AI - Enhanced Wheelchair Solutions for Spinal Cord Injury (SCI) Individuals

This paper is a design of a voice-controlled wheelchair which is well preferred for persons diagnosed with paraplegic and quadriplegic patients who can use voice commands to control and operate the wheelchair. Furthermore, an approach to sleep detection is developed through the utilization of OpenCV, enhancing the system's capability to identify periods of prolonged drowsiness indicative of potential sleep onset is also integrated. By harnessing the power of these technologies, we aim to enhance the independence, accessibility, and quality of life for individuals facing mobility challenges, ultimately paving the way for a more secure future. The Blynk app is used to develop a customized interface for controlling the wheelchair using voice commands. Users can create buttons within the Blynk app that correspond to specific commands, such as “move forward,” “turn left,” “turn right,” or “stop.” These commands can then be triggered by voice inputs detected by the app, allowing individuals to navigate the wheelchair hands-free. This Voice-Controlled AI Wheelchair project helps to enhance mobility for individuals with physical disabilities by developing a wheelchair that can be controlled using voice commands for navigation. This innovative assistive technology leverages voice recognition and artificial intelligence (AI) to provide users with intuitive and hands-free control over their mobility devices.