This project contains tools to analyse eyetracker data (EyeLink, Tobii Nano, ...; import, preprocess, ...)
Script Data Requirements This script is designed to work with data that follows a specific format. Please ensure that your data meets the following requirements:
The data should be in tabular format, preferably in a CSV (Comma-Separated Values) file.
The data must contain the following columns:
Column 1: Time step information. Column 2: Tuple containing the x and y coordinates of the right eye. Column 3: Tuple containing the x and y coordinates of the left eye. Column 4: Diameter of the right eye. Column 5: Diameter of the left eye. The timestamp associated with a message must be the same as the timestamp of the first line of pupil data acquisition after the message. It should reflect simultaneous recording rather than delayed acquisition.
It is essential to specify the time scale used by the eye tracker. This information is necessary for accurate data processing.
Please ensure that your data adheres to these requirements before using the script. You should also be careful with whitespaces and tabulations between your data. Please refer to examples or to 'regexp' in 'preprocess_eyedata.py' to get the good structure of data.
-The file example.py refers to an example of data acquired by the eyetracker Eyelink. It is using the first version of 'preprocess_eyedata.py'. -The file example_maeva.py refers to an example of data acquired by the eyetracker Tobii. It is using a 2nd later version of 'preprocess_eyedata.py' with more options and tobii's specific processes. -The file example_yannael.py refers to an example of data acquired by the eyetracker Tobii. It is using a 3rd current version of 'preprocess_eyedata.py' with more options and tobii's specific processes.
-'pick_best_eye.py' is a function which has been created in a context where data where sometimes better from an eye or the other depending on subjects. It will return you which eye has the most usable data.