International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 185 - Number 34 |
Year of Publication: 2023 |
Authors: Mohamed R. Abdelkader, Eslam T. Abdullah, Rana A. Mohamed, Rehab K. Salam, Omar Y. Mohamed, Azza M. Anis |
10.5120/ijca2023923127 |
Mohamed R. Abdelkader, Eslam T. Abdullah, Rana A. Mohamed, Rehab K. Salam, Omar Y. Mohamed, Azza M. Anis . AStar-Algorithm based Voice-Controlled Wheelchair for Quadriplegic Patients. International Journal of Computer Applications. 185, 34 ( Sep 2023), 31-35. DOI=10.5120/ijca2023923127
Physical disabilities caused by ageing, accidents, and diseases, pose significant challenges for individuals, hence affecting their mobility and communication abilities. Besides, the conventional control mechanisms proved ineffective for individuals with hand injuries or paralysis. Therefore, assistive devices such as wheelchairs have received much interest in recent years. In this paper, a voice-controlled wheelchair based on AStar-algorithm is proposed to overcome these limitations. The proposed design consists of a microcontroller interfaced with an ultrasonic sensor, a rotary encoder, a gyroscope, and motors for rotating the wheels in a specific direction. Moreover, an android application is created to send voice commands via a bluetooth module to interact with the microcontroller unit. The proposed system allows users to communicate easily to their desired destination using voice commands, then the wheelchair will autonomously find the shortest path and guide a user accordingly. The validity of the design is confirmed by Proteus simulations. After that, the capability of mobile application for fast communication between a user and the design is verified. Finally, a prototype for the proposed voice-controlled wheelchair is implemented and tested for different destinations.