Identifying experts in the field of visual arts using oculomotor signals
In this article, we aimed to present a system that enables identifying experts in the field of visual art based on oculographic data. The difference between the two classified groups of tested people concerns formal education. At first, regions of interest (ROI) were determined based on position of...
Saved in:
| Main Authors: | Marcin Kolodziej, Andrzej Majkowski, Piotr Francuz, Remigiusz J. Rak, Paweł Augustynowicz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-05-01
|
| Series: | Journal of Eye Movement Research |
| Subjects: | |
| Online Access: | https://bop.unibe.ch/JEMR/article/view/4185 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Eye Tracking in Parkinson’s Disease: A Review of Oculomotor Markers and Clinical Applications
by: Pierluigi Diotaiuti, et al.
Published: (2025-03-01) -
Comparing Experts and Novices on Scaffolded Data Visualizations using Eye-tracking
by: Kathryn Stofer, et al.
Published: (2014-12-01) -
The effect of fixational eye movements on fixation identification with a dispersion-based fixation detection algorithm
by: Pieter Blignaut, et al.
Published: (2009-04-01) -
VisME: Visual microsaccades explorer
by: Tanja Munz, et al.
Published: (2019-12-01) -
Reliability and correlates of intra-individual variability in the oculomotor system
by: Marlou Nadine Perquin, et al.
Published: (2019-10-01)