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Sensing Feedback for the Control of Multi-joint Prosthetic Hand

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Advances in Systems Science (ICSS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 539))

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Abstract

The paper presents a design of a sensory system for a model of a hand prosthesis. The system is based on pressure sensors modules that detect a touch with an object, and measure a contact force. First tests show that the sensors are capable to detecting slippage of an object. Kinematic simulations in a CAD program for typical grasps of reference objects made it possible to determine size, shape and placement of the sensors. The developed sensors were integrated with the hand, and preliminary experiments with grasping of various objects were conducted.

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References

  1. Beeker, T.W., During, J., Den Hertog, A.: Artificial touch in a hand-prosthesis. Med. Biol. Eng. 5(1), 47–49 (1967)

    Article  Google Scholar 

  2. Biddiss, E., Chau, T.: Upper-limb prosthetics: critical factors in device abandonment. Am. J. Phys. Med. Rehabil. 86, 977–987 (2007)

    Article  Google Scholar 

  3. Camata, T.V., et al.: Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise. In: IEEE International Conference Engineering in Medicine and Biology Society (EMBC), pp. 1364–1367 (2010)

    Google Scholar 

  4. Cichocki, A., et al.: Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. Wiley, New York (2009)

    Book  Google Scholar 

  5. Cipriani, C., et al.: A novel concept for a prosthetic hand with a bidirectional interface: a feasibility study. IEEE Trans. Biomed. Eng. 56(11), 2739–2743 (2009)

    Article  Google Scholar 

  6. Damian, D.D., et al.: Artificial ridged skin for slippage speed detection in prosthetic hand applications. In: IEEE International Conference IROS, Taipei, Taiwan, pp. 904–909 (2010)

    Google Scholar 

  7. Güler, N.F., Koçer, S.: Classification of EMG signals using PCA and FFT. J. Med. Syst. 29(3), 241–250 (2005)

    Article  Google Scholar 

  8. Kaczmarek, K.A., et al.: Electrotactile and vibrotactile displays for sensory substitution systems. IEEE Trans. Biomed. Eng. 38(1), 1–16 (1991)

    Article  MathSciNet  Google Scholar 

  9. Khalil, W., Dombre, E.: Modeling, Identification and Control of Robot. Butterworth-Heinemann, Oxford (2004)

    MATH  Google Scholar 

  10. Kurzyński, M., Wołczowski, A.: Hetero- and homogeneous multiclassifier systems based on competence measure applied to the recognition of hand grasping movements. In: Piętka, E., Kawa, J., Wieclawek, W. (eds.) Information Technologies in Biomedicine, Volume 4. AISC, vol. 284, pp. 163–174. Springer, Cham (2014)

    Chapter  Google Scholar 

  11. León, B., Morales, A., Sancho-Bru, J.: Robot grasping foundations. In: León, B., Morales, A., Sancho-Bru, J. (eds.) From Robot to Human Grasping Simulation. Cognitive Systems Monographs, vol. 19, pp. 15–31. Springer, Cham (2014)

    Chapter  Google Scholar 

  12. Pylatiuk, C., Kargov, A., Schulz, S.: Design and evaluation of a low-cost force feedback system for myoelectric prosthetic hands. J. Prosthet. Orthot. 18, 57–61 (2006)

    Article  Google Scholar 

  13. Rossini, P., et al.: Double nerve intraneural interface implant on a human amputee for robotic hand control. Clin. Neurophysiol. 121(5), 777–783 (2010)

    Article  Google Scholar 

  14. Samin, J.C., Fisette, P.: Tree-like multibody structures. In: Samin, J.C., Fisette, P. (eds.) Symbolic Modeling of Multibody Systems. Solid Mechanics and Its Applications, vol. 112, pp. 89–127. Springer, Amsterdam (2003)

    Chapter  Google Scholar 

  15. Tabot, G., et al.: Restoring the sense of touch with a prosthetic hand through a brain interface. Proc. Nat. Acad. Sci. U.S.A. 110, 18279–18284 (2013)

    Article  Google Scholar 

  16. Tegin, J., Wikander, J.: Tactile sensing in intelligent robotic manipulation - a review. Ind. Rob. 32(1), 64–70 (2005)

    Article  Google Scholar 

  17. Wołczowski, A.: Smart hand: the concept of sensor based control. In: Proceedings of MMAR, Miedzyzdroje, pp. 783–790 (2001)

    Google Scholar 

  18. Wołczowski, A., Jakubiak, J.: Control of a multi-joint hand prosthesis—an experimental approach. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds.) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. AISC, vol. 403, pp. 553–563. Springer, Heidelberg (2016). doi:10.1007/978-3-319-26227-7_52

    Chapter  Google Scholar 

  19. Wołczowski, A., Kurzynski, M.: Control of hand prosthesis using fusion of biosignals and information from prosthesis sensors. In: Borowik, G., Chaczko, Z., Jacak, W., Łuba, T. (eds.) Computational Intelligence and Efficiency in Engineering Systems. SCI, vol. 595, pp. 259–273. Springer, Heidelberg (2015). doi:10.1007/978-3-319-15720-7_19

    Google Scholar 

  20. Wołczowski, A., Kurzyński, M.: Human-machine interface in bioprosthesis control using emg signal classification. Expert Syst. 27(1), 53–70 (2010)

    Article  Google Scholar 

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Acknowledgment

The work of the authors was supported by statutory grants.

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Authors and Affiliations

  1. Faculty of Electronics, Department of Cybernetics and Robotics, Wroclaw University of Science and Technology, Wroclaw, Poland

    Andrzej Wołczowski, Mariusz Głebocki & Janusz Jakubiak

Authors
  1. Andrzej Wołczowski
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  2. Mariusz Głebocki
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  3. Janusz Jakubiak
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Corresponding author

Correspondence to Andrzej Wołczowski .

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Editors and Affiliations

  1. Wroclaw University of Science and Technology, Wroclaw, Poland

    Jerzy Świątek

  2. Wroclaw University of Science and Technology, Wroclaw, Poland

    Jakub M. Tomczak

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Wołczowski, A., Głebocki, M., Jakubiak, J. (2017). Sensing Feedback for the Control of Multi-joint Prosthetic Hand. In: Świątek, J., Tomczak, J. (eds) Advances in Systems Science. ICSS 2016. Advances in Intelligent Systems and Computing, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-48944-5_22

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  • DOI: https://doi.org/10.1007/978-3-319-48944-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48943-8

  • Online ISBN: 978-3-319-48944-5

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