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Massachusetts Institute of Technology

Eye tracking for cognition

Abstract

dc:description.abstract

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.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Li, Stephen, M. Eng. Massachusetts Institute of Technology.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/123202
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/123202

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Li, Stephen, M. Eng. Massachusetts Institute of Technology.. Eye tracking for cognition. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123202