  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.
