Title: Senseye: In Pursuit of Gaze
Speaker: Mr. Kyle Grier
Date: Friday, February 7, 2020
Time: 1:00 p.m.
Location: Comal 212
Senseye is working on generating state of the art computer vision algorithms for purposes of discerning the state of the human eye as an analog for processes in the mind. Iterating on new research that pertains to feature extraction and model creation related to the eye is paramount. This talk will give an overview of Senseye's current projects, discussing old and new research on methods including gaze estimation, pupil segmentation, and synthetic data generation. We have demonstrated a point of gaze on screen error of less than 2 cm with our latest real time gaze algorithm.
Kyle is a computer vision engineer at Senseye Inc. a brain computer interface startup focusing on utilizing features from the eye to detect cognitive states. He develops real-time, highly accurate gaze tracking models as well as near state of the art pupil/iris segmentation algorithms. He is a graduate of the University of Texas at Austin from the computer engineering department with a focus on machine learning.