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Open Access Visualization of Carbon Monoxide Particles Released from Firearms

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A significant number of soldiers have come forward to report discomfort, irritation, and respiratory problems after taking part in live firing sessions. These problems appear to be caused due to the fumes and particulates emitted from the gun upon firing. There exists substantial research focused on lead and other harmful metallic particulates expelled from a firearm as those are considered the most harmful among the emissions. However, our research focuses on visualizing the carbon monoxide (CO) particles released from a firearm to improve our understanding of their adverse effects on the human body. We use data provided by researchers at Wright-Patterson Air Force Base (WPAFB) enhanced with analyses of provided video material to devise a visualization that shows the correlations between the concentration of CO particles and Lung Deposited Surface Area (LDSA) values as well as other relevant parameters. The results are summarized in the form of a dynamic parallel coordinates plots for in-depth analysis by the domain specialists. Results of this study may be used to glean information about the interrelation between CO particles released and health issues faced by individuals after firing a weapon during a training exercise.
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Keywords: CMT; Carbon Monoxide; Correlation; Firearm; Parallel Coordinates; Video Tracking

Document Type: Research Article

Publication date: January 13, 2019

This article was made available online on January 13, 2019 as a Fast Track article with title: "Visualization of carbon monoxide particles released from firearms".

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

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