Camera Measurement of Physiological Vital Signs
It addresses the need for remote healthcare monitoring tools by summarizing existing research and resources, but is incremental as it is a survey paper.
This paper presents a comprehensive survey of camera measurement of physiological vital signs, covering the vital signs that can be measured, computational techniques, and applications in clinical and non-clinical settings.
The need for remote tools for healthcare monitoring has never been more apparent. Camera measurement of vital signs leverages imaging devices to compute physiological changes by analyzing images of the human body. Building on advances in optics, machine learning, computer vision and medicine these techniques have progressed significantly since the invention of digital cameras. This paper presents a comprehensive survey of camera measurement of physiological vital signs, describing they vital signs that can be measured and the computational techniques for doing so. I cover both clinical and non-clinical applications and the challenges that need to be overcome for these applications to advance from proofs-of-concept. Finally, I describe the current resources (datasets and code) available to the research community and provide a comprehensive webpage (https://cameravitals.github.io/) with links to these resource and a categorized list of all the papers referenced in this article.