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IJAT Vol.8 No.3 pp. 376-387
doi: 10.20965/ijat.2014.p0376
(2014)

Paper:

Hand Modeling and Motion Reconstruction for Individuals

Yui Endo, Mitsunori Tada, and Masaaki Mochimaru

National Institute of Advanced Industrial Science and Technology, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan

Received:
December 1, 2013
Accepted:
February 20, 2014
Published:
May 5, 2014
Keywords:
digital human modeling, digital hand model, motion capture, joint center estimation, motion reconstruction
Abstract

In this paper, we propose a new method of reconstructing hand models for individuals including link structure models, homologous skin surface models and homologous tetrahedral mesh models in a reference posture. The skin surface model is defined as a threedimensional triangularmesh, obtained by deforming a template mesh so as to fit the landmark vertices to the corresponding marker positions obtained by a motion capture system. In this process, anatomical dimensions for the subject, manually measured by a caliper, are also used as the deformation constraints. As for the link structure model, the local coordinate system related to each link consists of the joint rotation center and the axes of joint rotation, which can be estimated based on the deformation of the skin surface of the template model relative to the one of the individual. By using obtained individual hand model, hand postures in a motion sequence are also reconstructed based on the landmark points and the corresponding marker positions obtained from the motion capture system. Virtual spring-damper models located between the landmarks and the markers are used in physically-based simulation for the posture reconstruction.

Cite this article as:
Y. Endo, M. Tada, and M. Mochimaru, “Hand Modeling and Motion Reconstruction for Individuals,” Int. J. Automation Technol., Vol.8, No.3, pp. 376-387, 2014.
Data files:
References
  1. [1] Y. Endo, S. Kanai, T. Kishinami, N. Miyata, M. Kouchi, and M. Mochimaru, “A development of an ergonomic assessment system by integrating a digital hand with a product model (1st report): a function of virtually evaluating grasp stability for products,” J. of the Japan Society for Precision Engineering, Vol.74, No.2, pp. 182-187, 2008.
  2. [2] Y. Endo, S. Kanai, N. Miyata, M. Kouchi, and M. Mochimaru, “A development of an ergonomic assessment system by integrating a digital hand with a product model (2nd report): a function of grasp stability evaluation and an optimization method for a grasp posture,” J. of the Japan Society for Precision Engineering, Vol.75, No.4, pp. 548-553, 2009.
  3. [3] Y. Endo, S. Kanai, N. Miyata, M. Kouchi, M. Masaaki, J. Konno, M. Ogasawara, and M. Shimozawa, “Optimization-Based Grasp Posture Generation Method of Digital Hand for Virtual Ergonomics Assessment,” SAE Int. J. of passenger cars-electronic and electrical systems, Vol.1, No.1, pp. 590-598, 2009.
  4. [4] K. Kawaguchi, Y. Endo, and S. Kanai, “Database-Driven Grasp Synthesis and Ergonomic Assessment for Handheld Product Design,” Proc. of HCI Int. Conf. 2009, pp. 642-652, 2009.
  5. [5] Y. Endo, N. Miyata, M. Kouchi, M. Mochimaru, and S. Kanai, “Physically-based grasp posture generation for virtual ergonomic assessment using digital hand,” Advances in Applied Digital Human Modeling, CRC Press, pp. 166-175, 2010.
  6. [6] Y. Endo, N. Miyata, M. Tada, M. Kouchi, and M. Mochimaru, “Reconstruction of Skin Surface Models for Individual Subjects,” Advances in Applied Digital Human Modeling and Simulation, CRC Press, pp. 392-400, 2012.
  7. [7] Y. Endo, M. Tada, and M. Mochimaru, “Reconstructing Individual Hand Models from Motion Capture Data,” J. of Computational Design and Engineering, Vol.1, No.1, pp. 1-12, 2014.
  8. [8] I. Albrecht, J. Haber, and H. P. Seidel, “Construction and animation of anatomically based human hand models,” Proc. of the 2003 ACM SIGGRAPH/Eurographics Symp. on Computer Animation, pp. 98-109, 2003.
  9. [9] T. Kurihara and N. Miyata, “Modeling deformable human hands from medical images,” Proc. of the 2004 ACM SIGGRAPH/Eurographics Symp. on Computer Animation, pp. 355-363, 2004.
  10. [10] H. Huang, L. Zhao, K. K. Yin, Y. Qi, Y. Yu, and X. Tong, “Controllable hand deformation from sparse examples with rich details,” Proc. of the 2011 ACM SIGGRAPH/Eurographics Symp. on Computer Animation, pp. 73-82, 2011.
  11. [11] N. Miyata, Y. Shimizu, Y. Motoki, Y. Maeda, and M. Mochimaru, “Hand MoCap by Building Individual Skeleton and Surface Model,” Proc. of IEA Digital Human Modeling 2011, Paper ID 2180, 2011.
  12. [12] I. Oikonomidis, N. Kyriazis, and A. Argyros, “Efficient modelbased 3D tracking of hand articulations using Kinect,” Proc. of the British Machine Vision Conference, pp. 101.1-101.11, 2011.
  13. [13] M. Kouchi, N. Miyata, and M. Mochimaru, “An analysis of hand measurements for obtaining representative Japanese hand models,” Proc. of the 8th Annual Digital Human Modeling for Design and Engineering Symp., 2005-01-2734 (CD-ROM), 2005.
  14. [14] R. W. Sumner, “Deformation Transfer for Triangle Meshes,” ACM Trans. on Graphics, Vol.23, No.3, pp. 399-405, 2004.
  15. [15] B. K. P Horn, “Closed-form solution of absolute orientation using unit quaternions,” Optical Society of America, Vol.4, No.4, pp. 629-642, 1987.
  16. [16] M. Garland and P. S. Heckbert, “Surface Simplification Using Quadric Error Metrics,” Proc. of the 24th annual conf. on Computer graphics and interactive techniques (ACM SIGGRAPH 97), pp. 209-216, 1997.
  17. [17] N. M.-Thalmann and D. Thalmann, “Human body deformations using joint-dependent local operators and finite element theory. In making them move: mechanics, control, and animation of articulated figures,” Morgan Kaufmann, pp. 243-262, 1991.
  18. [18] I. Baran and J. Popović, “Automatic rigging and animation of 3D characters,” ACM Trans. on Graphics, Vol.26, No.3, pp. 72:1-72:8, 2007.
  19. [19] PhysXViewer, http://codesuppository.blogspot.jp/2006/08/physxviewer.html, 2013. [accessed Dec. 1, 2013]
  20. [20] Bullet, http://bulletphysics.org/wordpress/, 2013. [accessed Dec. 1, 2013]

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