AI Powered Iris Tracking with WebGazer.Js
Nicholas Renotte Nicholas Renotte
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 Published On May 6, 2021

Want to get started with Iris Tracking?

Interested in human computer interaction?

You NEEED to check out WebGazer.Js. The library is an open course package that allows you to build intelligent applications using Iris tracking. The amazing thing about this Javascript library is that it only requires a standard webcam and Node.Js to run.

In this video you'll learn how to get up and running with it super fast as well as being able to test out some of the pre-built demonstrations. A huge thanks to the team from Brown Human Computer Interaction for making this Open Source, it's amazing!

In this video you’ll learn how to:
1. Install WebGazer.Js and get up and running
2. Calibrate the Iris tracking model
3. Test out the Iris tracking powered Collision Game

Links
Webgazer.Js: https://webgazer.cs.brown.edu/
Node.Js: https://nodejs.org/en/
GitHub Repo: https://github.com/brownhci/WebGazer

Chapters:
0:00 - Start
0:15 - Introduction
0:29 - How it works
2:02 - Accessing WebGazer.Js
3:57 - Cloning the Code from GitHub
6:15 - Starting the Demo App
7:56 - Applying Calibration
12:19 - Ball Collision Game

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

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