Voice-Activated Smart Wheelchair for Enhanced Mobility in Physically Challenged Individuals

Abstract

The primary aim of this project focusing on a voice-controlled wheelchair system is to enable wheelchair control through speech recognition technology. The system is specifically tailored to aid individuals with disabilities, mobility impairments, and the elderly who may struggle with conventional wheelchair controls. By harnessing speech recognition technology, users can interact with the wheelchair using vocal commands, thereby reducing their reliance on assistance for daily mobility. Integrating speech recognition technology offers a novel approach to human-machine interaction, addressing the challenges faced by individuals with limited mobility. To optimize this solution, the project leverages smartphones as an intermediary interface, allowing users to control the wheelchair through a dedicated application. The project entails the development of interfaces for speech recognition, wheelchair movement control, and a graphical command management application. Hardware components include an Arduino microcontroller circuit, DC motors for wheelchair movement, and ultrasonic sensors to detect obstacles along the wheelchair's path. By combining these technologies, the project aims to enhance accessibility and independence for individuals with mobility limitations.