Week four has been a blast! I can’t believe so much time has passed. We had several guest speakers who were Rice Graduate Students. They visited our zoom meeting to chat about their work. Mary Jin and Brady Hunt are working on groundbreaking research centered around healthcare.
Mary Jin showcased her work on using imaging equipment to locate cancerous cells in tissue samples. Her talk was of particular interest to me not only for the “health” aspect but also for the imaging aspect. The level of detail in the images she shared was astounding.
Brandy Hunt’s research centered around making healthcare (screening for cervical cancer) in women accessible and affordable. Brandy understood that there are numerous barriers preventing women from getting proper screening. One is proximity to proper healthcare; the other is cost, among others. There is a disproportionate number of people all over the World, who don’t have access to quality health. Cost is another concern that delays proper healthcare for these same individuals. He and his team worked took a mobile health unit to bring screening to distant villages in Brazil. His end goal is to create low-cost handheld devices that could be used anywhere, and at any time to test for cervical cancer.
The main focus this week was completing research for my presentation. I have become very interested in the applications for computer vision. One such application is “Eye Tracking and Gaze Detection.” A question had arisen during this week that made me think a little harder. What is the difference between Gaze Detection and Eye Tracking? Gaze Detection is where a user’s eyes are focused when sitting in front of a monitor—Essentially, where on the screen users are looking. Eye-tracking is the process of measuring the motion of an eye relative to the head.
This entire time I though a was working on Gaze Detection. In reality, I was working on Eye Detection. see images below. The red-eye tracker is following my eye movement not necessarily where am I looking.
My research will be incorporated into a CS lesson I am working on for the fall semester. My students will create a program that will track their eye movement; while simultaneously using a clicker built from a Lego EV3 (student-created and programmed) to test their peripheral-vision.
Eye Tracking © C. Franklin
Eye Tracking © C. Franklin
2 Responses to Crunch Time!