A System for Detection and Tracking of Oculo-Vestibular Complications Associated with Extended Reality Headset Usage

The rising popularity of extended reality (XR) technology has brought about significant transformations in diverse fields such as gaming, entertainment, and education. However, along with the prolonged and frequent usage of other digital devices, the use of XR headsets has raised concerns among healthcare providers due to potential health complications. This paper aims to examine the various health issues associated with XR headset usage and introduces a novel system for detecting and monitoring XR-related ocular and vestibular complications, followed by guidance and actions for preventing further complications. The system leverages the GPT-4 model to generate adaptive health check questions, providing individualized monitoring for each user. It utilizes a Raspberry Pi equipped with a camera to collect and analyze user data in real-time, focusing on balance-related complications. This system's objective is to enable early detection and prevention of these issues, thereby improving the safety and overall user experience of XR technologies.