Real-time Estimation of Heart Rate from Facial Video

In the field of medical diagnostics, heartbeat detection is a crucial task, but conventional methods call for specialized tools and qualified personnel. The use of signal processing and computer vision techniques has gained popularity in recent years. This study describes a technique for real-time heart rate monitoring using a webcam and JavaScript. The suggested method takes the facial region out of the webcam's video frames and uses signal processing to estimate the heart rate. In particular, the technique detects the subtle color changes brought on by the blood flow in the skin and uses the chrominance information of the facial region to estimate the heart rate. The method also employs motion compensation algorithms to decrease the impact of head motions and facial expressions on heart rate measurement. The suggested approach can offer a low-cost and non-invasive way to detect a person's heart rate and has potential applications in healthcare, fitness monitoring, and wellness tracking.