double s = 0.0, t = 0.0; // this is variables for temporal results storing ('s' for vpg-signal count, 't' for actual frame time)
	while(true) {
		if(capture.read(frame)) {
			faceproc.enrollImage(frame, s, t); // perform face detection, then skin detection, then average skin pixels
			pulseproc.update(s,t); // update vpg-signal
			cv::rectangle(frame,faceproc.getFaceRect(),cv::Scalar(255,255,255)); // draw target rect
			cv::imshow("Video probe", frame);
	        }
	        if(k % 64 == 0) {
		        std::printf("\nHR measurement: %d bpm\n\n", pulseproc.computeFrequency()); // compute and print heart rate estimation
		}
	        k++;
		int c = cv::waitKey(1.0); // enroll user input
		if( (char)c == '27' )  {// use need to press escape for the exit 
			break;
		}
	}
}
...

Dependencies:

OpenCV

prvn16/vpglib

VPGLIB