Contactless Blood Oxygen Saturation Estimation from Facial Videos Using Deep Learning
Chun-Hong Cheng,
Zhikun Yuen,
Shutao Chen
et al.
Abstract:Blood oxygen saturation (SpO2) is an essential physiological parameter for evaluating a person’s health. While conventional SpO2 measurement devices like pulse oximeters require skin contact, advanced computer vision technology can enable remote SpO2 monitoring through a regular camera without skin contact. In this paper, we propose novel deep learning models to measure SpO2 remotely from facial videos and evaluate them using a public benchmark database, VIPL-HR. We utilize a spatial–temporal representation to… Show more
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