For years we have been eager to better monitor dynamics in arousal and
brain noradrenaline in closed eye conditions such as sleep and
anesthesia. In this study we introduce a novel technology towards this
goal, which combines short wave infrared (SWIR) imaging with deep
learning algorithms to perform touchless pupillometry and eye tracking
behind closed eyelids. With our system and method, we show that
pupillary light reflex (PLR) and gaze direction data in closed eyes is
comparable to that obtained from open eyes. We are developing the method
further to track arousal in unresponsive conditions such as sleep,
anesthesia, and intensive care
Touchless short-wave infrared imaging for dynamic rapid pupillometry and gaze estimation in closed eyes
