Helmholtz Gemeinschaft

Search
Browse
Statistics
Feeds

SaFiDe: detection of saccade and fixation periods based on eye-movement attributes from video-oculography, scleral coil or electrooculography data

[thumbnail of Original Article]
Preview
PDF (Original Article) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB

Item Type:Article
Title:SaFiDe: detection of saccade and fixation periods based on eye-movement attributes from video-oculography, scleral coil or electrooculography data
Creators Name:Madariaga, S., Babul, C., Egaña, J.I., Rubio, I., Güney, G., Concha-Miranda, M., Maldonado, P.E. and Devia, C.
Abstract:In this work, we present SaFiDe, a deterministic method to detect eye movements (saccades and fixations) from eye-trace data. We developed this method for human and nonhuman primate data from video- and coil-recorded eye traces and further applied the algorithm to eye traces computed from electrooculograms. All the data analyzed were from free-exploration paradigms, where the main challenge was to detect periods of saccades and fixations that were uncued by the task. The method uses velocity and acceleration thresholds, calculated from the eye trace, to detect saccade and fixation periods. We show that our fully deterministic method detects saccades and fixations from eye traces during free visual exploration. The algorithm was implemented in MATLAB, and the code is publicly available on a GitHub repository. The algorithm presented is entirely deterministic, simplifying the comparison between subjects and tasks. Thus far, the algorithm presented can operate over video-based eye tracker data, human electrooculogram records, or monkey scleral eye coil data.
Keywords:Eye Movement Measurements, Fixation, Saccades, Eye-Tracking Technology, Electrooculography
Source:MethodsX
ISSN:2215-0161
Publisher:Elsevier
Volume:10
Number:2023
Page Range:102041
Date:24 January 2023
Official Publication:https://doi.org/10.1016/j.mex.2023.102041

Repository Staff Only: item control page

Downloads

Downloads per month over past year

Open Access
MDC Library