Open marcgc21 opened 1 year ago
can i get to more about this issue please?
Hello @akoolarni. of course.
First follow this flow: https://github.com/ruxailab/web-eye-tracker-front/issues/35#issuecomment-1979195869 to create a calibration. Then you should grab the model and use it to perform real time predictions. This task requires you to create a new page after the calibration and try to use the model provided by the calibration to create a real time prediction environment.
The branch feat/real-time has an initial implementation of this feature you can take a look into it for inspiration.
You can use the code on the api project to generate the model used on js: https://github.com/ruxailab/web-eye-tracker The api branch is feat/realtime
Thanks a lot @hvini for the help
Will work on this
Hi @hvini. If this issue is still open, can you assign me this issue.
Hi @hvini! I submitted a proposal for Google Summer of Code to try to fix this issue. Can you please assign it to me so that I can start working on it?
Hello, as this issue is being inactive for some time, I will restart the interest of assignment. I've update the description to be more clear as well.
The idea behind this issue is to:
Create a realtime prediction screen after callibration process.
First follow this flow: https://github.com/ruxailab/web-eye-tracker-front/issues/35#issuecomment-1979195869 to create a calibration. Then you should grab the model and use it to perform real time predictions. This task requires you to create a new page after the calibration and try to use the model provided by the calibration to create a real time prediction environment.
Please comment here if you want to work on this :point_down: :point_down: :point_down:
interested!
assigned @SujashB ! If you have any question feel free to ask them here
To do the real-time prediction, what techniques do you suggest I use? I was thinking that I use KNN classification and Neural Networks with 2 hidden layers to do prediction.
Hi @SujashB , this particular issue is about using what we already have on the project. So it is to see how our linear regression model would behave with someone using it.
You need to add a screen after the callibration process that uses the data of this model to create the real time page.
(edited by @KarinePistili )
Create a realtime prediction screen after callibration process.
First follow this flow: https://github.com/ruxailab/web-eye-tracker-front/issues/35#issuecomment-1979195869 to create a calibration. Then you should grab the model and use it to perform real time predictions. This task requires you to create a new page after the calibration and try to use the model provided by the calibration to create a real time prediction environment.