Skip to main content
Log in

Assessing joint angles in human hand via optical tracking device and calibrating instrumented glove

  • Published:
Meccanica Aims and scope Submit manuscript

Abstract

The aim of this paper is to present a method for assessing joint angles in a human hand: a method suitable for the calibration of an instrumented glove. The method is based on an optical tracking device and an inverse-kinematic model of the human hand. It requires only one reflective marker to be attached to each finger and three on the dorsal aspect of the hand in order to assess angles in finger joints. A further three markers are needed to calculate angles in thumb joints. Joint angles assessed through inverse kinematics and with the calibrated glove were validated against reference angles calculated from the centers of rotation of the joints while measuring the finger movements with multiple markers. In fingers, the mean difference between the reference angles and the angles assessed by the glove did not exceed ±7° when the proposed model-based method was used to calibrate the glove. For the thumb the mean error did not exceed ±5° when the reference method was used to calibrate the glove.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

D-H:

Denavit-Hartenberg

DOF:

Degrees of freedom

MCP:

Metacarpophalangeal joint

PIP:

Proximal interphalangeal joint

DIP:

Distal interphalangeal joint

CMC:

carpometacarpal joint

IP:

Interphalangeal joint

CoR:

Center(s) of rotation

f-e:

Flexion–extension

ab-ad:

Abduction–adduction

References

  1. Allevard T, Benoit E and Foulloy L (2005). Dynamic gesture recognition using signal processing based on fuzzy nominal scales. Measurement 38(3): 303–312

    Article  Google Scholar 

  2. Bernardin K, Ogawara K, Ikeuchi K and Dillmann R (2005). A sensor fusion approach for recognizing continuous human grasping sequences using hidden Markov models. IEEE Trans Robot Autom 21(1): 47–57

    Google Scholar 

  3. Bicchi A (2000). Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity. IEEE Trans Robot Autom 9(4): 432–443

    Google Scholar 

  4. Buchholz B, Armstrong T and Goldstein S (1992). Anthropometric data for describing the kinematics of the human hand. Ergonomics 35(3): 261–273

    Article  Google Scholar 

  5. Chang L,Matsuoka Y (2006) A kinematic thumb model for the ACT hand. In: Proceedings of international conference on robotics and automation. Orlando, FL, pp 1000–1005

  6. Chang L, Pollard N (2006) Constrained least-squares optimization for robust estimation of center of rotation. J Biomech 40(6):1392–1400

    Article  Google Scholar 

  7. Denavit J and Hartenberg R (1955). A kinematic notation for lower-pair mechanisms based on matrices. J Appl Mech 22: 215–221

    MATH  MathSciNet  Google Scholar 

  8. Dipietro L, Sabatini A and Dario P (2003). Evaluation of an instrumented glove for hand-movement acquisition. J Rehabil Res Dev 40(2): 179–190

    Google Scholar 

  9. Gamage SHU and Lasenby J (2004). New least squares solution for estimating the average centre of rotation and the axis of rotation. J Biomech 35(1): 87–93

    Article  Google Scholar 

  10. Halvorsen K, Lesser M and Lundberg A (1999). A new method for estimating the axis of rotation and the center of rotation. J Biomech 32(11): 1221–1227

    Article  Google Scholar 

  11. Kamper D, Cruz E and Siegel M (2003). Stereotypical fingertip trajectories during grasp. J Neurophysiol 90(6): 3702–3710

    Article  Google Scholar 

  12. Klopcar N and Jadran L (2005). Kinematic model for determination of human arm reachable workspace. Meccanica 40(2): 203–219

    Article  MATH  MathSciNet  Google Scholar 

  13. Kramer J (1996). Determination of thumb position using measurements of abduction and rotation. US Patent 5: 482,056

    Google Scholar 

  14. Laszlo L and Gabor S (2003). Dynamics of digital force control applied in rehabilitation robotics. Meccanica 38(2): 213–226

    Article  MATH  Google Scholar 

  15. MacKenzie L and Iberall T (1994). The grasping hand. Elsevier Science, Amsterdam

    Google Scholar 

  16. Miyata N, Kouchi M, Kurihara T, Mochimaru M (2004) Modeling of human hand link structure from optical motion tracking data. In: Proceedings of international conference on intelligent robots and systems. Sendai, Japan, pp 2129–2136

  17. Okamura A, Smaby N, Cutkosky M (2000) An overview of dexterous manipulation. In: Proceedings of international conference on robotics and automation San Francisco, CA, pp 255–262

  18. Sciavicco L, Siciliano B, (2002) Modelling and control of robot manipulators. Springer-Verlag

  19. Sturman D and Zeltzer D (1994). A survey of glove-based input. IEEE Comput Graph Appl 14(1): 30–39

    Article  Google Scholar 

  20. Vamplew P (1996) Recognition of sign language using neural networks. Ph.D. Thesis, School of Computing, University of Tasmania

  21. Veber M, Bajd T, Munih M (2006) Assessment of finger joint angles and calibration of instrumental glove. In: Advances in robot kinematics. Ljubljana, Slovenia

  22. Williams N, Penrose J, Caddy C, Barnes E, Hose D and Harley P (2000). A goniometric glove for clinical hand assessment construction, calibration and validation. J Hand Surg 25(2): 200–207

    Article  Google Scholar 

  23. Zhang X, Lee S-W and Braido P (2003). Determining finger segmental CoR in flexion-extension based on surface marker measurement. J Biomech 36(8): 1097–1102

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Veber.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Veber, M., Bajd, T. & Munih, M. Assessing joint angles in human hand via optical tracking device and calibrating instrumented glove. Meccanica 42, 451–463 (2007). https://doi.org/10.1007/s11012-007-9064-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11012-007-9064-8

Keywords

Navigation