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

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Book cover Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((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.

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Author information

Authors and Affiliations

  1. Faculty of Electronics, Institute of Robotics and Informatics, Technical University of Wroclaw, Poland

    Andrzej Wolczowski

  2. Faculty of Electronics, Chair of Systems and Computer Networks, Technical University of Wroclaw, Poland

    Marek Kurzynski

Authors
  1. Andrzej Wolczowski
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  2. Marek Kurzynski
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Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzynski , Edward Puchala , Michal Wozniak  & Andrzej Zolnierek , ,  & 

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© 2007 Springer-Verlag Berlin Heidelberg

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Wolczowski, A., Kurzynski, M. (2007). Control of Dexterous Hand Via Recognition of EMG Signals Using Combination of Decision-Tree and Sequential Classifier. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_86

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  • DOI: https://doi.org/10.1007/978-3-540-75175-5_86

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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