Vision Controlled Motorised Wheelchair

Abstract

Abstract: Even in this modern day, it is very difficult for physically challenged people to move from one place to other without others help. To give them an independent feel, a smart eye-controlled system is provided. A novel design of an embedded cardiorespiratory monitoring system for wheelchair users is proposed. This system gets the input from eye. An eye-ball controlled wheelchair is a type of assistive technology designed for individuals with paralysis or limited mobility. The wheelchair is controlled through the movement of the user's eyes, allowing them to navigate the chair without the use of their hands or arms. The system consists of a set of sensors that detect eye movements, a microcontroller that interprets the signals, and a motor controller that translates the signals into movement. The user wears a headset with a camera that tracks the movement of their eyes, which is then relayed to the sensors. The wheelchair can be programmed to respond to different eye movements, such as blinking or sustained gaze in a particular direction. The system is designed to be intuitive and easy to use, with minimal training required. One of the primary benefits of the eye-ball controlled wheelchair is increased independence for individuals with limited mobility. It allows them to move around their environment and interact with others without needing assistance. Additionally, the system is non-invasive and does not require surgery or implants. The movement of the wheel chair will be controlled by these inputs. Depending on this input the wheel chair will move forward, left, right or backward. With the help of this system the user can move independently without others help. It also included with obstacle detection system to ensure the safety for the user. If any obstacle is detected then the indication can be given with the help of LCD.The entire system is composed of a sensor node, and a cloud server. The former is used to obtain continuous vitalsign signals, and the latter processes the sampled signals to estimate the temperature level, implemented in an embedded system to achieve a fully integrated radar system. MATLAB image processing is used to sense the movement of the eye ball’s direction using eye ball sensor (Straight Command, Left/Right Command, Stop Command). The system is cost effective and thus can be used by patients spread over a large economy range