Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis
This work presents a study of an extensive set of 101 categories of eye movement features from three types of eye movement events: fixations, saccades, and post-saccadic oscillations. We present a unified framework of methods for the extraction of features that describe the temporal, positional and...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-03-01
|
| Series: | Journal of Eye Movement Research |
| Subjects: | |
| Online Access: | https://bop.unibe.ch/JEMR/article/view/3795 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850273604014440448 |
|---|---|
| author | Ioannis Rigas Lee Friedman Oleg Komogortsev |
| author_facet | Ioannis Rigas Lee Friedman Oleg Komogortsev |
| author_sort | Ioannis Rigas |
| collection | DOAJ |
| description | This work presents a study of an extensive set of 101 categories of eye movement features from three types of eye movement events: fixations, saccades, and post-saccadic oscillations. We present a unified framework of methods for the extraction of features that describe the temporal, positional and dynamic characteristics of eye movements. We perform statistical analysis of feature values by employing eye movement data from a normative population of 298 subjects, recorded during a text reading task. We present overall measures for the central tendency and variability of feature values, and we quantify the test-retest reliability of features using either the Intraclass Correlation Coefficient (for normally distributed and normalized features) or Kendall’s coefficient of concordance (for non-normally distributed features). Finally, for the case of normally distributed and normalized features we additionally perform factor analysis and provide interpretations of the resulting factors. The presented methods and analysis can provide a valuable tool for researchers in various fields that explore eye movements, such as in behavioral studies, attention and cognition research, medical research, biometric recognition, and human-computer interaction. |
| format | Article |
| id | doaj-art-2fbca47be13e4286b7894719b5f7abe2 |
| institution | OA Journals |
| issn | 1995-8692 |
| language | English |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-2fbca47be13e4286b7894719b5f7abe22025-08-20T01:51:27ZengMDPI AGJournal of Eye Movement Research1995-86922018-03-0111110.16910/jemr.11.1.3Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical AnalysisIoannis Rigas0Lee Friedman1Oleg Komogortsev2Texas State UniversityTexas State UniversityTexas State UniversityThis work presents a study of an extensive set of 101 categories of eye movement features from three types of eye movement events: fixations, saccades, and post-saccadic oscillations. We present a unified framework of methods for the extraction of features that describe the temporal, positional and dynamic characteristics of eye movements. We perform statistical analysis of feature values by employing eye movement data from a normative population of 298 subjects, recorded during a text reading task. We present overall measures for the central tendency and variability of feature values, and we quantify the test-retest reliability of features using either the Intraclass Correlation Coefficient (for normally distributed and normalized features) or Kendall’s coefficient of concordance (for non-normally distributed features). Finally, for the case of normally distributed and normalized features we additionally perform factor analysis and provide interpretations of the resulting factors. The presented methods and analysis can provide a valuable tool for researchers in various fields that explore eye movements, such as in behavioral studies, attention and cognition research, medical research, biometric recognition, and human-computer interaction.https://bop.unibe.ch/JEMR/article/view/3795eye movementsfeature extractionsaccadesfixationspost-saccadic oscillationsvariability |
| spellingShingle | Ioannis Rigas Lee Friedman Oleg Komogortsev Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis Journal of Eye Movement Research eye movements feature extraction saccades fixations post-saccadic oscillations variability |
| title | Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis |
| title_full | Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis |
| title_fullStr | Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis |
| title_full_unstemmed | Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis |
| title_short | Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis |
| title_sort | study of an extensive set of eye movement features extraction methods and statistical analysis |
| topic | eye movements feature extraction saccades fixations post-saccadic oscillations variability |
| url | https://bop.unibe.ch/JEMR/article/view/3795 |
| work_keys_str_mv | AT ioannisrigas studyofanextensivesetofeyemovementfeaturesextractionmethodsandstatisticalanalysis AT leefriedman studyofanextensivesetofeyemovementfeaturesextractionmethodsandstatisticalanalysis AT olegkomogortsev studyofanextensivesetofeyemovementfeaturesextractionmethodsandstatisticalanalysis |