Contactless Blood Oxygen Saturation Estimation from Facial Videos Using Deep Learning.

Blood oxygen saturation (SpO) is an essential physiological parameter for evaluating a person's health. While conventional SpO measurement devices like pulse oximeters require skin contact, advanced computer vision technology can enable remote SpO monitoring through a regular camera without skin contact. In this paper, we propose novel deep learning models to measure SpO remotely from facial videos and evaluate them using a public benchmark database, VIPL-HR.