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.
Sleep plays an important role in the overall health and wellbeing of a child. The relationship between sleep and daytime behaviours of children with neurodevelopmental disorders is understood poorly; different aspects of a child’s routine may interact with each other to contribute to sleep disorders. In order to diagnose, monitor and successfully treat many medical conditions pertaining to sleep, it becomes imperative to analyse the many aspects of a child’s daytime and sleep behaviours. In this paper, we propose a visual analytic tool for studying the interaction of different variables collected for a child with neurodevelopmental disorders. We propose a visual analytic tool which allows clinicians to explore how the different aspects of a child’s behaviour and activities affect their sleep. This tool is developed as an extension of an existing tool SWAPP, which allows caregivers and clinicians to log and monitor the child’s everyday data.