Eye Tracking Applications in Colour Vision Assessment

Abstract Traditionally, colour vision assessment relies on the patient’s subjective response. The current study introduces an objective approach using eye movement analysis to explore the perception of moving chromatic stimuli. Chromatic sensitivity was assessed using Dynamic-Static Colour Vision Test (DSCVT) stimuli. A total of 20 (15 female and 5 male) participants (aged 18–28 years, 21.7 ± 2.2) were recruited for the study. During stimulus presentation, participants were instructed to focus on the chromatic stimuli and provide a subjective response at the end of the demonstration. Simultaneously, eye gaze coordinates were recorded to assess chromatic sensitivity objectively. Sensory thresholds were determined using the method of constant stimuli, with detection probabilities computed through psychometric function fitting. Smooth pursuit eye movements were analysed using algorithms developed by Larsson et al. [1] and Nyström et al. [2], enabling the objective identification of the direction in which tracking distance was the longest. Higher chromatic saturation increased smooth pursuit detection; however, inconsistencies in individual performance prevented consistent modelling of the psychometric function due to response variability. In cases where stimulus intensity exceeded threshold levels, correct responses were often given without tracking the object, limiting smooth pursuit-based assessment. Smooth pursuit movements alone were insufficient for severity classification of colour vision deficiencies; further research is needed using additional eye movement metrics.

Authors

Institutions

Publication Details

Journal
Latvian Journal of Physics and Technical Sciences
Published
2025-10-01
DOI
https://doi.org/10.2478/lpts-2025-0036
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Eye Tracking Applications in Colour Vision Assessment

Sergejs Fomins, Elza Krasta, Ilze Ceple, Renārs Trukša et al.
Latvian Journal of Physics and Technical Sciences
Gaze Tracking and Assistive Technology
article

Eye Tracking Applications in Colour Vision Assessment

Sergejs Fomins, Elza Krasta, Ilze Ceple, Renārs Trukša, Anete Kļavinska, A. Katanska
article en

Abstract

Abstract Traditionally, colour vision assessment relies on the patient’s subjective response. The current study introduces an objective approach using eye movement analysis to explore the perception of moving chromatic stimuli. Chromatic sensitivity was assessed using Dynamic-Static Colour Vision Test (DSCVT) stimuli. A total of 20 (15 female and 5 male) participants (aged 18–28 years, 21.7 ± 2.2) were recruited for the study. During stimulus presentation, participants were instructed to focus on the chromatic stimuli and provide a subjective response at the end of the demonstration. Simultaneously, eye gaze coordinates were recorded to assess chromatic sensitivity objectively. Sensory thresholds were determined using the method of constant stimuli, with detection probabilities computed through psychometric function fitting. Smooth pursuit eye movements were analysed using algorithms developed by Larsson et al. [1] and Nyström et al. [2], enabling the objective identification of the direction in which tracking distance was the longest. Higher chromatic saturation increased smooth pursuit detection; however, inconsistencies in individual performance prevented consistent modelling of the psychometric function due to response variability. In cases where stimulus intensity exceeded threshold levels, correct responses were often given without tracking the object, limiting smooth pursuit-based assessment. Smooth pursuit movements alone were insufficient for severity classification of colour vision deficiencies; further research is needed using additional eye movement metrics.

Latvian Journal of Physics and Technical SciencesVol. 62(5)
Latvia University of Life Sciences and Technologies (LV), University of Latvia (LV)
Openalex Percentile: Top 72%
Gaze Tracking and Assistive Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.