Camera Measurement of Physiological Vital Signs
release_47l2buzxg5ht5lhrqsuszjha6a
by
Daniel McDuff
2021
Abstract
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.
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