DristiTrack: Empowering Accessibility Through Eye-Tracking for Physically Disabled

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

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-17
DOI
https://doi.org/10.22214/ijraset.2025.67350
Primary Topic
Digital Accessibility for Disabilities
Type
article
Field-Weighted Citation Impact
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article

DristiTrack: Empowering Accessibility Through Eye-Tracking for Physically Disabled

Deependra Singh
International Journal for Research in Applied Science and Engineering Technology
Digital Accessibility for Disabilities
article

DristiTrack: Empowering Accessibility Through Eye-Tracking for Physically Disabled

Deependra Singh
article en

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

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
Openalex Percentile: Top 92%
Digital Accessibility for Disabilities
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