Estimation of the heartrate using face video - An innovative attempt.
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Estimating hear rate through sensors is one way of it. Figuring out what your heart rate is only requires a finger placed on your neck or wrist , a watch, and the ability to count. But if that seems like too much effort there are alternatives that can detect a heart rate using software and a camera. We have done that! Hope you like it! ...learn more
Project status: Under Development
Overview / Usage
The system works with just about any video footage. This application detects the user’s forehead and the focus is on the forehead region alone! The software uses the sub image's green channel and measures the average optical intensity to estimate the heart rate. Only requirement is the lighting has to be decent so as to get the estimation done in few seconds. It needs about 15 seconds for the task
Methodology / Approach
Eulerian Video Magnification is the major technique behind the entire process. The pulse algorithm proposed by Thearn is also utilized.
Technologies Used
Python, Image Processing, OpenCV