AOI_seq |
Sequence analysis of area of interest entries |
AOI_time |
Time analysis of area of interest entries |
combine_eyes |
Combine binocular data into single X/Y coordinate pairs |
compare_algorithms |
A battery of metrics and plots to compare the two algorithms (dispersion and VTI) |
conditional_transform |
conditional_transform |
dist_to_visual_angle |
Compute visual angle from distance metrics |
fixation_dispersion |
Fixation detection using a dispersion method |
fixation_VTI |
Fixation detection using a velocity threshold identification method |
HCL |
Example dataset from that contains binocular eye data from two participants from a simple contingency learning task (the data are from Beesley, Nguyen, Pearson, & Le Pelley, 2015). In this task there are two stimuli that appear simultaneously on each trial (to the left and right of the screen). Participants look at these cues and then make a decision by selecting an "outcome response" button. |
HCL_AOIs |
Example AOIs for use with HCL |
HCL_behavioural |
Example dataset of behavioural data to complement dataset HCL. |
hdf5_to_csv |
hdf5_to_csv |
interpolate |
Interpolation of missing data (NAs) |
plot_seq |
Plot of raw data over time |
plot_spatial |
Plot raw data and fixations |
saccade_VTI |
Velocity threshold identification of saccades |
smoother |
Smoothing of raw data |