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

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.

[1]  Yasuo Okazaki,et al.  Wireless magnetic motion capture system using multiple LC resonant magnetic markers with high accuracy , 2008 .

[2]  Zou Jin Correction of Errors at Large-angle Area for Six-stance Magnetic Position and Orientation Tracking System , 2004 .

[3]  Yoshifumi Kitamura,et al.  IM6D: magnetic tracking system with 6-DOF passive markers for dexterous 3D interaction and motion , 2015, ACM Trans. Graph..

[4]  J. Denavit,et al.  A kinematic notation for lower pair mechanisms based on matrices , 1955 .

[5]  Tom G. Zimmerman,et al.  A hand gesture interface device , 1987, CHI '87.

[6]  Andrew W. Fitzgibbon,et al.  Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.

[7]  Axel Pinz,et al.  A new optical tracking system for virtual and augmented reality applications , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[8]  Tieniu Tan,et al.  Kinematics-based tracking of human walking in monocular video sequences , 2004, Image Vis. Comput..

[9]  Michael Harrington,et al.  Constellation: a wide-range wireless motion-tracking system for augmented reality and virtual set applications , 1998, SIGGRAPH.

[10]  Ivan E. Sutherland,et al.  A head-mounted three dimensional display , 1968, AFIPS Fall Joint Computing Conference.

[11]  Yoshifumi Kitamura,et al.  IM3D: magnetic motion tracking system for dexterous 3D interactions , 2014, SIGGRAPH '14.

[12]  F. Raab,et al.  Magnetic Position and Orientation Tracking System , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[13]  T. A. Hearson Kinematics of Machines , 1903, Nature.

[14]  Qionghai Dai,et al.  Video-based hand manipulation capture through composite motion control , 2013, ACM Trans. Graph..

[15]  Jovan Popovic,et al.  Real-time hand-tracking with a color glove , 2009, SIGGRAPH '09.