Effacer les filtres
Effacer les filtres

How to extract eye tracking data by trial ID

8 vues (au cours des 30 derniers jours)
jlouise2022 le 14 Fév 2023
Modifié(e) : dpb le 15 Fév 2023
Hi there,
I have lots of eye tracking data from a 2 alternate forced choice experiment. In total, 496 trials per participant.
The data are in .asc format, and include MSGs for every forced choice onset. For example:
I would like to extract the data for each 2AFC trial. Such that my ideal data set would include only saccades/fixations/blinks within the 2AFC period, per trial (Trial ID 1 2AFC : Trial ID 496 2AFC).
Whilst i've been able to extract saccade/fixation/etc information using a toolbox, I'm stuck on how to filter the data by trial.
Maybe this can't even be achieved! But would appreciate any insights.

Réponse acceptée

dpb le 14 Fév 2023
Modifié(e) : dpb le 15 Fév 2023
Easiest would be to read the file line-by-line, looking for the magic value and then save data until the next, adding the trial as a variable...
You forgot to attach any usable data for anybody to actually demonstrate, but "air code" would look something like --
ID=input('Enter the magic ID to look for, please; ','s')
j=0; % the counter
d=[]; % empty accumulator for data
while ~feof(fid)
if matches(l,pat)
j=j+1; % increment counter
l=fgetl(fid); % get first data line in section
d=[d;[j str2double(l)]]; % convert line to data; add trial number and array
l=fgetl(fid); % record for next loop
catch % presume failure means next section
% do nothing special, pass on to next test if in wanted section
l=fgetl(fid); % record for next loop
will (hopefully) leave you with the array of values with the trial # as first variable; save as a matrix or convert to a table as desired.
  1 commentaire
jlouise2022 le 15 Fév 2023
Thanks for your insight. Accepted as answer as this may help someone else.
I'm now working with .edf files as they are easier to convert into mat files.

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