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Control of Dexterous Hand Via Recognition of EMG Signals Using Combination of Decision-Tree and Sequential Classifier

  • Andrzej Wolczowski
  • Marek Kurzynski
Part of the Advances in Soft Computing book series (AINSC, volume 45)

Abstract

The paper presents a concept of bioprosthesis control via recognition of user’s intent. The set of elementary actions has been defined. We assume that each prosthesis operation consists of specific sequence of elementary actions. An example of prosthesis operations that can be composed into a decision tree is also presented. As a classifier the multistage recognition system is proposed, which combines sequential and decision-tree classifiers and its decisions are made on the basis of EMG signal analysis.

Keywords

Elementary Action Fuzzy Relation Rest Position Admissible Sequencing Grasp Object 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Andrzej Wolczowski
    • 1
  • Marek Kurzynski
    • 2
  1. 1.Faculty of Electronics, Institute of Robotics and InformaticsTechnical University of WroclawPoland
  2. 2.Faculty of Electronics, Chair of Systems and Computer NetworksTechnical University of WroclawPoland

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