Smart Wheelchair based on Gesture Control with Autonomous Navigation

Mobility is essential to independence and quality of life, yet traditional wheelchairs pose challenges for individuals with severe physical disabilities, particularly those who struggle to operate manual or joystick-controlled systems due to limited upper limb motor function. This project introduces a smart wheelchair that leverages head motion as the primary control mechanism, offering a revolutionary approach to wheelchair navigation. By integrating advanced sensors and motion detection algorithms, the wheelchair can detect specific head movements, allowing users to intuitively control direction and speed without reliance on hand-operated controls. For instance, subtle head tilts to the left or right direct the wheelchair accordingly, while forward or backward motions control speed and stopping, with real-time signal processing adjusting the response based on movement intensity for precise, comfortable operation. Safety is paramount, with failsafe mechanisms that automatically halt the wheelchair if unintended movements or obstacles are detected, significantly reducing collision risks. This smart wheelchair marks a major advancement in assistive technology, empowering individuals with significant mobility challenges by providing them with greater autonomy, enhancing their quality of life, and exemplifying the potential for cutting-edge solutions to make daily life more accessible and independent.