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

Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 47)


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.


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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  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

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