mne.preprocessing.eyetracking.read_eyelink_calibration

mne.preprocessing.eyetracking.read_eyelink_calibration(fname, screen_size=None, screen_distance=None, screen_resolution=None)

Return info on calibrations collected in an eyelink file.

Parameters:

fnamepath-like

Path to the eyelink file (.asc).

screen_sizearray_like of shape (2,)

The width and height (in meters) of the screen that the eyetracking data was collected with. For example (.531, .298) for a monitor with a display area of 531 x 298 mm. Defaults to None.

screen_distancefloat

The distance (in meters) from the participant’s eyes to the screen. Defaults to None.

screen_resolutionarray_like of shape (2,)

The resolution (in pixels) of the screen that the eyetracking data was collected with. For example, (1920, 1080) for a 1920x1080 resolution display. Defaults to None.

Returns:

calibrationslist

A list of Calibration instances, one for each eye of every calibration that was performed during the recording session.

Examples using mne.preprocessing.eyetracking.read_eyelink_calibration

Importing Data from Eyetracking devices

Importing Data from Eyetracking devices

Working with eye tracker data in MNE-Python

Working with eye tracker data in MNE-Python

Plotting eye-tracking heatmaps in MNE-Python

Plotting eye-tracking heatmaps in MNE-Python