Year: 2025
Type: article
Abstract: DristiTrack is a software-based eye-tracking system designed to assist individuals with physical disabilities by enabling hands-free computer interaction. Traditional input methods such as keyboards and mice pose challenges for users with limited mobility. This project overcomes these limitations by utilizing computer vision to track eye movements and simulate mouse clicks through blink detection. The system leverages real-time facial landmark detection to ensure accurate and responsive cursor control [1][2]. This paper reviews the development methodology, technical approaches, and applications of the system. It also highlights the libraries used, such as MediaPipe and OpenCV [3][4], and discusses the potential impact of eye-tracking technology in assistive applications
Author: Deependra Singh
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408527363