eye_dat

<p>eye-tracking data of an 11-month-old infant watching 15 real-world scene stimuli</p>

datasets

Eye-tracking data must be transformed into fixations and saccades before it can be analyzed. This package provides a non-parametric speed-based approach to do this on a trial basis. The method is especially useful when there are large differences in data quality, as the thresholds are adjusted accordingly. The same pre-processing procedure can be applied to all participants, while accounting for individual differences in data quality.

Daan van Renswoude

gazepath

Parse Eye-Tracking Data into Fixations

eye_dat function

<p>A dataframe with 4 variables (x- and y-coordinates of gazeposition in pixels, stimuli name and distance to the screen in mm)</p>

eye_dat: Eye_Data

Description

Usage

Arguments

Format

References