Abstract
Camera-based measurement of vital signs utilizes imaging equipment to measure physiological changes by analyzing human body images. The contactless physiological measurement provides benefits across various fields, from healthcare and clinical trial to telemedicine and exercise scenarios. On the basis of advances in medicine, optics, and computer vision, these technologies have made significant progress. Research in this area has grown exponentially in recent years. In this review, we provide a comprehensive and meticulous overview of camera-based measurements of physiological vital signs, including four aspects: data acquisition, methodology, vital signs and applications. It covers the measurement of heart rate, heart rate variability, respiratory rate, blood pressure, and oxygen saturation, using various technologies including motion detection, signal processing, and deep learning. We also present newly released datasets and applications in new areas. At last, future promising prospects and potential research directions are also discussed.
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