Voice Controlled Wheelchair

Authors

  • M. S. Arsha Student, Department of Electrical & Electronics Engineering, Musaliar College of Engineering, Trivandrum, India
  • A. Remya Raj Student, Department of Electrical & Electronics Engineering, Musaliar College of Engineering, Trivandrum, India
  • S. R. Pooja Student, Department of Electrical & Electronics Engineering, Musaliar College of Engineering, Trivandrum, India
  • Rugma Manoj Student, Department of Electrical & Electronics Engineering, Musaliar College of Engineering, Trivandrum, India
  • S. A. Sabitha Assistant Professor, Department of Electrical & Electronics Engineering, Musaliar College of Engineering, Trivandrum, India
  • Shimi Mohan Associate Professor, Department of Electrical & Electronics Engineering, Musaliar College of Engineering, Trivandrum, India

DOI:

https://doi.org/10.47607/ijresm.2020.298

Keywords:

Arduino, Battery level indicator, Ultrasonic sensor, Voice recognition module

Abstract

This paper is a design of Voice Controlled Wheel Chair for people who has any physical illness. Here Arduino, microcontroller and geetech voice recognition module are used to support the motion of the wheelchair. In order to provide the battery level, a battery level indicator is also provided. Based upon the direction specified in the commands, the Arduino will drive the 2 motors. People those who has disabilities with their hands, foot and lower body are unable to perform tasks on regular basis. So, there are many applications which help handicapped person to perform their tasks. The aim of this system to help people who cannot move properly without help others due to any physical illness or disabilities. Speech recognition technology will provide a new way of human interaction with machine.

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Published

21-09-2020

Issue

Vol. 3 No. 9 (2020)

Section

Articles

License

Copyright (c) 2020 M. S. Arsha, A. Remya Raj, S. R. Pooja, Rugma Manoj, S. A. Sabitha, Shimi Mohan

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M. S. Arsha, A. R. Raj, S. R. Pooja, R. Manoj, S. A. Sabitha, and S. Mohan, “Voice Controlled Wheelchair”, IJRESM, vol. 3, no. 9, pp. 103–106, Sep. 2020, doi: 10.47607/ijresm.2020.298.

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