Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control.

Journal: IEEE transactions on bio-medical engineering
Published Date:

Abstract

OBJECTIVE: We show that state-of-the-art deep neural networks achieve superior results in regression-based multi-class proportional myoelectric hand prosthesis control than two common baseline approaches, and we analyze the neural network mapping to explain why this is the case.

Authors

  • Michael Wand
    Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany.
  • Morten B Kristoffersen
    Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden; Integrum AB, Mölndal, Sweden.
  • Andreas W Franzke
  • Jürgen Schmidhuber
    Swiss AI Lab IDSIA, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, University of Lugano & SUPSI, Galleria 2, 6928 Manno-Lugano, Switzerland. juergen@idsia.ch