Human Computer Interaction for Disabled People Using Artificial Intelligence

Human-Computer Interaction (HCI) strategies encompass a range of methods and techniques designed to facilitate seamless interactions between people and computers. In the past, the mouse and keyboard have been used as input devices in human computer interference systems. The primary goal of developing this application is to specifically enhance HCI for individuals with disabilities. The focus lies in empowering users to control the cursor using eyes, eliminating the need for hand control. The application uses Parallel-Convolutional Neural Network approach to accomplish the cursor control using eye. In addition, the eye-tracking mechanism is further im-proved by guaranteeing reliable and precise cursor control within the Dynamic Questions Window. The application opens up new possibilities for people with impairments, and provides a chance to actively engage with computers, and the ability to participate in performing of the movement of cursor.