Voice Controlled Wheelchair for Physically Disabled People and Blind People
Hariharan S., A. Abinaya, V. Anjuga, V. Bhuvaneshwari · Asian Journal of Applied Science and Technology · 2025
The work focuses on developing an innovative mobility solution that enhances independence and accessibility for individuals with physical and visual impairments. The proposed voice-controlled wheelchair is equipped with state-of-the-art speech recognition technology, enabling users to issue simple voice commands such as “forward,” “backward,” “left,” “right,” and “stop” to control its movements. The system incorporates a robust microphone array and noise-cancellation algorithms to ensure accurate voice recognition in diverse environments, including noisy settings. For blind users, the wheelchair is integrated with obstacle detection sensors and auditory feedback systems, which provide real-time navigation assistance and ensure safety during movement. The wheelchair's design prioritizes user-friendliness, adaptability to individual needs, and affordability, making it accessible to a wider population. The implementation involves training the speech recognition model using datasets tailored to regional accents and diverse linguistic patterns to enhance inclusivity. The obstacle detection mechanism leverages ultrasonic and infrared sensors, while the auditory feedback system employs synthesized speech alerts for directional guidance. Extensive testing with physically disabled and blind individuals in controlled and real-world scenarios demonstrates improved navigation efficiency, reduced dependency on caregivers, and higher user satisfaction. This project bridges the gap between technology and accessibility, empowering users to regain autonomy and confidence in daily life. By leveraging advanced voice control systems and safety enhancements, the project revolutionizes mobility solutions for individuals with disabilities, offering them a transformative tool to interact with their environment effectively.