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Design of Voice Controlled Smart Wheelchair

by Ali A. Abed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 1
Year of Publication: 2015
Authors: Ali A. Abed
10.5120/ijca2015907235

Ali A. Abed . Design of Voice Controlled Smart Wheelchair. International Journal of Computer Applications. 131, 1 ( December 2015), 32-38. DOI=10.5120/ijca2015907235

@article{ 10.5120/ijca2015907235,
author = { Ali A. Abed },
title = { Design of Voice Controlled Smart Wheelchair },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 1 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number1/23416-2015907235/ },
doi = { 10.5120/ijca2015907235 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:07.985524+05:30
%A Ali A. Abed
%T Design of Voice Controlled Smart Wheelchair
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 1
%P 32-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes the design of a smart, motorized, voice controlled wheelchair using embedded system. Proposed design supports voice activation system for physically disabled persons incorporating manual operation. Arduino microcontroller and speaker dependent voice recognition processor have been used to support the navigation of the wheel chair. The direction and velocity of the chair are controlled by pre-defined Arabic voice commands. The speaker dependent, isolated word recognition system (IWRS) for a definite utterance of Arabic words to suit the patient's requirements has been programmed and successfully demonstrated. The technique of speech signal processing for extraction of sound parameters, noise removal, intensity and normalization of time , and features matching etc. have been done with the speech processor HM2007that being embedded efficiently in real time. Arduino receives the coded digital signals from the IWRS which being properly recognizes voice commands in order to control the function of the chair accordingly. The wheelchair does not respond to a false speech command. The overall mechanical assembly is driven by two14A/24V/200Watt DC motors having an engagement/disengagement clutch and speed reduction gear with built-in locking control. The system is tested using a speech password to start operation and seven Arabic commands to control motion: "Amam (forward), Saree'(fast), Batee' (slow), Khalf (backward), Yameen (right), Yesar (left), Tawaqaf (stop)". It proved a good working in clear and noisy environments with safe movement.

References
  1. Khalid A.D., Ala F., Iyad F., Baraa A., and Saed W., "Efficient DTW-based speech recognition system for isolated words of Arabic language", World Academy of Science, Engineering and Technology, Vol. 7, P. 106-113.
  2. HMC Company, "HM2007 data sheet".
  3. Simpson R.C., Levine S.P., "Voice control of a power wheelchair", IEEE Transaction on Neural Systems and Rehabilitation Engineering, Vol.10, Issue 2, P. 122-125, 2002.
  4. Nishimori M., Saitoh T., Konishi R., "Voice controlled intelligent wheelchair", IEEE conference, 2007, P.336-340, Japan.
  5. Asakawa T., Nishihara K., Yoshidome T., "Experiment on operating methods of an electric wheelchair for a system of detecting position and direction", IEEE International Conference on Robotics and Biomimetic, 2007, P. 1260-1265, China.
  6. Fezari M., Khati A.E., "New speech processor and ultrasonic sensors based embedded system to improve the control of a motorized wheelchair", 3rd IEEE Workshop on Design and Test, 2008, P.345-349, Tunisia.
  7. Murai, A., Mizuguchi, M., Nishimori, M., Saitoh, T., Osaki, T., Konishi, R., " Voice activated wheelchair with collision avoidance using sensor information", IEEE Conference, 2009, P.4232-4237, Japan.
  8. Ruzaij M.F., Poonguzhali S., "Design and Implementation of low cost intelligent wheelchair", IEEE international Conference on Recent Trends in Information Technology, 2012, P.468-471, India.
  9. Kumaran M.B., Renold A.P., "Implementation of voice based wheelchair for differently abled", 4th IEEE International Conference on Computing, Communication and Networking Technologies, 2013, P.1-6, India.
  10. Sinyukov D.A, Ran Li, Otero N.W, Runzi Gao, Padir T., "Augmenting a voice and facial expression control of a robotic wheelchair with assistive navigation", IEEE International Conference on Systems, Man and Cybernetics, 2014, P. 1088-1094, California, USA.
  11. Aruna C., Dhivya P., Malini M., Gopu G., "Voice recognition and touch screen control based wheelchair for paraplegic persons", IEEE International Conference on Green Computing Communication and Electrical Engineering, 2014, P.1-5, India.
  12. Klabi I., Masmoudi M.S., Masmoudi M., "Advanced user interfaces for intelligent wheelchair system", 1st IEEE Conference on Advanced Technologies for Signal and Image Processing, 2014, P.130-136, Tunisia.
  13. Anousouya D.M, Sharmila R, Saranya V., "Hybrid brain computer interface in wheelchair using voice recognition sensors", IEEE International Conference on Computer Communication and Informatics, 2014, P. 1-5, India.
  14. Kepuska V.Z., Klein T.B., "A novel wake-up word speech recognition system wake-up-word recognition task, technology and evaluation", Nonlinear Analysis 71, Science Direct, Elsevier, P. 2772-2789, 2009.
  15. Alan G.S., "Introduction to Arduino", 2011 Alan G.Smith Press.
  16. http://www.instructables.com/id/Motor-Driver-BTS7960-43A
Index Terms

Computer Science
Information Sciences

Keywords

Speech recognition system Wheelchair PWM H-bridge driver

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