Latency and Distortion of Electromagnetic Trackers for Augmented Reality Systems

This work addresses the challenges of latency and distortion in electromagnetic tracking for AR systems, presenting innovative solutions and calibration techniques throughout Latency and Distortion of Electromagnetic Trackers for Augmented Reality Systems.

In Latency and Distortion of Electromagnetic Trackers for Augmented Reality Systems, the authors delve into the critical challenges faced by augmented reality (AR) systems, primarily focusing on the issues of latency and distortion in electromagnetic tracking. These challenges can significantly hinder user experience, as delays in display systems and inaccuracies in object registration can disrupt the immersive quality that AR aims to provide. The book explores advanced techniques to mitigate these effects, emphasizing the integration of AC electromagnetic trackers with head orientation prediction to enhance situational awareness in AR environments.

The first section of the book introduces a novel approach to tracking angular head velocity using quaternion orientation through an Extended Kalman Filter. This method is implemented in both single model and multiple model configurations, showcasing its versatility and effectiveness in real-time applications. The authors provide a comprehensive analysis of the Delta Quaternion Extended Kalman Filter and the Multiple Model Delta Quaternion Filter, highlighting their potential to improve tracking accuracy in dynamic settings.

In the latter part of Latency and Distortion of Electromagnetic Trackers for Augmented Reality Systems, the focus shifts to calibration techniques for AC magnetic trackers. The authors present a simplified calibration system that utilizes basic fixtures and multiple sensors to map the magnetic field generated by the trackers. This innovative approach allows for the compensation of distorted measurement data without the need for expensive precision equipment, making it accessible for a wider range of applications. The conclusion synthesizes the findings and discusses future directions for research in this vital area of AR technology.