GAZE TRACKING CONTROL SYSTEM FOR WHEEL CHAIR AND HOME AUTOMATION
Keywords:
Gaze tracking system, OpenCV, MediaPipe, Iris segmentation, Iris tracking, Image processing, Arduino, Home Automation, Euclidean distance.Abstract
In recent times, eye-controlled interfaces have revolutionized the lives of numerous individuals, particularly those with disabilities or
severe motor impairments that hinder their use of alternative computer peripherals. The focus of this research paper is an eye
tracking system that goes beyond enabling independent mobility—it empowers users to control various smart home devices in their
surroundings. Additionally, the system incorporates an audio output feature to cater to the user's daily needs effectively.
Our research objective is to design an innovative eye tracking system with a user-friendly multi-screen interface. Each screen
represents a smart home device, including the wheelchair, allowing users to effortlessly navigate and select devices using di fferent
eye-blinking patterns. This intuitive interface enhances user control and accessibility.
Moreover, the system prioritizes user safety by integrating various sensors. These sensors ensure a secure and reliable operation,
providing peace of mind for individuals using the wheelchair.
Overall, the eye tracking system is equipped with advanced features, offering a reliable and safe solution for individuals with mobility
limitations. it highlights the importance of user-centric design and personalized customization to ensure the system meets the specific
needs and preferences of the wheelchair user.










