.txt files about eyetracking_classification HOT 8 CLOSED

Hi,

I'm afraid I can't share the original data but you can easily fake it.
The N1.txt,N2.txt... look like this:

380987 711.1 328.1 897.0 ...
380988 712.9 327.7 898.0 ...
380989 714.7 326.8 901.0 ...
380990 716.6 325.9 903.0 ...
380991 717.2 325.0 905.0 ...
380992 717.7 323.9 908.0 ...
380993 718.1 323.0 909.0 ...
380994 718.8 322.1 910.0 ...

And the Outcome file is just the classification result for each N file, so either 1 or 0.

Hope this helps

from eyetracking_classification.

ok thank you. Is there any way to contact you?
my twitter profile is: https://twitter.com/qa_qasimali

from eyetracking_classification.

I can share my LinkedIn if you're on there. Would that work?

from eyetracking_classification.

yes please that would be great.

from eyetracking_classification.

Sure, it's https://www.linkedin.com/in/thomas-mercier-0001

from eyetracking_classification.

can I ask one more thing,

I have ET data from a 60 Hz remote eye tracker.

recording_id timestamp tracking_status
7536 1047780806 0
7536 1047791909 0
7536 1047803012 0
7536 1047814116 0
7536 1047825219 0

I implemented IDT algo to find fixation points. The problem is with the duration threshold. If I give a duration threshold limit from 100 to 11000, it returns the same number of fixation points. e.g. 888 fixation points.

But when I give the following duration threshold then, it gives me the results:

Duration threshold total fixations
12000 till 22000 455
23000 till 31000 98

why do I have to give it in thousands in order to see the significant change? because of the timestamp? the timestamp was registered as the system timestamp at the time of recording. The depression threshold is 1.5 in all cases.

from eyetracking_classification.

Sorry can't help with that. I've not worked on fixation extraction before.

from eyetracking_classification.

ok thank you :)

from eyetracking_classification.