mne.preprocessing.eyetracking.read_eyelink_calibration#
- mne.preprocessing.eyetracking.read_eyelink_calibration(fname, screen_size=None, screen_distance=None, screen_resolution=None)[source]#
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 toNone
.- screen_distance
float
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 toNone
.
- Returns:
- calibrations
list
A list of
Calibration
instances, one for each eye of every calibration that was performed during the recording session.
- calibrations
Examples using mne.preprocessing.eyetracking.read_eyelink_calibration
#
Importing Data from Eyetracking devices
Working with eye tracker data in MNE-Python
Plotting eye-tracking heatmaps in MNE-Python