Advertisement

Control of Hand Bioprosthesis Via Sequential Recognition of Patient’s Intent Using Combination of Fuzzy Sets and Dempster-Shafer Theory

  • Marek Kurzynski
  • Andrzej Wolczowski
  • Mariusz Topolski
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 47)

Summary

The paper presents a concept of bioprosthesis control via recognition of user intent on the basis of myopotentials acquired from his body. The contextual recognition of elementary actions is considered and recognition algorithm based on fuzzy inference system with mathematical evidence model is described. Proposed method was experimentally tested on the real data dealing with grasping of different objects limited to the sequences of seven steps of elementary actions.

Keywords

Elementary Action Fuzzy Inference System Recognition Algorithm Basic Probability Assignment Fuzzy Rule Base System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    De Luca, C.J.: The Use of Surface Electromyography in Biomechanics, Journal of Applied Biomechanics. Journal of Applied Biomechanics 13(2), 128–135 (1997)MathSciNetGoogle Scholar
  2. 2.
    Eriksson, E., Sebelius, F., Balkenius, C.: Neural control of a virtual prosthesis. In: Vorbrüggen, J.C., von Seelen, W., Sendhoff, B. (eds.) ICANN 1996. LNCS, vol. 1112. Springer, Heidelberg (1996)Google Scholar
  3. 3.
    Kurzynski, M.: Benchmark of Approaches to Sequential Diagnosis. In: Lisboa, P., Ifeachor, J., Szczepaniak, P.S. (eds.) Perspectives in Neural Computing, pp. 129–140. Springer, Heidelberg (1998)Google Scholar
  4. 4.
    Kurzyński, M., Wolczowski, A.: Recognition of patient intention via analysis of EMG signal. In: Proc. 20th Conf. on Biocybernetics and Biomedical Engineering, Wroclaw, 126-130 (2007) (in Polish)Google Scholar
  5. 5.
    Kurzyński, M., Wolczowski, A.: Control of Dexterous Hand via Recognition of EMG Signal Using Combination of Decision-Tree and Sequential Classifier. In: Kurzynski, M., Wozniak, M. (eds.) Computer Recognition Systems, vol. 2, pp. 687–694. Springer, Heidelberg (2007)Google Scholar
  6. 6.
    Laschi, C., Dario, P., et al.: Grasping and Manipulation in Humanoid Robotics. In: First IEEE-RAS Workshop on Humanoids - Humanoids 2000, Boston (2000)Google Scholar
  7. 7.
    Nishikawa, D.: Studies on electromyogram to motion classifier, Graduate School of Engineering, Hokkaido University, Sapporo, Japa, 2001 (PhD Dissertation) (2001)Google Scholar
  8. 8.
    Wolczowski, A.: Smart Hand: The Concept of Sensor based Control. In: Proc. of 7th IEEE Int. Symposium on Methods and Models in Automation and Robotics, Miedzyzdroje (2001)Google Scholar
  9. 9.
    Wolczowski, A., Krysztoforski, K.: Control-measurement circuit of myoelectric prosthesis hand. Proc. of 13th Conf. of the European Society of Biomechanics, Acta of Bioengineering and Biomechanics 2002 4 (supp. 1), 576–577 (2002)Google Scholar
  10. 10.
    Wolczowski, A., Kurzynski, M.: Control of Artificial Hand via Recognition of EMG Signals. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds.) ISBMDA 2004. LNCS, vol. 3337, pp. 356–367. Springer, Heidelberg (2004)Google Scholar
  11. 11.
    Wolczowski, A., Myśliński, S.: Identifying the relation between finger motion and EMG signals for bioprosthesis control. In: Proc. of 12th IEEE Int. Conf. on Methods and Models in Automation and Robotics, Miedzyzdroje (2006)Google Scholar
  12. 12.
    Topolski, M.: Computer sequential classification algorithms combining fuzzy logic and Dempster-Shafer theory. Report PRE 1/07. Wroclaw University of Technology (PhD dissertation) (in Polish) (2007)Google Scholar
  13. 13.
    Wierzchon, S.T.: Methods of processing of uncertain information using Dempster-Shafer theory. Institute of Computer Science Polish Academy of Sciences. Warsaw. Poland (in Polish) (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Marek Kurzynski
    • 1
  • Andrzej Wolczowski
    • 2
  • Mariusz Topolski
    • 1
  1. 1.Faculty of Electronics, Chair of Systems and Computer NetworksWroclaw University of TechnologyWroclawPoland
  2. 2.Faculty of Electronics, Institute of Robotics and InformaticsWroclaw University of TechnologyWroclawPoland

Personalised recommendations