Separate between baseline and experimental data about hyperscanning2-redesign HOT 13 CLOSED

a134bdd can successfully extract baseline data.
But it requires more cleaning up, then transfer it to .py file as module.

Remove this kind of information when loading

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29e9619 much cleaner and remove the above verbose when saving into csv file

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e74196c turn to be a function of extract_baseline_eye_data

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56831d0 remove temporary paths.
The module consists of

1. extract_baseline_eye_data
2. extract_experiment_eye_data

Check here ef9367f if you want to run from jupyterlab

Needs to be merged to main branch please !

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Has been merged to main branch 3730f78
It is ready to use

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Has been merged to main branch 3730f78
It is ready to use

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3730f78 has an issue in parameter (labelsequence). It is fixed to 1

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Not all eye conditions are being extracted. It seems the error in that looping for both EEG or eye tracker data code !!
Looping should be all not just 6. Len(indicesOfExperimentalMarker)

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768e584 fixed the above issue. Each participant will be extracted into 18 files in total.
nice. For now, it only works for extract experimental eye data function

• Turn to py file later one

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However, there are some issues with raw files of eye tracker below. Check again

ToDo:

• Combine S04 with S04a
• Update S06 with the latest file from mygdrive

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95a000a fixed the issue of the above three issues from here. Ready to be transfered to py. But this is for eye tracker data only. Not yet for EEG.

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e4d975e changed position of parameter bad_files: list = [] in function of extract baseline eye tracker data to be the 3rd one instead of the last one. With that, we can put bad_files value and don't have to worry about the value of labelsequence parameter. Previously, we need to write labelsequence parameter if we want to write bad_files parameter value. This is just a small cosmetic :)

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e92c107 Revised explanation of labelsequence_experiment.

Jupyterlab
e92c107

Python file
d13c616

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