IM6D: Magnetic tracking system with 6-DOF passive markers for dexterous 3D interaction and motion

ACM Transactions on Graphics

Volumn 34, Issue 6, 2015, Pages

  Huang, Jiawei ^a   Mori, Tsuyoshi ^a   Takashima, Kazuki ^a   Hashi, Shuichiro ^a   Kitamura, Yoshifumi ^a  

^a TOHOKU UNIVERSITY   (Japan)

Author keywords

3D user interface; Augmented reality; Motion capture; Sensor; Virtual reality

Indexed keywords

AUGMENTED REALITY; ELECTROMAGNETIC INDUCTION; MOTION ANALYSIS; MOTION COMPENSATION; SENSORS; USER INTERFACES; VIRTUAL REALITY;

3D INTERACTIONS; 3D USER INTERFACE; ELECTROMAGNETIC INDUCTION PRINCIPLE; MAGNETIC TRACKING SYSTEMS; MOTION CAPTURE; MOTION TRACKING SYSTEM; PARALLEL COMPUTATION; REASONABLE ACCURACY;

TRACKING (POSITION);

EID: 84996490694     PISSN: 07300301     EISSN: 15577368     Source Type: Journal    
DOI: 10.1145/2816795.2818135     Document Type: Article

References (36)

1. 5DT. http://www.5dt.com/.
2. ASCENSION. http://www.ascension-tech.com/.
3. CHAN, L., LIANG, R.-H., TSAI, M.-C., CHENG, K.-Y., SU, C.- H., CHEN, M. Y., CHENG, W.-H., AND CHEN, B.-Y. 2013. Fingerpad: Private and subtle interaction using fingertips. In Proceedings of the Symposium on User Interface Software and Technology, ACM, 255-260.
4. CHEN, K.-Y., LYONS, K., WHITE, S., AND PATEL, S. 2013. utrack: 3D input using two magnetic sensors. In Proceedings of the Symposium on User Interface Software and Technology, ACM, 237-244.
5. CYBERGLOVE. http://www.cyberglovesystems.com/.
6. DANIEL VLASIC, ROLF ADELSBERGER, G. V. J. B. M. G. W. M., AND POPOVIC, J. 2007. Practical motion capture in everyday surroundings. In Proceedings of SIGGRAPH, 1932-1936.
7. FOXLIN, E., AND DURLACH, N. 1994. An inertial headorientation tracker with automatic drift compensation for use with hmd's. In Proceedings of the Symposium on Virtual Reality Software and Technology, ACM, 159-174.
8. 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.
9. GROSSMAN, T., WIGDOR, D., AND BALAKRISHNAN, R. 2004. Multi-Enger gestural interaction with 3D volumetric displays. In Proceedings of the Symposium on User Interface Software and Technology, ACM, 61-70.
10. HARRISON, C., AND HUDSON, S. E. 2009. Abracadabra: Wireless, high-precision, and unpowered finger input for very small mobile devices. In Proceedings of the Symposium on User Interface Software and Technology, ACM, 121-124.
11. 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.
12. HASHI, S., YABUKAMI, S., KANETAKA, H., ISHIYAMA, K., AND ARAI, K.-I. 2009. Numerical study on the improvement of detection accuracy for a wireless motion capture system. IEEE Transactions on Magnetics, 45, 6 (June), 2736-2739.
13. HILLIGES, O., D. KIM, S. I., WEISS, M., AND WILSON, A. 2012. Holodesk: direct 3D interactions with a situated seethrough display. In Proceedings of the Conference on Human Factors in Computing Systems, ACM, 2421-2430.
14. HUANG, J., TAKASHIMA, K., HASHI, S., AND KITAMURA, Y. 2014. IM3D: Magnetic motion tracking system for dexterous 3D interactions. In SIGGRAPH Emerging Technologies, 12:1.
15. NAKAGAWA, T., AND KOYANAGI, Y. 1982. Experimental Data Analysis by the Least Square Method. The University of Tokyo Press.
16. PARADISO, J. A., PARDUE, L. S., HSIAO, K.-Y., AND BENBASAT, A. Y. 2003. Electromagnetic tagging for electronic music interfaces. Journal of New Music Research 32, 395-409.
17. POLHEMUS. http://polhemus.com/.
18. 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.
19. 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.
20. SANDILANDS, P., CHOI, M., AND KOMURA, T. 2012. Capturing close interactions with objects using a magnetic motion capture system and a rgbd sensor. In Motion in Games, M. Kallmann and K. Bekris, Eds., vol. 7660 of Lecture Notes in Computer Science. Springer Berlin Heidelberg, 220-231.
21. SHARP, T., KESKIN, C., ROBERTSON, D., TAYLOR, J., SHOTTON, J., KIM, D., RHEMANN, C., LEICHTER, I., VINNIKOV, A., WEI, Y., FREEDMAN, D., KOHLI, P., KRUPKA, E., FITZGIBBON, A., AND IZADI, S. 2015. Accurate, robust, and flexible real-time hand tracking. In Proceedings of the Conference on Human Factors in Computing Systems, ACM, 3633-3642.
22. SHIRATORI, T., PARK, H. S., SIGAL, L., SHEIKH, Y., AND HODGINS, J. K. 2011. Motion capture from body-mounted cameras. ACM Transaction on Graphics. 30, 4 (July), 31:1-31:10.
23. 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 the IEEE Conference on Computer Vision and Pattern Recognition, 1297-1304.
24. SONG, P., YU, H., AND WINKLER, S. 2008. Vision-based 3D finger interactions for mixed reality games with physics simulation. In Proceedings of ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, 7:1-7:6.
25. SUTHERLAND, I. 1968. A head-mounted three dimensional display. In Proceedings of Fall Joint Computer Conference, 1, 757-764.
26. TANG, D., YU, T.-H., AND KIM, T.-K. 2013. Real-time articulated hand pose estimation using semi-supervised transductive regression forests. In Proceedings of IEEE International Conference on Computer Vision, 3224-3231.
27. TOMPSON, J., STEIN, M., LECUN, Y., AND PERLIN, K. 2014. Real-time continuous pose recovery of human hands using convolutional networks. ACM Transaction on Graphics, 33, 5 (Sept.), 169:1-169:10.
28. VIRTUAL REALITIES. http://www.vrealities.com/.
29. WANG, Y., AND NEFF, M. 2013. Data-driven glove calibration for hand motion capture. In Proceedings of the Symposium on Computer Animation, ACM, 15-24.
30. WANG, R. Y., AND POPOVIC, J. 2009. Real-time hand-tracking with a color glove. ACM Transactions on Graphics, 28, 63 (Aug.), 63:1-63:8.
31. 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 Transactions on Graphics, 43, 32 (July), 43:1-43:13.
32. YABUKAMI, S., HASHI, S., TOKUNAGA, Y., ARAI, K., AND OKAZAKI, Y. 2004. Development of a position-sensing system for a wireless magnetic marker. Journal of the Magnetics Society of Japan 28, 877-885 (in Japanese).
33. YABUKAMI, S., OGASAWARA, K., SAITOH, H., HASHI, S., TOYODA, M., OKAZAKI, Y., AND ARAI, K. 2007. Development of a fingertip position-sensing system using LC resonated markers. Journal of the Magnetics Society of Japan 31, 439-444 (in Japanese).
34. ZHANG, P., SIU, K., ZHANG, J., LIU, C. K., AND CHAI, J. 2014. Leveraging depth cameras and wearable pressure sensors for full-body kinematics and dynamics capture. ACM Transaction on Graphics, 33, 6 (Nov.), 221:1-221:14.
35. ZHAO, W., CHAI, J., AND XU, Y.-Q. 2012. Combining markerbased mocap and rgb-d camera for acquiring high-fidelity hand motion data. In Proceedings of the SIGGRAPH/Eurographics Symposium on Computer Animation, 33-42.
36. 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, ACM, 189-192.