Eye tracking for cognition
Author(s)
Li, Stephen, M. Eng. Massachusetts Institute of Technology.
Download1129252378-MIT.pdf (2.019Mb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
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Show full item recordAbstract
Early detection of neurodegenerative diseases can lead to slower disease progression, as well as possible symptom reduction. Existing research has studied how cognitively impaired subjects solve tests such as the clock-drawing test and the Digital Symbol-Digit Test differently compared to healthy subjects. While subjects in previous work used a digitized pen in solving the Digital Symbol-Digit test, our research focuses on having the subjects wear eye-tracking glasses as well. These glasses bring a significant improvement in mobility over computer-mounted or headframe eye trackers, but also may come with its reliability issues. After these issues are solved, the gaze data provided brings a wealth of information on learning rate and clues to what the subject is thinking.
Description
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (page 53).
Date issued
2019Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.