Telescope-Style Motion Interface System for Interaction with Virtual Environment

Article Preview

Abstract:

Motion tracking has shown promise as a powerful technique to improve interaction function in Virtual Reality (VR).Users can interact naturally with virtual environment by using body motion as the interface. This paper presents a design of a telescope-style interaction system combined with an inertial/magnetic motion tracking unit for users’ interacting with the virtual environment and a near-to-eye display system supplying visual virtual environment to users. Since the movement acceleration will cause the error of accelerometer measurement, users will feel uncomfortable and cannot interact well with the virtual environment because of pictures’ jitter. To enhance the user's immersion in the virtual environment, a Kalman filter is designed to ensure the accuracy of users’ motion information. Performance of the estimation’s precision is shown in the experiments and results.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

148-152

Citation:

Online since:

March 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. van der Geer, J.A.J. Hanraads, R.A. Lupton, The art of writing a scientific article, J. Sci. Commun. 163 (2000) 51-59.

Google Scholar

[2] M. Pölönen, T. Järvenpää, J. Häkkinen, Comparison of Near-To-Eye Displays: Subjective Experience and Comfort, Journal of Display Technology, VOL. 6, NO. 1, January 2010.

Google Scholar

[3] C. DEDE, Immersive Interfaces for Engagement and Learning, SCIENCE, VOL.323, PP. 66–68, 2009.

Google Scholar

[4] Yingzhu Li, Shark L.-K., Hobbs, S.J., Ingham, J., Real-Time Immersive Table Tennis Game for Two Players with Motion Tracking, Information Visualization , 26-29 July 2010.

DOI: 10.1109/iv.2010.97

Google Scholar

[5] Saad E.W., Caudell T.P., Wunsch D.C. II, Predictive Head Tracking for Virtual Reality, Neural Networks, International Joint Conference , July 1999.

DOI: 10.1109/ijcnn.1999.830785

Google Scholar

[6] Yujin Jung, Donghoon Kang, Jinwook Kim, Upper Body Motion Tracking with Inertial Sensors, In International Conference on Robotics and Biomimetics, Korea Institute of Science and Technology, December 14-18, 2010.

DOI: 10.1109/robio.2010.5723595

Google Scholar

[7] Martin, P., Salaun, E., Invariant Observers for Attitude and Heading Estimation from Low-Cost Inertial and Magnetic Sensors, Decision and Control, 12-14 DEC. 2007.

DOI: 10.1109/cdc.2007.4435006

Google Scholar

[8] R. Slyper, J. Hodgins. Action Capture with Accelerometers, In ACM SIGGRAPH/Eurographics, SCA, 2008.

Google Scholar

[9] Roetenberg, H. Luinge, P. Slyke., XSENS MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensor. 2008.

Google Scholar

[10] Greg Welch and Gary Bishop, An Introduction to Kalman Filter, Technical Report, TR 95-041, DEPT. of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, 1997.

DOI: 10.22462/01.03.2021.8

Google Scholar