With the development of widely available commercial eye trackers, the use of eye tracking and pupillometry have become prevalent tools in cognitive research, both in industry and academia. However, dealing with pupil recordings often proves challenging, as the raw data produced by the eye tracker is subject to noise and artifacts. With the PUPILS toolbox the authors wish to simplify the processing of pupil data for researchers. The toolbox receives the raw data extracted from the eye tracker output files and provides an analysis of the relevant pupillary events (e.g., blinks and saccades), interpolates missing data and denoises the recorded traces. The final output of the toolbox is a cleaned up recording that can be easily exported for use in further analysis.
Cite
@article{arxiv.2011.05118,
title = {PUPILS pipeline: A flexible Matlab toolbox for eyetracking and pupillometry data processing},
author = {Helia Relaño-Iborra and Per Bækgaard},
journal= {arXiv preprint arXiv:2011.05118},
year = {2020}
}
Comments
4 pages, the repository associated to this paper can be found at this https https://gitlab.gbar.dtu.dk/heliaib/PUPILS-preprocessing-pipeline