Analyse Eye Data
Sequence analysis of area of interest entries
Binned time analysis of area of interest entries
Analysis of time spent in areas of interest
Combine binocular data into single X/Y coordinate pairs
A battery of metrics and plots to compare the two algorithms (dispersi...
conditional_transform
Create a blank data frame for populating with AOIs
Compute visual angle from distance metrics
eyetools: Analyse Eye Data
Fixation detection using a dispersion method
Fixation detection using a velocity threshold identification method
Get messgaes stored in TOBII-generated HDF5 files
Convert TOBII-generated HDF5 files to dataframe
Interpolation of missing data (NAs)
Plots absolute or proportional time spent in AOIs over time
Plot heatmap of raw data
Plot of raw data over time
Plot raw data and fixations
Velocity threshold identification of saccades
Smoothing of raw data
Enables the automation of actions across the pipeline, including initial steps of transforming binocular data and gap repair to event-based processing such as fixations, saccades, and entry/duration in Areas of Interest (AOIs). It also offers visualisation of eye movement and AOI entries. These tools take relatively raw (trial, time, x, and y form) data and can be used to return fixations, saccades, and AOI entries and time spent in AOIs. As the tools rely on this basic data format, the functions can work with data from any eye tracking device. Implements fixation and saccade detection using methods proposed by Salvucci and Goldberg (2000) <doi:10.1145/355017.355028>.