Camera Measurement of Physiological Vital Signs

TL;DR

This survey reviews camera-based methods for remotely measuring vital signs, discussing techniques, applications, challenges, and available resources to advance healthcare monitoring technologies.

Contribution

It provides a comprehensive overview of computational methods, applications, and resources for camera-based vital sign measurement, highlighting current challenges and future directions.

Findings

Cameras can measure various vital signs like heart rate and respiration.

Significant progress has been made in clinical and non-clinical applications.

Resources like datasets and code are publicly available for research.

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.