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Trajectory based Recovery of Index Finger Articulated Pose during Palmar Grasp

by Avik Chatterjee, A. Mahapatra, S. Majumder, I. Basak
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 14
Year of Publication: 2012
Authors: Avik Chatterjee, A. Mahapatra, S. Majumder, I. Basak
10.5120/7693-1021

Avik Chatterjee, A. Mahapatra, S. Majumder, I. Basak . Trajectory based Recovery of Index Finger Articulated Pose during Palmar Grasp. International Journal of Computer Applications. 49, 14 ( July 2012), 6-12. DOI=10.5120/7693-1021

@article{ 10.5120/7693-1021,
author = { Avik Chatterjee, A. Mahapatra, S. Majumder, I. Basak },
title = { Trajectory based Recovery of Index Finger Articulated Pose during Palmar Grasp },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 14 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number14/7693-1021/ },
doi = { 10.5120/7693-1021 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:46:14.232864+05:30
%A Avik Chatterjee
%A A. Mahapatra
%A S. Majumder
%A I. Basak
%T Trajectory based Recovery of Index Finger Articulated Pose during Palmar Grasp
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 14
%P 6-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes our experimental and analytical study of recovering index finger pose from tip trajectory during palmar grasp. Our study experimentally evaluates a kinematical model that can be used to reduce the number of surface markers in each finger for motion estimation and its segmental kinematics. We captured the trajectory of the index finger tip and joint angles in typical fist closing mode (palmar grasp), based on the concept of planar homology in projective space and then investigated the inverse kinematics solutions for the correlation. Jacobian based Damped Least Square (DLS) with variable damping parameter ? has been implemented. The DLS method, though iterative, shows reasonably fast convergence with in 3-10 iterations in feed forward mode and has better concurrence with the experimental values in recovery of articulated pose.

References
  1. J. Lee and T. L. Kunii. 1993. Constrained Based Hand Animation. Models and Techniques in Computer Animation. Springer. Tokyo. pp 110-127.
  2. John Lin, Ying Wu and Thomas S. Huang. 2000. Modeling the constraints of human hand motion, Proceedings of Workshop on Human Motion, ISBN: 0-7695-0939-8, pp-121 – 126.
  3. S. Chen, Y. Li, and N. M. Kwok, 2011. Active vision in robotic systems: a survey of recent developments, International Journal of Robotics Research, vol. 30, no. 11, pp. 1343–1377.
  4. C. B. Phillips, J. Zhao, N. I. Badler. 1990. Interactive real-time articulated figure manipulation using multiple kinematic constraints. Proceedings of the ACM SIGGRAPH. pp 245-250.
  5. Michael Isard and Andrew Blake. 1998. CONDENSATION—conditional density propagation for visual tracking. International Journal of Computer Vision, 29:5–28,
  6. Y. Wu, John Lin, and T. S. Huang. 2001. Capturing natural hand articulation. In Proc. of International Conference on Computer Vision, pp: 426–432. Vancouver.
  7. B. Stenger, A. Thayananthan, P. H. S. Torr, R. Cipolla. 2006. Model-based hand tracking using a hierarchical Bayesian filter. IEEE transactions on pattern analysis and machine intelligence. 28(9):1372-1384.
  8. B. Stenger. 2006. Template based Hand Pose recognition using multiple cues. Proc. 7th Asian Conference on Computer Vision: ACCV 2006. pp: 551-560. Hyderabad. India
  9. V. Athitsos and S. Sclaroff. 2003. Estimating 3D Hand Pose from a Cluttered Image. Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. II, pp. 432-439.
  10. P. Cerveri, E. De- momi, N. Lopomo, G. Baud-bovy, R. M. L. Barros, and G. Ferrigno. 2002. Finger Kinematic Modeling and Real-Time Hand Motion Estimation, Annals of Biomedical Engineering, Vol. 35(11): 1989–2002.
  11. www. infovisual. info/03/ /027_en. html.
  12. C. W. Wampler and L. J. Leifer. 1998. Applications of damped least-squares methods to resolved-rate and resolved-acceleration control of manipulators, Journal of Dynamic Systems, Measurement and Control. 110: 31-38.
  13. Y. Nakamura and H. Hanafusa. 1986. Inverse kinematics solutions with singularity robustness for robot manipulator control. Journal of Dynamic Systems, Measurement, and Control. vol 108 , pp 163-171.
  14. Samuel R. Buss and Jin-Su Kim. 2005. Selectively Damped Least Squares for Inverse Kinematics. Journal of Graphics Tools. vol 10(3), pp 37-49.
  15. F. Devernay and O. Faugeras, 1995, Automatic calibration and removal of distortion from scenes of structured environments, In SPIE San Diego, CA, 1995, vol 2567.
  16. A. Criminisi, I. Reid and A. Zisserman, 2000, Single view metrology, IJCV, vol 40(2), pp: 123-148.
Index Terms

Computer Science
Information Sciences

Keywords

Index Finger Damped Least Square (DLS) Jacobian Planar Homology Inverse Kinematics

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