EventEgo3D is a novel approach for real-time 3D human motion capture from egocentric event streams, addressing the limitations of existing methods that often fail under low lighting and fast motions. The paper introduces a new problem and proposes EventEgo3D (EE3D), the first approach to tackle it. EE3D leverages event streams, which provide high temporal resolution and reliable cues for 3D human motion capture, especially under high-speed human motions and rapidly changing illumination. The framework is designed to work with event streams in the LNES representation, enabling high 3D reconstruction accuracy. The authors also developed a compact head-mounted device (HMD) with an event camera and recorded a real dataset with ground-truth 3D human poses and event observations. EE3D demonstrates superior 3D accuracy and robustness compared to existing methods, achieving a pose update rate of 140Hz. The paper includes a detailed introduction to the problem, related work, method description, experimental evaluation, and supplementary material.EventEgo3D is a novel approach for real-time 3D human motion capture from egocentric event streams, addressing the limitations of existing methods that often fail under low lighting and fast motions. The paper introduces a new problem and proposes EventEgo3D (EE3D), the first approach to tackle it. EE3D leverages event streams, which provide high temporal resolution and reliable cues for 3D human motion capture, especially under high-speed human motions and rapidly changing illumination. The framework is designed to work with event streams in the LNES representation, enabling high 3D reconstruction accuracy. The authors also developed a compact head-mounted device (HMD) with an event camera and recorded a real dataset with ground-truth 3D human poses and event observations. EE3D demonstrates superior 3D accuracy and robustness compared to existing methods, achieving a pose update rate of 140Hz. The paper includes a detailed introduction to the problem, related work, method description, experimental evaluation, and supplementary material.