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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2014: Artificial Intelligence and Soft Computing pp 433–444Cite as

An Arduino-Simulink-Control System for Modern Hand Protheses

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

Abstract

Despite the significant amount of research on the application of myoelectric research for upper limb prostheses control [1] and advances in signal processing and classification methods for myoeletric signals (MES), patient satisfaction and acceptance for modern hand prostheses is lacking [2]. This is partly due to missing intuitive and natural control possibilities for accessing the various grip patterns that are available with current prostheses models on the market. As a step towards easy prototyping and seamless integration of a wide variety of prostheses, we present a system based on the Arduino microcontroller platform. With adaptable Simulink TM models and a wide number of libraries for the Arduino IDE, the system allows electromyographic (EMG) processing as well as basic classification for actuating both basic hand models and more advanced hand prostheses. Complex classifier models can be trained with a PC-based MATLABTM application prior to microcontroller operation.

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Author information

Authors and Affiliations

  1. Institut für Technische Informatik, Universität der Bundeswehr München, Werner-Heisenberg-Weg 39, 85577, Neubiberg, Germany

    Andreas Attenberger & Klaus Buchenrieder

Authors
  1. Andreas Attenberger
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  2. Klaus Buchenrieder
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski  & Rafał Scherer  & 

  2. Częstochowa University of Technology, 42-200, Częstochowa, Poland

    Marcin Korytkowski

  3. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2014 Springer International Publishing Switzerland

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Attenberger, A., Buchenrieder, K. (2014). An Arduino-Simulink-Control System for Modern Hand Protheses. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_38

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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