2023/10/01 by Liang, Laurence
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
paper · doi:10.48550/arxiv.2401.01032
Remote Photoplethysmography (rPPG) uses the cyclic variation of skin tone on a person's forehead region to estimate that person's heart rate. This paper compares two methods: a bounding box-based method and a landmark-detection-based method to estimate heart rate, and discovered that the landmark-based approach has a smaller variance in terms of model results with a standard deviation that is more than 4 times smaller (4.171 compared to 18.720).