Non-conventional Control and Implementation of an Electric Wheelchair Designed to Climb Up Stairs, Controlled via Electromyography and Supported by Artificial Neural Network Processing

  • Martín L. Guzmán
  • Juan P. Pinto
  • Luis F. Reina
  • Carlos A. Esquit
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7914)

Abstract

This work is part of a project which main objective is to design and implement an electric wheelchair capable of climbing up stairs. The wheelchair is operated thru silent speech non-conventional control presented on this paper using electromyographic (EMG) signals which are fed to a multiple artificial neural network (ANN) system for pattern recognition. Mechanical design of the wheelchair, powering and sensing aspects are presented on additional papers. Electromyographic signals are captured from the patient’s anterior triangle of the neck muscle area using Surface Electromyography (SEMG) with electrodes in bipolar configuration. Silent speech commands from patient’s gestural movements of three, four and five phonetically different words are used to interact with a Graphic User Interface (GUI) for wheelchair navigation. The system was tested on five patients, achieving an overall recognition accuracy of 95% with 0.6s maximum response time.

Keywords

Artificial Neural Network (ANN) Electromyography (EMG) IIR Digital Filtering Digital Signal Processing Discrete Wavelet Transform Probabilistic Inference Silent Speech 

References

  1. 1.
    Jorgensen, C., Binsted, K.: Sub-Auditory Speech Recognition (2006), http://www2.hawaii.edu/~binsted/papers/BinstedJorgensenHICSS2006.pdf
  2. 2.
    Maier-Hein, L., Metze, F., Schultz, T., Waibel, A.: Session Independent Non-Audible Speech Recognition using Surface Electromyography (2006), http://mbi.dkfz-heidelberg.de/mbi/TR/Papers/P14-05.pdf
  3. 3.
    Valdeavellano Wurmser, M.: ANIMA: Métodos no convencionales de interfaz en el control de robots a través de la electroencefalografía y la electrooculografía: Módulo Ocular. Del Valle de Guatemala University, Guatemala (2009)Google Scholar
  4. 4.
    Konrad, P.: The ABC of EMG: A Practical Introduction to Kinesiological Electromyography (April 2005), http://demotu.org/aulas/controle/ABCofEMG.pdf
  5. 5.
    Gestal Pose, M.: Introducción a las Redes de Neuronas Artificiales, http://sabia.tic.udc.es/mgestal/cv/RNATutorial/TutorialRNA.pdf
  6. 6.
    Wand, M., Schultz, T.: Session Independent EMG-Based Speech Recognition (2011), http://csl.anthropomatik.kit.edu/downloads/WandSchultz_Biosignals2011.pdf

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Martín L. Guzmán
    • 1
  • Juan P. Pinto
    • 1
  • Luis F. Reina
    • 1
  • Carlos A. Esquit
    • 1
  1. 1.Department of Electronics EngineeringDel Valle de Guatemala UniversityGuatemala, Central America

Personalised recommendations