EventSleep: A Novel Dataset and Methodology for Sleep Activity Recognition Using Event Cameras in Dark Environments

This work presents EventSleep, a novel dataset and methodology for studying the suitability of event cameras for sleep activity recognition in dark environments, and proposes a robust pipeline that leverages Bayesian deep learning techniques to achieve high accuracy and reliability.