Validation of a novel software‐based platform to extract oculometric measures

Purpose: Eye‐tracking systems are a valuable tool in the assessment of disorders by detecting eye movement abnormalities. However, current systems require lab settings, extraction of oculometric measures entails dedicated long sessions, and operation requires qualified personnel. Recently, a novel s...

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Veröffentlicht in:Acta ophthalmologica (Oxford, England) England), 2022-12, Vol.100 (S275), p.n/a
Hauptverfasser: Rosset, Israel, Raveh, Eitan, Shimon, Assaf Ben, Anisimov, Vova, Ben‐Ami, Edmund, Kreitman, Rivka, Breakstone, Micha
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Sprache:eng
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Zusammenfassung:Purpose: Eye‐tracking systems are a valuable tool in the assessment of disorders by detecting eye movement abnormalities. However, current systems require lab settings, extraction of oculometric measures entails dedicated long sessions, and operation requires qualified personnel. Recently, a novel software‐based platform was developed, using a webcam, enabling the extraction of oculometric measures in a short test with seamless operation. The aim of this study was to validate this platform as compared with a validated eye‐tracker. Methods: 82 participants (51 females, age range 21–88) were evaluated with a software‐based platform (NeuraLight, Israel) in a 15‐minute eye‐tracking test. Participants were presented with different stimuli for various tasks. During the test, data from a validated eye‐tracker (Tobii Pro, Sweden) were captured. Correlations between oculometric measures captured by both methods were calculated using Pearson correlation. Observable information on demographic data was measured using Fisher information matrix. Results: Eye and gaze positions captured by the NeuraLight platform were highly correlated with eye‐tracker (r = 0.9–0.99, p  0.9, p 
ISSN:1755-375X
1755-3768
DOI:10.1111/j.1755-3768.2022.0359