Control of Bio-prosthetic Hand via Sequential Recognition of EMG Signals Using Rough Sets Theory

  • Marek Kurzynski
  • Andrzej Zolnierek
  • Andrzej Wolczowski
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)


The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of miopotentials acquired of his body. We assume, that in the control process each prosthesis operation consists of specific sequence of elementary actions. The contextual (sequential) recognition is considered in which the rough sets approach is applied to the construction of classifying algorithm. Experimental investigations of the proposed algorithm for real data are performed and results are discussed.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Marek Kurzynski
    • 1
  • Andrzej Zolnierek
    • 1
  • Andrzej Wolczowski
    • 1
  1. 1.Chair of Systems and Computer NetworksTechnical University of Wroclaw, Faculty of ElectronicsWroclawPoland

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