How do we find out if a baby can see well?
summary
The talk explains using an eye tracker device to diagnose visual problems in infants and very young children who cannot communicate. It describes designing several screen-based tests that measure where a child is looking to detect possible vision issues.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 2:08Live DEV tool
- 5:37Digital system benefits
- 7:21Fixation test data
- 9:47Color blindness test
- 12:14Color test design
- 16:52Adaptation and threshold
- 17:36Conclusion
related talks
48mEye Tracking (a Deep Learning Approach)
17mEyeGrip: Detecting Targets in a Series of Uni-directional Moving Objects Using Optokinetic ...
20mEye-tracking and AI: Unveiling the Limitations and Synergies
19mEyeScout: Active Eye Tracking for Position and Movement Independent Gaze Interaction with Large ...
20mBuilding a Personalized, Auto-Calibrating Eye Tracker from User Interactions
37mSeeing is Believing: Mobile Vision API Deep Dive
19mEveryday Eye Contact Detection Using Unsupervised Gaze Target Discovery
19mGazeProjector: Accurate Gaze Estimation and Seamless Gaze Interaction Across ...
