Skip to content

Latest commit

 

History

History

dataEvaluation

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
data/EEG
data/EEG
 
 
utils
utils
 
 
.gitignore
.gitignore
 
 
Classify_AOIs_based_on_AST.ipynb
Classify_AOIs_based_on_AST.ipynb
 
 
Preprocessing01_fif_to_set.ipynb
Preprocessing01_fif_to_set.ipynb
 
 
Preprocessing02_JOURNAL_ICA.m
Preprocessing02_JOURNAL_ICA.m
 
 
Preprocessing02_PAPER_ICA.m
Preprocessing02_PAPER_ICA.m
 
 
Preprocessing03_data_format.ipynb
Preprocessing03_data_format.ipynb
 
 
Preprocessing04_skill_score.ipynb
Preprocessing04_skill_score.ipynb
 
 
Preprocessing05_JOURNAL_remodnav_event_detection.ipynb
Preprocessing05_JOURNAL_remodnav_event_detection.ipynb
 
 
Preprocessing05_PAPER_I2MC_fixxation_detection.ipynb
Preprocessing05_PAPER_I2MC_fixxation_detection.ipynb
 
 
README.md
README.md
 
 
RQ1_JOURNAL_Eyetracking_01_Fixation_metrics.ipynb
RQ1_JOURNAL_Eyetracking_01_Fixation_metrics.ipynb
 
 
RQ1_JOURNAL_Eyetracking_02_Fixation_metrics_token.ipynb
RQ1_JOURNAL_Eyetracking_02_Fixation_metrics_token.ipynb
 
 
RQ1_JOURNAL_Eyetracking_03_Fixation_metrics_aoi.ipynb
RQ1_JOURNAL_Eyetracking_03_Fixation_metrics_aoi.ipynb
 
 
RQ1_JOURNAL_Eyetracking_04_Fixation_metrics_line.ipynb
RQ1_JOURNAL_Eyetracking_04_Fixation_metrics_line.ipynb
 
 
RQ1_JOURNAL_Eyetracking_05_Saccade_metrics.ipynb
RQ1_JOURNAL_Eyetracking_05_Saccade_metrics.ipynb
 
 
RQ1_JOURNAL_Eyetracking_06_Chord.ipynb
RQ1_JOURNAL_Eyetracking_06_Chord.ipynb
 
 
RQ1_JOURNAL_Eyetracking_06_Visuals.ipynb
RQ1_JOURNAL_Eyetracking_06_Visuals.ipynb
 
 
RQ1_PAPER_Eyetracking.ipynb
RQ1_PAPER_Eyetracking.ipynb
 
 
RQ2_PAPER_EEG.ipynb
RQ2_PAPER_EEG.ipynb
 
 

README.md

Data Evaluation

Pipeline Describes

Preprocessing 01

Converts all the .fif files to .set files. This is done to do an automated ICA and filtering via Matlab/EEGlab

Preprocessing 02

Apply Notch 2,200 Hz filter and perform an ICA on the eeg data.

Preprocessing 03

Split the Data into a workable format for the rest of the pipeline. Therefore Data is splitted for each task into {Eyetracking, EEG, Behavioral}x{Code, Input, Output}x{CrossFixationBaseline}x{Answer}

Preprocessing 04

Calculate the skill score for each Participant. Using correct answers per minute.

Preprocessing 05

Calculate the fixation for each Participant using I2MC algorithm.

RQ1

Calculate the Metrics needed for RQ1.

RQ2

Calculate the Metrics needed for RQ2.