Open Remi-Gau opened 1 year ago
Below is an EEG and Eye-tracking dataset
https://drive.google.com/drive/folders/1jEKySJdLc2cdO12y_MENxUHC95cjVIq9?usp=drive_link
The EEG and eye-tracking are perfectly synchronized and are at the same sampling frequency. There is only one event file for both.
Re: BEP 020 Meeting discussion about EEG+Eyetracking datasets:
@julia-pfarr See this OSF dataset:
Also see the dataset we use in this MNE-Python tutorial:
https://mne.tools/stable/auto_tutorials/preprocessing/90_eyetracking_data.html
I have code to read these into Python (if you need it).
Thanks @scott-huberty, these will be super useful for the example datasets.
Do you by any chance also have the edf files for those datasets? We need some more test files for the converter. Just one file from one participant per dataset would already be helping a lot!
Thanks @scott-huberty, these will be super useful for the example datasets.
Do you by any chance also have the edf files for those datasets? We need some more test files for the converter. Just one file from one participant per dataset would already be helping a lot!
Not for the OSF dataset, but for the MNE yes, I just shared it on our matrix chat forum. Alternatively, maybe we could skip the EDF2asc
and just ingest the ASCII file that is already included in the MNE-Python dataset?
Alternatively, maybe we could skip the
EDF2asc
and just ingest the ASCII file that is already included in the MNE-Python dataset?
I think in principle the converter does skip that step if there are already .asc
files in the folder, but only if they are named correctly, i.e. _events.asc
and _samples.asc
. We are running edf2asc -y -e ...
and edf2asc -y -s ...
separately to have one asc with only events and one asc with only samples to have less steps for data manipulation later.
@Remi-Gau is that true what I'm saying? Or does it stop anyway when it doesn't find an .edf
?
the converter does skip that step if there are already .asc files in the folder, but only if they are named correctly, i.e. _events.asc and _samples.asc
Ah I see well this is not the case for the ASCII file in the MNE-Python dataset, all the data is in a single ASCII file (it is more a source file than a BIDS compliant one).
Listing datasets that contain eyetracking data that could either be used as examples for the BEP or as input test data for an eventual eyetracking converter.
Examples
Combined behavior and eye-tracking fixation and saccade data, measured with an Eyelink (SR Research), from 8 particpants reading 320 embedded target words and invisible boundary (see Gagl, 2016). BIDS dataset
Combined behavior and eye-tracking position and pupil data, measured with an Eyelink (SR Research), from 26 participants performing a binocular rivalry task (see Brascamp et.al, 2021). BIDS dataset
Combined resting-state fMRI and eye-tracking data, measured with an Eyelink (SR research), from 20 participants keeping their gaze steady at the screen center. BIDS dataset