Heart Rate (HR) is one of the most important Physiological parameter and a vital indicator of people‘s physiological state
A non-contact based system to measure Heart Rate: real-time application using camera
Principal: extract heart rate information from facial skin color variation caused by blood circulation
Application: monitoring drivers‘ physiological state
Methods
Detect face, align and get ROI using facial landmarks
Apply band pass filter with fl = 0.8 Hz and fh = 3 Hz, which are 48 and 180 bpm respectively
Average color value of ROI in each frame is calculate pushed to a data buffer which is 150 in length
FFT the data buffer. The highest peak is Heart rate
Amplify color to make the color variation visible
Requirements
pip install -r requirements.txt
Implementation
python GUI.py
In case of plotting graphs, run “graph_plot.py”
For the Eulerian Video Magnification implementation, run “amplify_color.py”
Results
Data from a specialized device, Compact 5 medical Econet, is used for the ground truth. In certain circumstances, the Heart rate values measured using the application and the device are the same
Reference
Real Time Heart Rate Monitoring From Facial RGB Color Video Using Webcam by H. Rahman, M.U. Ahmed, S. Begum, P. Funk
Remote Monitoring of Heart Rate using Multispectral Imaging in Group 2, 18-551, Spring 2015 by Michael Kellman Carnegie (Mellon University), Sophia Zikanova (Carnegie Mellon University) and Bryan Phipps (Carnegie Mellon University)
Non-contact, automated cardiac pulse measurements using video imaging and blind source separation by Ming-Zher Poh, Daniel J. McDuff, and Rosalind W. Picard
Camera-based Heart Rate Monitoring by Janus Nørtoft Jensen and Morten Hannemose