• Nukala Akhil
• Rathod Maheshwar
• Domala Ramu Kumar
• Md Adnan Sami

Advancements in computer vision and human- computer interaction have led to innovative approaches in user interface design. This project explores the realm of eye-controlled cursor movement, aiming to create a hands- free and intuitive interaction experience. By leveraging OpenCV, a powerful computer vision library, in conjunction with cutting-edge algorithms, the project focuses on accurately detecting and tracking eye movements to control the cursor on a screen. The overarching goal is to enable individuals with motor impairments or those seeking efficient interaction methods to effortlessly navigate digital interfaces. The project delves into the algorithmic concepts and methodologies that underpin eye gaze estimation and tracking. It investigates a range of research papers and studies that highlight diverse techniques, from deep learning-based gaze prediction to hybrid approaches combining appearance and geometry. The exploration encompasses both traditional computer vision methodologies and modern neural network architectures. The applications of eye-controlled cursor movement are manifold. They encompass human-computer interaction, accessibility, virtual reality, and beyond. By translating the intricate movements of the human eye into meaningful cursor commands, the project opens avenues for creating inclusive interfaces and facilitating immersive experiences. In this pursuit, the project not only surveys recent research papers and studies but also draws insights from interdisciplinary fields, including natural language processing, audio-visual synchronization, and multimodal learning. By understanding the symbiotic relationship between different modalities and their potential synergies, the project aims to enhance the accuracy, responsiveness, and versatility of eye-controlled cursor movement systems.

Detect the Eye Region, Calculate Eye Center, Track Pupil Movement, Map Pupil Movement to Cursor Movement, Move Cursor

"Eye Ball Cursor Using Open CV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.d44-d48, March-2024, Available :http://www.jetir.org/papers/JETIR2403306.pdf

"Eye Ball Cursor Using Open CV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppd44-d48, March-2024, Available at : http://www.jetir.org/papers/JETIR2403306.pdf