Guest Lecture in BBSN 5022: Eye-Tracking & Dynamic Data Analysis

What it is:

Guest lecture in Dr. Jean Tang-Lonardo's BBSN 5022 course." (see poster).

What we did:

• Present the "Eye-Track-ML" automated eye-tracking video coding pipeline.
• Explain how computer vision models can streamline data analysis for eye-tracking.
• For more information about the project, see our Eye-Track-ML post.

Presenting Eye-Track-ML to BBSN 5022, Teachers College

Read Full Project Details...

My lab partner, Yuexin Li, and I presented our Eye-Track-ML project as guest lecturers in Dr. Jean Tang-Lonardo’s BBSN 5022 course.

We presented the challenges of traditional manual coding methods and how our automated pipeline using computer vision models streamlines the process. For more information see our Coding Machine project.

Please see the slides from our guest lecture here.