rPPG Signal

Remote photoplethysmography (rPPG) is a non-contact technique for extracting physiological signals, primarily heart rate, from facial videos by analyzing subtle color variations caused by blood volume changes. Current research emphasizes improving the robustness of rPPG against motion artifacts, varying lighting conditions, and different facial features, employing techniques like masked attention mechanisms, synthetic signal generation, and transformer-based architectures alongside convolutional neural networks. This field is significant for its potential in remote health monitoring, biometric authentication, and other applications requiring contactless physiological sensing, driving ongoing efforts to enhance accuracy, efficiency, and generalization capabilities across diverse datasets and scenarios.