Skip to main content
SpringerLink
Log in

A scalable model-based hand posture analysis system

  • Published:
Machine Vision and Applications Aims and scope Submit manuscript

Abstract.

Model-based hand posture analysis systems fall into two categories: hand without markers and hand with markers methods. The hand model fitting method proposed in this paper belongs to the second category. However, the main problems that make conventional marker-based hand posture analysis systems inapplicable are their inefficient calculation of the inverse kinematics, their inability to scale the size of the hand model, and their inability to analyze hand posture when some markers are occluded. In this paper, a scalable hand posture analysis system is proposed to overcome these problems. The proposed system consists of three new techniques: (1) the generation of scalable inverse kinematics solutions for the finger-positioning process, (2) a scale calibration process for the 3D hand model, and (3) a 3D marker position prediction method for occluded markers. The experimental results illustrate that the scalable hand posture analysis system outperforms conventional marker-based hand posture analysis systems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Shimada N, Shirai Y, Kuno Y, Miura J (1998) Hand gesture estimation and model refinement using monocular camera - ambiguity limitation by inequality constraints. In: Proc. 3rd international conference on automatic face and gesture recognition, pp 268-273

  2. Shimada N, Shirai Y, Kuno Y (2000) Model adaptation and posture estimation of moving articulated objects using monocular camera. In: Proc. international workshop on articulated motion and deformable objects, pp 159-172

  3. Wang F, Ngo CW, Pong TC (2004) Gesture tracking and recognition for lecture video editing. In: Proc. 17th ICPR, 3:934-937

  4. Sturman DJ, Zeltzer D (1994) A survey of glove-based input. IEEE Comput Graph Appl 14(1):30-39

    Google Scholar 

  5. Chen FS, Fu CM, Huang CL(2003) Hand gesture recognition using a real-time tracking method and hidden Markov models. Image Vis Comput 21:745-758

    Google Scholar 

  6. Darrell TJ, Pentland AP (1993) Recognition of space-time gestures using a distributed representation. MIT media laboratory vision and modeling group technical report, No. 197

  7. Cui Y, Weng JJ (1996) Hand sign recognition from intensity image sequences with complex backgrounds. In: IEEE Proc. 2nd international conference on automatic face and gesture recognition, Killington, VT, October 1996, pp 259-264

  8. Rehg JM, Kanade T (1994) Digiteyes: vision-based hand tracking for human-computer interaction. In: IEEE workshop on motion of non-rigid and articulated objects, Austin, TX, November 1994, pp 16-22

  9. Rehg JM, Kanade T (1994) Visual tracking of high DOF articulated structures: an application to human tracking. In: Eklundh J-O (ed) Proc. 3rd European conference on computer vision, Sweden, May 1994. Lecture notes in computer science, vol 801. Springer, Berlin Heidelberg New York, 2:35-46

  10. Kuch JJ, Huang TS (1995) Vision based hand modeling and tracking for virtual teleconference and telecollaboration. In: Proc. ICCV, Cambridge, MA, June 1995, pp 666-671

  11. Heap T, Hogg D (1996) Towards 3D tracking using deformable model. In: Proc. 2nd IEEE international conference on automatic face and gesture recognition, Killington, VT, October 1996, pp 140-145

  12. Lee J, Kunii TL (1995) Model-based analysis of hand posture. IEEE computer Graph Appl 15(5):77-86

    Google Scholar 

  13. Lee J, Kunii TL (1993) Constraint-based hand animation. In: Magnenat Thalmann N, Thalmann D (eds) Models and techniques in computer animation world (Proc. Computer Animation 93). Springer, Berlin Heidelberg New York, pp 110-127

  14. Dorner B (1993) Hand shape identification and tracking for sign language interpretation. In: Looking at People Workshop, Chambery, France

  15. Rijpkema H, Girard M (1991) Computer animation of knowledge-based human grasping. In: Computer Graphics (Proc. SIGGRAPH) 25(4):339-347

  16. Koivo AJ (1989) Fundamentals for control of robotics manipulators. Wiley, Chichester, UK

  17. Lancaster P, Salkauskas K (1986) Curve and surface fitting. Academic, London

  18. Badler NI, Manoochehri KH, Walters G (1987) Articulated finger positioning by multiple constraints. IEEE Comput Graph Application 7(6):28-38

    Google Scholar 

  19. Thomopoulos SCA, TAM RYJ (1991) An interactive solution to the inverse kinematics of robotics manipulators. Mech Mach Theory 26(4):359-373

    Google Scholar 

  20. Michalewicz Z (1992) Genetic algorithms + data structures = evolution programs. Springer, Berlin Heidelberg New York

  21. Lien CC, Huang CL (1999) The model-based dynamic hand posture identification using genetic algorithm. J Mach Vis Appl 11:107-121

    Google Scholar 

  22. Shih SW, Hung YP, Lin WS (1996) Calibration of an active binocular head. In: Chou IC (eds) Proc. IPPR conference on computer vision, graphics, and image processing, Tai-Chung, Taiwan, pp 411-418

  23. Huang CL, Wu CH (1992) Dynamic scene analysis using path and shape coherence constraint. Pattern Recog 25(5):445-461

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science and Information Engineering, Chung Hua University, 300, Hsin Chu, Taiwan, R.O.C

    Cheng-Chang Lien

Authors
  1. Cheng-Chang Lien
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cheng-Chang Lien.

Additional information

Received: 26 January 2003, Accepted: 19 July 2004, Published online: 10 February 2005

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lien, CC. A scalable model-based hand posture analysis system. Machine Vision and Applications 16, 157–169 (2005). https://doi.org/10.1007/s00138-004-0167-0

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00138-004-0167-0

Keywords:

Search

Navigation