Web Pulse Monitor

. We will calculate a person’s heart rate using a basic webcam or even their phone’s camera, making it a non-contact method. It will be easier to take care of your health as we move closer to a time when everyone is concerned about their wellbeing. Having a machine that measures your heartbeat is rather expensive, so our aim is to use our current resources to measure one’s heartrate without incurring any additional costs. Elevated or abnormal heart rates can be fatal or serious for a normal or a middle aged person. Each time the heart beats, blood is expelled and travels through the body. This blood flow can be detected in the face using a standard webcam that is able to pick up subtle changes in color that cannot be seen by the naked eye. Due to the light absorption spectrum of blood, we are able to detect differences in the amount of light absorbed by the blood traveling just below the skin (i.e., photoplethysmography).Emotions can be detected by using haar cascades, feature extraction from ROI and then processing it.OpenCV and Python has been used for human computer interaction.For the detection of heartbeat, we use remote photoplethmysography.This paper discusses the reimplementation of one such approach that uses independent component analysis on mean pixel color values within a region of interest (ROI) about the face.