Publication Date
Spring 2021
Degree Type
Master's Project
Degree Name
Master of Science in Computer Science (MSCS)
Department
Computer Science
First Advisor
Robert Chun
Second Advisor
Nada Attar
Third Advisor
Fabio Di Troia
Keywords
eye gaze tracking, assistive technology, image processing, camera-based eye tracker
Abstract
Accessibility in technology has been a challenge since the beginning of the 1800s. Starting with building typewriters for the blind by Pellegrino Turri to the on-screen keyboard built by Microsoft, there have been several advancements towards assistive technologies. The basic tools necessary for anyone to operate a computer are to be able to navigate the device, input information, and perceive the output. All these three categories have been undergoing tremendous advancements over the years. Especially, with the internet boom, it has now become a necessity to point onto a computer screen. This has somewhat attracted research into this particular area. However, these advancements still have a lot of room for improvement for better accuracy and reduced latency. This project focuses on building a low-cost application to track eye gaze which in turn can be used to solve the navigation problem. The application is targeted to be helpful to people with motor disabilities caused by medical conditions such as Carpel Tunnel Syndrome, Arthritis, Parkinson’s disease, tremors, fatigue, and Cerebral Palsy. It may also serve as a solution for people with amputated limbs or fingers. For others, this could end up being a solution to situational impairments or a foundation for further research. This tool aims to help users feel independent and confident while using a computer system.
Recommended Citation
Ravi, Indhuja, "A Hybrid Gaze Pointer with Voice Control" (2021). Master's Projects. 994.
DOI: https://doi.org/10.31979/etd.2yan-jafp
https://scholarworks.sjsu.edu/etd_projects/994
Included in
Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons