Voice Control Wheelchair for Physical Challenged Persons

Abstract

The main objective of the SMART WHEELCHAIR project is to provide a fully functional system that is helpful for physically disabled people. The system is designed to control a wheelchair using a manual keypad, voice commands, a mobile gyroscope, and a joystick module. The objective of this project is to facilitate the movement of people who are disabled, handicapped, or elderly and are unable to move easily. The goal of this system is to allow such individuals to live a life with less dependence on others for their daily mobility. This can be realized and optimized by using a smartphone device as an intermediary or interface. In this project, interfaces have been designed to develop a program for controlling the movement of the chair and an application that can handle or manage graphical commands. This project uses an Arduino Uno microcontroller circuit and four TT [Traction Motor] DC motors to create the movement of the wheelchair, along with Ultrasonic Sensor sensors to detect obstacles between the wheelchair and its direction of movement. The results and analysis of this innovation are described in this report, and the results show that the module can be used for future research work and to design innovative solutions that meet market needs and public interest.

Country : India

1 Aniket Lahare2 Aryan Rawool3 Prasad Yadav4 Prof. Surekha Mahadik

  1. B.E Student, Department of Electrical Engineering, A. C. Patil College of Engineering, Kharghar Navi Mumbai, Maharashtra, India
  2. B.E Student, Department of Electrical Engineering, A. C. Patil College of Engineering, Kharghar Navi Mumbai, Maharashtra, India
  3. B.E Student, Department of Electrical Engineering, A. C. Patil College of Engineering, Kharghar Navi Mumbai, Maharashtra, India
  4. Assistant Professor, Department of Electrical Engineering, A. C. Patil College of Engineering, Kharghar Navi Mumbai, Maharashtra, India

IRJIET, Volume 10, Issue 4, April 2026 pp. 73-78

doi.org/10.47001/IRJIET/2026.104009

References

  1. Kumaran M.B., Renold A.P.: Implementation of voice based wheelchair for differently abled. 4th IEEE International Conference on Computing, Communication and Networking Technologies, pp. 1-6, India (2013).
  2. Nutthanan Wanluk, Sarinporn Visitsattapongse, Aniwat Juhong, C. Pintavirooj.: Smart wheelchair based on eye tracking. 9th IEEE Biomedical Engineering International Conference (BMEiCON), 2016.
  3. 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, P.1- 5, India (2014).
  4. Romil Chauhan, Yash Jain, Harsh Agarwal, Abhijit Patil: Study of Implementation of Voice Controlled Wheelchair. 3rd International Conference on Advanced.