Date of Award

6-9-2017

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2017.

Department

Computer Engineering

First Advisor

Ben Steichen

Abstract

Eye Tracking is an up and coming form of technology that allows the analysis of human interaction and attention patterns. This can be extremely useful in multiple aspects such as the automotive industry, the medical field, gaming industries, and schools and universities. But what hasn't been done yet is the real time analysis of that data. In this document, we propose to bridge the gap between raw data gathered from the Tobii Pro X3-120 Eye Tracker and the real time analysis of that data. Doing so will unlock untapped potential in the form of dynamic applications and real time experiment analysis.

Download

Share

COinS