Differences
This shows you the differences between two versions of the page.
|
mgl:taskreferenceeyetracking [2010/03/26 16:15] |
mgl:taskreferenceeyetracking [2022/08/30 13:40] (current) |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| + | ====== Integrating eye tracking with a task ====== | ||
| + | |||
| + | |||
| + | There is a generic interface to the eye tracking functionality. As long as the appropriate callback functions are written for an eye tracker, no code needs to be changed in your task. | ||
| + | |||
| + | To configure MGL to use an eye tracker you must initialize the eye tracker support. The eye tracker configuration is specified in the eyetracker field of myscreen. | ||
| + | |||
| + | You should start by specifying whether to save the data (in a file) and what data you need. | ||
| + | <code matlab> | ||
| + | myscreen.eyetracker.savedata = true; | ||
| + | myscreen.eyetracker.data = [1 1 1 0]; % don't need link events | ||
| + | </code> | ||
| + | |||
| + | You also need to specify one of your tasks (or which of your phases) you want to use to control the eye data timing. This task will define what is a block, trial, etc. | ||
| + | <code matlab> | ||
| + | task{1}.collectEyeData = true; | ||
| + | </code> | ||
| + | |||
| + | Next you initialize MGL's eye tracker support for your eye tracker. | ||
| + | <code> | ||
| + | myscreen = initEyeTracker(myscreen, 'Eyelink'); | ||
| + | </code> | ||
| + | |||
| + | And finally you need to run a calibration. | ||
| + | <code matlab> | ||
| + | myscreen = calibrateEyeTracker(myscreen); | ||
| + | </code> | ||