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):
- 10181078
- Application Number:
- 15/345,318
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- 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 = {Tue Jan 15 00:00:00 EST 2019},
month = {Tue Jan 15 00:00:00 EST 2019}
}
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