skip to main content
DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Analysis and categorization of eye tracking data describing scanpaths

Abstract

Described herein are various technologies pertaining to analysis of eye tracking data. A head and/or eyes of an observer who is viewing a visual stimulus is monitored, and eye tracking data that is representative of the path of the eyes of the observer over time (a scanpath) is generated. The eye tracking data is time-series data that defines the location of the focal point, or other measurable characteristics, of the eyes of the observer on the visual stimulus over time. A feature vector is constructed based upon the eye tracking data, where the feature vector is representative of the eye tracking data, and is thus representative of the scanpath. The feature vector is compared with other feature vectors to identify scanpaths that correspond to the scanpath represented by the feature vector.

Inventors:
; ;
Issue Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1496603
Patent Number(s):
10,181,078
Application Number:
15/345,318
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM) SNL
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 2016 Nov 07
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Haass, Michael Joseph, Wilson, Andrew T., and Rintoul, Mark Daniel. Analysis and categorization of eye tracking data describing scanpaths. United States: N. p., 2019. Web.
Haass, Michael Joseph, Wilson, Andrew T., & Rintoul, Mark Daniel. Analysis and categorization of eye tracking data describing scanpaths. United States.
Haass, Michael Joseph, Wilson, Andrew T., and Rintoul, Mark Daniel. Tue . "Analysis and categorization of eye tracking data describing scanpaths". United States. https://www.osti.gov/servlets/purl/1496603.
@article{osti_1496603,
title = {Analysis and categorization of eye tracking data describing scanpaths},
author = {Haass, Michael Joseph and Wilson, Andrew T. and Rintoul, Mark Daniel},
abstractNote = {Described herein are various technologies pertaining to analysis of eye tracking data. A head and/or eyes of an observer who is viewing a visual stimulus is monitored, and eye tracking data that is representative of the path of the eyes of the observer over time (a scanpath) is generated. The eye tracking data is time-series data that defines the location of the focal point, or other measurable characteristics, of the eyes of the observer on the visual stimulus over time. A feature vector is constructed based upon the eye tracking data, where the feature vector is representative of the eye tracking data, and is thus representative of the scanpath. The feature vector is compared with other feature vectors to identify scanpaths that correspond to the scanpath represented by the feature vector.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

Patent:

Save / Share: