Voice Controlled Wheelchair

Abstract

The project focused on developing a voice-controlled wheelchair to support mobility and independence for those with physical impairments. The system integrates a dual control interface combining voice recognition and a mobile application to enhance accessibility. Arduino Uno microcontrollers were employed to process user commands from a voice recognition module, while ultrasonic and infrared sensors enabled real-time obstacle detection for safety. Bluetooth communication via the HC-08 module allowed wireless control and monitoring through a Flutter-based mobile application. Additional feedback mechanisms included LED indicators and a buzzer to alert users of obstacles. The prototype was implemented and tested in controlled indoor environments. Results demonstrated a voice recognition accuracy of up to 95% in quiet conditions, reliable obstacle detection within 20 cm, and smooth motor control for navigation. These outcomes confirm that the proposed system is a feasible and reliable solution for enhancing daily mobility of users with motor impairments.