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Speech and sensor in guiding an electric wheelchair

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Abstract

Many people with disabilities do not have the dexterity necessary to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement of an Electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles. The methodology adopted is based on grouping a microcontroller with a speech recognition development kit for isolated word from a dependent speaker and a set of sensors. In order to gain in time design, tests have shown that it would be better to choose a speech recognition kit and to adapt it to the application.

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Authors and Affiliations

  1. Faculty of Engineering, Department of Electronics, Badji Mokhtar University, BP.12, Annaba, 23000, Algeria

    M. Fezari & M. Bousbia-Salah

Authors
  1. M. Fezari
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  2. M. Bousbia-Salah
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The text was submitted by the authors in English.

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Fezari, M., Bousbia-Salah, M. Speech and sensor in guiding an electric wheelchair. Aut. Conrol Comp. Sci. 41, 39–43 (2007). https://doi.org/10.3103/S0146411607010063

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  • DOI: https://doi.org/10.3103/S0146411607010063

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