S. Mukherjee, Nabarun Mukhopadhyay, S. Das, Ritesh Kumar Addya, Subhajit Bera, Shrishti, Debnath, Sudipta Basu Pal, Piyali Chandra
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Automatic Realtime Webcam based Heart Rate Monitoring System
- In the current situation of COVID 19, a contactless method of measuring heart rate is essential. This project focuses on real-time heart rate detection using a simple webcam. It uses OpenCV for face detection, and then it isolates the forehead part. The heart rate is determined by measuring the average optical intensity in the forehead region. Here we have used face detection, filtering and peak detection in the FFT domain. A stable heartbeat can be isolated in about 15 seconds when there is good lighting and minimum noise. After the estimation of the user's heart rate, real-time phase variation associated with this frequency is also computed. Support for detection on more than one individual at a time in a single camera's image is also possible. Still, only the information from a single face is taken for analysis.
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