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6-DOF computation and marker design for magnetic 3D dexterous motion-tracking system

Published:02 November 2016Publication History

ABSTRACT

We describe our approach that derives reliable 6-DOF information including the translation and the rotation of a rigid marker in a 3D space from a set of insufficient 5-DOF measurements. As a practical example, we carefully constructed a prototype and its design and evaluated it in our 3D dexterous motion-tracking system, IM6D, which is our novel real-time magnetic 3D motion-tracking system that uses multiple identifiable, tiny, lightweight, wireless, and occlusion-free markers. The system contains two key technologies; a 6-DOF computation algorithm and a marker design for 6D marker. The 6-DOF computation algorithm computes the result of complete 6-DOF information including translation and rotation in 3D space for a single rigid marker that consists of three LC coils. We propose several possible approaches for implementation, including geometric, matrix-based kinematics, and computational approaches. In addition, we introduce workflow to find an optimal marker design for the system to achieve the best compromise between its smallness and accuracy based on the tracking principle. We experimentally compare the performances of some typical marker prototypes with different layouts of LC coils. Finally, we also show another experimental result to prove the effectiveness of the results from the solutions in these two problems.

References

  1. Ascension. http://www.ascension-tech.com/.Google ScholarGoogle Scholar
  2. Denavit, J. 1955. A kinematic notation for lower-pair mechanisms based on matrices. Trans. of the ASME. Journal of Applied Mechanics 22, 215--221.Google ScholarGoogle ScholarCross RefCross Ref
  3. Foxlin, E., Harrington, M., and Pfeifer, G. 1998. Constellation: a wide-range wireless motion-tracking system for augmented reality and virtual set applications. In Proceedings of SIGGRAPH, 371--378. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Hashi, S., Toyoda, M., Yabukami, S., Ishiyama, K., Okazaki, Y., Arai, K. I., and Kanetaka, H. 2008. Wireless magnetic motion capture system using multiple LC resonant magnetic markers with high accuracy. Sensors and Actuators A: Physical 142, 2, 520--527.Google ScholarGoogle ScholarCross RefCross Ref
  5. Hinkle, R. T. 1953. Kinematics of Machines. Prentice-Hall Inc.Google ScholarGoogle Scholar
  6. Huang, J., Takashima, K., Hashi, S., and Kitamura, Y. 2014. IM3D: Magnetic Motion Tracking System for Dexterous 3D Interactions. In ACM SIGGRAPH 2014 Emerging Technologies, ACM, New York, NY, USA, 12:1--12:1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Huang, J., Mori, T., Takashima, K., Hashi, S., and Kitamura, Y. 2015. IM6D: Magnetic Tracking System with 6-DOF Passive Markers for Dexterous 3D Interaction and Motion. ACM Trans. Graph. 34, 6 (Oct.), 217:1--217:10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Nakagawa, T., and Koyanagi, Y. 1982. Experimental Data Analysis by the Least Square Method. The University of Tokyo Press.Google ScholarGoogle Scholar
  9. Ning, H., Tan, T., Wang, L., and Hu, W. 2004. Kinematics-based tracking of human walking in monocular video sequences. Image and Vision Computing 22, 5, 429 -- 441.Google ScholarGoogle ScholarCross RefCross Ref
  10. Polhemus. http://polhemus.com/.Google ScholarGoogle Scholar
  11. Raab, F., Blood, E., Steiner, T., and Jones, H. 1979. Magnetic position and orientation tracking system. IEEE Transactions on Aerospace and Electronic Systems AES-15, 5 (Sept.), 709--718.Google ScholarGoogle ScholarCross RefCross Ref
  12. Ribo, M., Pinz, A., and Fuhrmann, A. L. 2001. A new optical tracking system for virtual and augmented reality applications. In Proceedings of the IEEE Instrumentation and Measurement Technology Conference, 1932--1936.Google ScholarGoogle Scholar
  13. Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., and Blake, A. 2011. Real-time human pose recognition in parts from single depth images. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), 1297--1304. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Sutherland, I. 1968. A head-mounted three dimensional display. In Proceedings of 1968 Fall Joint Computer Conference, vol. 33, 757--764. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Wang, R. Y., and Popović, J. 2009. Real-time hand-tracking with a color glove. ACM Trans. Graph. 28, 3 (July), 63:1--63:8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Wang, Y., Min, J., Zhang, J., Liu, Y., Xu, F., Dai, Q., and Chai, J. 2013. Video-based hand manipulation capture through composite motion control. ACM Trans. Graph. 32, 4 (July), 43:1--43:14. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Zimmerman, T. G., Lanier, J., Blanchard, C., Bryson, S., and Harvill, Y. 1987. A hand gesture interface device. In Proceedings of the Conference on Human Factors in Computing Systems and Graphics Interface, 189--192. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Conferences
        VRST '16: Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology
        November 2016
        363 pages
        ISBN:9781450344913
        DOI:10.1145/2993369

        Copyright © 2016 ACM

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        Publication History

        • Published: 2 November 2016

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