Project Summary | Project Information |
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Eye trackers are human interface devices used to observe the movement of human eyes. Eye trackers are used in research, psychology, cognitive linguistics, marketing, human computer interaction, and in product design. There is currently no standardized test method for evaluating the quality of the data collected by human eye tracking devices. Consumers need to know what kind of data quality to expect when considering a purchase. Researchers using eye tracking data need to know if the data is reliable and need to quantify uncertainties. Manufacturers need a standard set of specifications to compare their products with those of their competitors. The solution to these problems is to create a robotic eye model with known inputs and predictable movement. The goal of this project is to create such a robotic eye which can mimic the movement characteristics of the human eye and address the concerns of our stake holders. This robotic eye will be free from biological variance. This will reduce the number of variables in our system. The project will focus on creating a programmable robotic eye capable of smooth pursuit as well as slow saccade. It will be programmable in a sequence or individual movements and shall retain a small footprint appropriate for use in a laboratory environment. The project will seek to minimize the cost to manufacture, maintain, and operate such a device without sacrificing high repeatability and ease of operation. See System Verification and Final Gate Review for most current information.
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Team Members
Member | Field | Role | Contact |
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Tim O'Hearn | ME | Team Lead/EDGE | tmo2460@rit.edu |
Katie Hardy | EE | Facilitator/Code Manager | krh1334@rit.edu |
Daniel Webster | EE | Hardware Manager | dcw3809@rit.edu |
Jorge J. Gonzalez | EE | Power System Manager | jjg5859@rit.edu |
Andrew J. Drogalis | ME | Communications Manager | ajd8191@rit.edu |
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