Paper Key : IRJ************859
Author: Dhanshree Nandkumar Shedge
Date Published: 04 Apr 2025
Abstract
Traditional input devices like mice and keyboards face accessibility, efficiency, and hygiene challenges. This paper introduces Neuro Gaze AI, a touchless, gesture-controlled cursor system enhancing human-computer interaction. The system utilizes MediaPipe for hand tracking, OpenCV for image processing, and deep learning models for real-time gesture recognition. It enables cursor movement, clicks, and scrolling without physical peripherals, ensuring a seamless experience. Optimized for low latency and adaptability to various lighting conditions, Neuro Gaze AI provides high accuracy with minimal processing delays. Testing confirms robust performance across different environments, benefiting users with mobility impairments. The system offers a cost-effective, hygienic alternative for applications in healthcare, gaming, and smart homes. It supports multiple gestures for diverse use cases and is designed for scalability and efficiency. Future enhancements include predictive gesture analysis and expanded functionality for complex interactions.