Paper Contents
Abstract
This project presents a cutting-edge mobility solution aimed at enhancing autonomy and accessibility for individuals with physical and visual disabilities. The proposed voice-controlled wheelchair employs advanced speech recognition technology, allowing users to control movement through simple voice commands such as forward, backward, left, right, and stop. A high-sensitivity microphone array combined with real-time noise-cancellation ensures accurate command detection even in noisy environments.For visually impaired users, the system integrates obstacle detection using ultrasonic and infrared sensors, along with an auditory feedback module that provides spoken navigation cues for safe and intuitive movement. The wheelchair is designed with a focus on ease of use, affordability, and adaptability to accommodate a wide range of user needs.To improve linguistic accessibility, the voice recognition model is trained on datasets representing regional accents and dialects, ensuring inclusive usability. Field testing with disabled and blind individuals in both lab and real-world conditions revealed increased navigation accuracy, reduced caregiver reliance, and improved user satisfaction.By fusing speech-controlled navigation with real-time safety features, this project redefines assistive mobility technology. It provides an empowering, accessible, and intelligent solution that enables users to independently and confidently interact with their environment.
Copyright
Copyright © 2025 DONGRE SAURABH SUMRAN. This is an open access article distributed under the Creative Commons Attribution License.
