3D Convolutional Neural Networks for Remote Pulse Rate Measurement and Mapping from Facial Video

• Published in: Applied sciences Vol. 9; no. 20; p. 4364
• Main Authors: Bousefsaf, Frédéric, Pruski, Alain, Maaoui, Choubeila
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2019; Multidisciplinary digital publishing institute (MDPI)
• Subjects: Artificial Intelligence; Blood; Cameras; Color; Computer Science; Computer Vision and Pattern Recognition; convolutional neural networks; Deep learning; Engineering Sciences; Machine learning; Neural networks; Oxygen saturation; Physiology; pulse rate; remote photoplethysmography; Signal and Image processing; Signal processing; Signal to noise ratio; Skin; Video compression; Vital signs; Wavelet transforms; Pulse rate; Remote photoplethysmography; Convolutional neural networks

Remote pulse rate measurement from facial video has gained particular attention over the last few years. Research exhibits significant advancements and demonstrates that common video cameras correspond to reliable devices that can be employed to measure a large set of biomedical parameters without a...