rPPG-heart-rate-estimation-traditional-method
rPPG-heart-rate-estimation-traditional-method is a software package designed for contactless heart rate estimation using Remote Photoplethysmography (rPPG). Developed as the first phase of a graduation project, this tool enables the measurement of human heart rate from video footage without physical contact with medical devices. The system processes video data by integrating face detection and skin segmentation to isolate relevant signals. It implements four traditional signal processing algorithms: the Chrominance-based Method (CHROM), the Green-channel Vercruysse Method (GREEN), Independent Component Analysis (ICA), and the Plane-Orthogonal-to-Skin (POS) method. These algorithms are executed using the iPhys MATLAB toolbox, which provides standard baseline implementations for non-contact physiological measurements. The software is primarily intended for researchers and students to compare the accuracy of different traditional rPPG techniques, specifically evaluating performance metrics like Root Mean Square