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Latency and distortion of electromag...

Himberg, Henry,

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Latency and distortion of electromagnetic trackers for augmented reality systems. /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Latency and distortion of electromagnetic trackers for augmented reality systems. // Henry Himberg, Yuichi Motai.
Author:	Himberg, Henry,
other author:	Motai, Yuichi,
Published:	San Rafael, CA :Morgan & Claypool Publishers, : 2014.,
Description:	1 online resource (191 pages)
[NT 15003449]:	Latency and distortion of electromagnetic trackers for augmented reality systems -- Synthesis Lectures on Algorithms and Software in Engineering -- Abstract; Keywords -- Contents -- List of Tables -- Preface -- Acknowledgments -- Chapter 1: Delta Quaternion Extended Kalman Filter -- Chapter 2: Multiple Model Delta Quaternion Filter -- Chapter 3: Interpolation Volume Calibration -- Chapter 4: Conclusion -- Appendix A: The Delta Quaternion Extended Kalman Filter (DQEKF) -- Appendix B: Multiple Model Delta Quaternion Filter (MMDQ) -- Appendix C: Interpolation Volume Calibration (IVC) -- Appendix D: MatLab Library -- References -- Authors' Biographies
Subject:	Augmented reality -
Online resource:	http://portal.igpublish.com/iglibrary/search/MCPB0000673.html

Latency and distortion of electromagnetic trackers for augmented reality systems. /
Himberg, Henry,

Latency and distortion of electromagnetic trackers for augmented reality systems. /Henry Himberg, Yuichi Motai. - San Rafael, CA :Morgan & Claypool Publishers,2014. - 1 online resource (191 pages) - Synthesis lectures on algorithms and software in engineering, 121938-1735 ;.

Includes bibliographical references

Latency and distortion of electromagnetic trackers for augmented reality systems -- Synthesis Lectures on Algorithms and Software in Engineering -- Abstract; Keywords -- Contents -- List of Tables -- Preface -- Acknowledgments -- Chapter 1: Delta Quaternion Extended Kalman Filter -- Chapter 2: Multiple Model Delta Quaternion Filter -- Chapter 3: Interpolation Volume Calibration -- Chapter 4: Conclusion -- Appendix A: The Delta Quaternion Extended Kalman Filter (DQEKF) -- Appendix B: Multiple Model Delta Quaternion Filter (MMDQ) -- Appendix C: Interpolation Volume Calibration (IVC) -- Appendix D: MatLab Library -- References -- Authors' Biographies

Augmented reality (AR) systems are often used to superimpose virtual objects or information on a scene to improve situational awareness. Delays in the display system or inaccurate registration of objects destroy the sense of immersion a user experiences when using AR systems. AC electromagnetic trackers are ideal for these applications when combined with head orientation prediction to compensate for display system delays. Unfortunately, these trackers do not perform well in environments that contain conductive or ferrous materials due to magnetic field distortion without expensive calibration techniques. In our work we focus on both the prediction and distortion compensation aspects of this application, developing a small footprint predictive filter for display lag compensation and a simplified calibration system for AC magnetic trackers. Subjects--Topical Terms:

1244228
Augmented reality

LC Class. No.: QA76.9.A94 / H555 2014

Dewey Class. No.: 006.8

Latency and distortion of electromagnetic trackers for augmented reality systems. /
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505 0 $a Latency and distortion of electromagnetic trackers for augmented reality systems -- Synthesis Lectures on Algorithms and Software in Engineering -- Abstract; Keywords -- Contents -- List of Tables -- Preface -- Acknowledgments -- Chapter 1: Delta Quaternion Extended Kalman Filter -- Chapter 2: Multiple Model Delta Quaternion Filter -- Chapter 3: Interpolation Volume Calibration -- Chapter 4: Conclusion -- Appendix A: The Delta Quaternion Extended Kalman Filter (DQEKF) -- Appendix B: Multiple Model Delta Quaternion Filter (MMDQ) -- Appendix C: Interpolation Volume Calibration (IVC) -- Appendix D: MatLab Library -- References -- Authors' Biographies
520 3 $a Augmented reality (AR) systems are often used to superimpose virtual objects or information on a scene to improve situational awareness. Delays in the display system or inaccurate registration of objects destroy the sense of immersion a user experiences when using AR systems. AC electromagnetic trackers are ideal for these applications when combined with head orientation prediction to compensate for display system delays. Unfortunately, these trackers do not perform well in environments that contain conductive or ferrous materials due to magnetic field distortion without expensive calibration techniques. In our work we focus on both the prediction and distortion compensation aspects of this application, developing a small footprint predictive filter for display lag compensation and a simplified calibration system for AC magnetic trackers.
520 3 $a In the first phase of our study we presented a novel method of tracking angular head velocity from quaternion orientation using an Extended Kalman Filter in both single model (DQEKF) and multiple model (MMDQ) implementations. In the second phase of our work we have developed a new method of mapping the magnetic field generated by the tracker without high precision measurement equipment. This method uses simple fixtures with multiple sensors in a rigid geometry to collect magnetic field data in the tracking volume. We have developed a new algorithm to process the collected data and generate a map of the magnetic field distortion that can be used to compensate distorted measurement data.
650 0 $a Augmented reality $3 1244228
650 0 $a Tracking (Engineering) $3 2192932
650 0 $a Kalman filtering $3 1535955
700 1 $a Motai, Yuichi, $e author. $3 2208452
856 4 0 $u http://portal.igpublish.com/iglibrary/search/MCPB0000673.html